Teams converting to an AI-native company — real builds and copy-ready starters, grouped by what you’re trying to make. Filter by type (web app vs. agent) or tool, or search.
TypeTool
CRM & sales5
Base44 Founder AI-native SME Small biz
Course starter
Sales CRM with pipeline stages
A customer-relationship manager where you add leads, drag them through pipeline stages, and log every call or email against a contact.
→Your whole team works one shared pipeline instead of a messy spreadsheet — with logins, so everyone sees the same live data.
Try it yourself
Build a CRM where I can add leads, move them through pipeline stages (New, Contacted, Demo, Won, Lost), and log calls and notes on each lead. Give every teammate their own login and show a dashboard of deals by stage.
v0 AI-native SME Small biz
Course starter
Internal CRM admin panel
A back-office UI to manage customers: a data table with search, filters, status badges and a detail drawer.
→A usable internal tool shell your ops team can live in.
Try it yourself
Design an internal CRM admin panel with a sidebar, a customers data table with search, column sorting, status badges and pagination, bulk actions, and a slide-over detail panel showing the selected customer.
Make Small biz AI-native SME
Course starter
Calendly booking to CRM + follow-up sequence
When a meeting is booked via Calendly, the contact is upserted in HubSpot CRM, a follow-up email is scheduled for 24 h after the meeting, and a Slack message pings the salesperson.
→Every booked demo is automatically tracked and followed up — no lead falls through after the first call.
Try it yourself
Calendly module (new booking) → HubSpot module (upsert contact) → Scheduler module (delay to meeting end + 24 h) → Email module (follow-up) → Slack module (alert rep).
Zapier AI-native SME Founder
Course starter
HubSpot deal closed → Slack celebration + Google Sheets log
When a HubSpot deal moves to "Closed Won", Zapier posts a team celebration message to Slack (with deal value and owner) and logs the deal to a running revenue tracker in Google Sheets.
→Wins are celebrated publicly and revenue is logged automatically — no hunting in the CRM for month-end numbers.
Try it yourself
Trigger: HubSpot (deal stage changed to Closed Won) → Action: Slack (post message) → Action: Google Sheets (append row with deal name, value, owner, date).
OpenClaw Founder AI-native SME
In the gallery
Shared inbox triage and draft replies
OpenClaw reads a shared support or sales inbox on a schedule, classifies each new thread by intent, drafts a context-aware reply using remembered tone preferences, and posts a Telegram summary of what it handled versus what needs a human.
→Routine enquiries get a fast, on-brand first response and the team only touches threads that actually need judgment.
Try it yourself
Message your bot: "Every hour, check the support inbox. Classify each thread, draft a reply for anything routine, save your drafts for my approval, and ping me for anything urgent."
Dashboards & analytics17
Base44 AI-native SME Founder
Course starter
Operations KPI dashboard
A central dashboard where teams enter weekly metrics and leadership sees trends, targets, and red flags in one view.
→Gives the leadership team one honest scoreboard instead of five conflicting spreadsheets.
Try it yourself
Build an operations dashboard where each team logs in weekly to enter their KPIs (revenue, churn, leads, NPS). Show leadership a dashboard with trend charts, progress against targets, and metrics highlighted red when they miss target.
Lovable AI-native SME
Course starter
Internal operations KPI dashboard
A team dashboard that pulls operational data into charts and tables with role-based access.
→Give the team a single live view instead of five disconnected spreadsheets.
Try it yourself
Build an internal operations dashboard where staff log in with role-based access. Show KPI cards, trend charts, and a sortable data table of orders. Let managers add and edit records while regular staff can only view, and refresh the numbers in real time.
Lovable Founder AI-native SME
Course starter
Customer-facing analytics dashboard
A dashboard product where each customer logs in to see their own metrics in charts and tables.
→Ship the dashboard layer of your product without building UI from scratch.
Try it yourself
Build a customer-facing analytics dashboard where each user signs in and sees only their own data. Show summary metric cards, a line chart of trends over time, a breakdown pie chart, and a filterable table, with date-range filters at the top.
v0 Founder AI-native SME
In the gallery
Product analytics dashboard
An admin dashboard UI with KPI cards, line and bar charts, a recent-activity feed and a sidebar nav.
→A real-looking internal dashboard shell you can wire to your own data later.
Try it yourself
Create a product analytics dashboard with a left sidebar, top KPI cards (active users, revenue, churn, conversion), a large revenue line chart, a signups-by-source bar chart, and a recent events table.
A chart-driven UI where filters and a dropdown re-render the visualisation against a dataset.
→A hands-on way to let people poke at your data instead of reading a static chart.
Try it yourself
Create an interactive data explorer with a metric dropdown, a date-range filter, and a category selector that together drive a responsive line chart and a sortable data table beside it.
v0 Small biz AI-native SME
Course starter
Expense tracker dashboard
A finance UI with spend-by-category charts, a transactions table, budget bars and monthly totals.
→A clear money overview for a solo business or small team.
Try it yourself
Design an expense tracker dashboard with monthly total and budget-remaining cards, a spend-by-category donut chart, a category budget progress list, and a searchable, filterable transactions table.
v0 Creator AI-native SME
Course starter
Marketing campaign dashboard
A campaign performance UI with channel KPIs, spend vs revenue charts and a per-campaign table.
→A reporting surface that makes campaign results legible.
Try it yourself
Create a marketing campaign dashboard with KPI cards (impressions, clicks, conversions, ROAS), a spend-versus-revenue area chart, a channel breakdown bar chart, and a table of campaigns with status and CTR.
Hermes Founder AI-native SME
Real build
A control room for a fleet of agents
An open dashboard to manage fleets of agents, dispatch tasks, and track costs across them.
→Multi-agent work becomes observable and budgetable instead of a black box.
Try it yourself
Build me a control-room dashboard for my agent fleet — list every running agent, let me dispatch tasks to each, and show a live cost tally so I can see what each agent is spending.
A plugin records all tool and API calls to SQLite with Grafana dashboards profiling token spend across Telegram, WhatsApp and cron. Needs the token-audit plugin installed first.
→Finance-grade cost and usage visibility before you scale agents to a team.
Try it yourself
Start recording all my tool and API calls to SQLite and set up a Grafana dashboard showing daily spend by channel.
Each morning the scenario pulls key metrics from multiple sources (e.g. Stripe MRR, Google Analytics sessions, Intercom conversations), appends a row to a Google Sheets ledger, and emails a summary to the leadership team.
→A single morning email replaces manual tab-switching across five dashboards.
A workflow splits a labelled dataset, trains a Random Forest classifier using KNIME's learner nodes, evaluates it with a scorer, and deploys it as a local REST endpoint for batch prediction.
→A working predictive model is built and validated without writing any code, and retraining is a one-click re-run.
Try it yourself
CSV Reader → Partitioning node (80/20) → Random Forest Learner → Random Forest Predictor → Scorer → ROC Curve node → KNIME Server REST endpoint (deploy).
Cursor AI-native SME Founder
In the gallery
Find and optimise slow SQL queries in an existing ORM layer
Cursor reads the SQLAlchemy model definitions and the slow-query log, identifies N+1 patterns and missing indexes, rewrites the problematic queries using eager loading, and generates the Alembic migration to add the indexes.
→Dashboard load time drops from 4.2 s to 0.6 s; the migration is production-ready with rollback included.
Try it yourself
Open Cursor chat with the ORM files in context: "Here is the slow-query log. Find N+1 patterns and missing indexes in models/. Rewrite the queries and generate an Alembic migration for the recommended indexes."
OpenClaw AI-native SME Founder Scientist
Course starter
API or metric threshold alert
OpenClaw polls an internal API or public endpoint on a schedule, evaluates a condition you define (error rate, response time, a numeric threshold), and fires an alert to Telegram or Slack the moment the condition is breached — along with the raw value and a short triage note.
→You are notified the instant a KPI or system metric crosses a threshold, without running a monitoring stack or paying for an alerting service.
Try it yourself
Message your bot: "Every 15 minutes, hit [endpoint]. If the response time is over 2s or the status is not 200, ping me on Telegram with the value and a one-line triage note."
Customer & client portals3
Base44 AI-native SME
Course starter
Vendor & supplier portal
A portal where suppliers log in to submit quotes, upload documents, and track purchase-order status with your ops team.
→Replaces scattered supplier emails with one system of record for procurement.
Try it yourself
Build a vendor portal where suppliers log in to submit quotes and upload compliance documents. Let our ops team create purchase orders, approve quotes, and track delivery status. Give procurement a dashboard of open orders and spend per vendor.
Base44 Founder AI-native SME
Course starter
Customer account portal
A logged-in portal where your customers view their account, submit requests, and download their documents and invoices.
→Gives customers a self-serve home and cuts repetitive support requests.
Try it yourself
Build a customer portal where my clients log in to see their account details, submit support or change requests, and download their invoices and documents. Give my team an admin view to respond to requests and manage each client’s files.
Lovable Small biz AI-native SME
Course starter
Agency client portal
A branded portal where each client logs in to see project status, files, invoices, and messages.
→Look like an established agency and keep every client conversation in one place.
Try it yourself
Build a client portal where each client logs in and sees only their own projects, with status updates, shared files, and a list of invoices. Add a message thread per project and an admin side where my team updates statuses and uploads deliverables.
Booking & scheduling4
Base44 Small biz AI-native SME
Course starter
Volunteer & shift coordination
An app where volunteers sign up for open shifts and coordinators see coverage gaps and hours per person.
→Fills shifts with self-serve signups and shows exactly where you’re short-staffed.
Try it yourself
Build a volunteer coordination app. Coordinators post shifts with date, role, and slots needed; volunteers log in and claim open shifts. Show coordinators a coverage view of which shifts still need people and total hours per volunteer.
Lovable Small biz AI-native SME
Course starter
Volunteer shift scheduler
A scheduler where volunteers see open shifts, sign up, and organizers track coverage.
→Fill shifts without a chaotic group chat.
Try it yourself
Build a volunteer scheduler where organizers post shifts with date, time, role, and slots needed. Volunteers log in, browse open shifts, and claim ones they want. Show organizers a coverage view of which shifts are still understaffed.
Lovable AI-native SME Scientist
Course starter
Room & equipment booking system
An internal booking system for shared rooms or instruments with conflict-free scheduling.
→End the double-booking arguments over the shared microscope or meeting room.
Try it yourself
Build a booking system for shared resources like meeting rooms or lab instruments. Show each resource’s calendar, let staff reserve a time slot, prevent overlapping bookings, and give admins a view of all reservations with the ability to cancel.
v0 Scientist AI-native SME
Course starter
Lab equipment booking tool
An internal scheduler for shared instruments showing availability, a booking form and a calendar view.
→Stops the spreadsheet chaos around shared lab gear.
Try it yourself
Create a lab equipment booking tool with a list of instruments, a weekly calendar showing existing bookings, a slot-reservation form with user and purpose fields, and a “my bookings” panel.
Internal tools & ops73
Base44 AI-native SME
Course starter
Internal IT helpdesk & ticketing
An internal support desk where staff submit tickets, agents triage by priority, and managers watch resolution times on a dashboard.
→Replaces a chaotic shared inbox with a tracked queue and accountability per agent.
Try it yourself
Build an internal helpdesk where employees log in and submit support tickets with a category and priority. Let support agents assign tickets to themselves, change status, and add comments. Add a dashboard showing open tickets and average resolution time.
Base44 AI-native SME
Course starter
Company asset inventory
An internal tool to track company laptops, equipment, and who currently has each item, with a check-out and check-in log.
→Always know where every device is and who’s responsible for it.
Try it yourself
Build an asset inventory app for our company. Track each item with a serial number, category, status, and assigned employee. Let staff check items out and back in with a timestamped log, and give IT a dashboard of what’s available vs in use.
Base44 AI-native SME
Course starter
Employee onboarding tracker
An onboarding hub where each new hire has a checklist of tasks, owners, and due dates that HR and managers track to completion.
→New hires ramp faster and nothing falls through the cracks across IT, HR, and their manager.
Try it yourself
Build an employee onboarding tracker. For each new hire, create a checklist of onboarding tasks assigned to different owners (IT, HR, manager) with due dates. Let the new hire log in to see their own progress and give HR a dashboard of all onboardings.
Base44 AI-native SME Small biz
Course starter
Expense submission & approval
An app where staff submit expenses with a receipt photo and managers approve or reject them, with totals per department.
→Turns reimbursement chaos into a clean approval queue with an audit trail.
Try it yourself
Build an expense app where employees submit an expense with amount, category, and a receipt photo. Their manager logs in to approve or reject it with a comment. Show finance a dashboard of pending approvals and total spend by department this month.
Base44 AI-native SME Founder
In the gallery
Team project & task board
A kanban board where tasks move across columns, get assigned to people, and roll up into a workload dashboard.
→A shared source of truth for who’s doing what, tailored to your team’s exact workflow.
Try it yourself
Build a project board with columns (To Do, Doing, Review, Done). Each task has an assignee, due date, priority, and description. Let teammates log in, drag tasks across columns, and comment. Add a dashboard of tasks per person and overdue items.
A helpdesk where an autonomous Superagent reads incoming tickets, drafts a reply from your knowledge base, and flags hard ones for a human.
→Deflects routine questions automatically while keeping a human in the loop for the tricky ones.
Try it yourself
Build a support app where customers submit tickets. Add an AI Superagent that reads each ticket, searches our help articles, drafts a suggested reply, and auto-tags urgency. Let agents log in to approve or edit the draft before it’s sent.
Base44 AI-native SME Small biz
Course starter
AI document intake & extraction
An app where staff upload PDFs or invoices and built-in AI extracts the key fields into a structured, searchable table.
→Turns piles of documents into clean data without manual re-typing.
Try it yourself
Build a document intake app where staff upload invoices or contracts as PDFs. Use AI to extract key fields (vendor, date, amount, due date) into a structured record, let users correct any field, and make the whole table searchable and exportable.
Base44 AI-native SME Founder
Course starter
Meeting notes & action tracker
A shared log of meetings where each one captures notes and action items with an owner, due date, and status.
→Decisions and follow-ups actually get done because every action has an owner and a deadline.
Try it yourself
Build a meeting tracker where I log each meeting with attendees and notes, then add action items with an owner, due date, and status. Let owners log in to mark their actions done and show a dashboard of open and overdue actions per person.
Lovable AI-native SME
Course starter
Employee onboarding tracker
An internal tool where new hires work through onboarding checklists and HR tracks progress.
→Make onboarding consistent and visible instead of buried in email threads.
Try it yourself
Build an employee onboarding tracker where HR creates checklist templates and assigns them to new hires. New hires log in and check off tasks, upload required documents, and HR sees a dashboard of each person’s completion percentage.
Lovable AI-native SME
Course starter
Expense submission & approval tool
An internal tool where staff submit expenses with receipts and managers approve or reject.
→Replace the email-and-spreadsheet expense process with a clear audit trail.
Try it yourself
Build an expense approval tool where employees submit expenses with amount, category, and a receipt photo. Route each to their manager, who can approve or reject with a comment. Show employees the status of their submissions and finance a report of approved totals.
Lovable AI-native SME Founder
Course starter
Team goals & OKR tracker
An internal tool for setting objectives and key results, with owners, progress, and check-ins.
→Make goals visible and reviewable instead of forgotten after the offsite.
Try it yourself
Build an OKR tracker where teams set objectives with measurable key results, assign owners, and update progress as a percentage. Show a company dashboard rolling up progress by team, and add quarterly check-in notes on each objective.
Lovable Founder AI-native SME
Course starter
Multi-team SaaS with workspaces
A SaaS where users create or join a workspace, invite teammates, and share scoped data.
→Get the multi-tenant foundation most B2B SaaS needs, generated for you.
Try it yourself
Build a SaaS with team workspaces where a user can create a workspace, invite teammates by email, and assign roles of admin or member. Scope all data to the workspace so teams only see their own, and add a settings page to manage members and billing.
v0 Founder AI-native SME
In the gallery
Auth screens (sign up & log in)
A matched pair of authentication screens with email/password, social buttons and a split-image layout.
→Professional auth UI you can drop into any Next.js app.
Try it yourself
Create sign-up and log-in screens with a split layout: form on the left, brand imagery on the right. Include email and password fields, “continue with Google” and “continue with GitHub” buttons, and a forgot-password link.
A component showcase page with buttons, inputs, cards, badges and typography in a consistent theme.
→A living style guide you can hand to a team and build from.
Try it yourself
Build a design system showcase page presenting buttons in all states, form inputs, cards, badges, alerts, and a typography scale, all using a single cohesive colour palette with light and dark variants.
v0 AI-native SME Founder
Course starter
Kanban task board
A drag-friendly board with columns, task cards, labels, assignees and an add-task modal.
→A working project board UI for a small internal tool.
Try it yourself
Build a Kanban board with columns To Do, In Progress, and Done, draggable task cards showing title, label colour, and assignee avatar, a card-count per column, and an “add task” modal.
v0 Founder AI-native SME
In the gallery
AI chat interface
A chatbot UI with a message thread, streaming-style assistant bubbles, an input bar and suggested prompts.
→A clean chat front-end ready to connect to any model API.
Try it yourself
Build an AI chat interface with a scrollable message thread, alternating user and assistant bubbles, a typing indicator, suggested-prompt chips above the input, and a textarea with a send button.
A guided setup flow with a progress stepper, per-step forms and a finish summary.
→A smooth first-run experience that lifts activation.
Try it yourself
Design a multi-step onboarding wizard with a top progress stepper, steps for account details, team setup, and preferences, back/next navigation with validation, and a confirmation screen at the end.
v0 AI-native SME
Course starter
Feature flags admin UI
An internal control panel to toggle features per environment with descriptions and audit info.
→A real admin surface for an internal platform tool.
Try it yourself
Build a feature flags admin UI with a searchable table of flags, a toggle switch per flag, environment tabs (dev, staging, prod), a description and last-changed column, and a “create flag” dialog.
v0 Small biz AI-native SME
Course starter
Inventory management panel
A stock-control UI with a products table, quantity badges, low-stock alerts and an edit dialog.
→A no-spreadsheet way for a shop to watch stock.
Try it yourself
Design an inventory management panel with summary cards (total SKUs, low stock, out of stock), a products table with stock-level badges and low-stock highlighting, search and category filters, and an edit-stock dialog.
Hermes Founder AI-native SME
Real build
Plan → Code → QA → Ship in one run
A main agent plans, a coder sub-agent implements, a QA sub-agent tests, and failures loop back to repair before it ships — a one-person build team on cheaper models.
→A solo founder gets a plan-build-test-fix loop that normally needs a small team.
Try it yourself
Act as a one-person build team for [describe your feature] — plan it yourself, implement it with a coder sub-agent, test it with a QA sub-agent, loop back on failures, and message me on Telegram when it ships.
A main agent with cross-project memory spawns a sub-agent per project or Slack channel, runs on a VPS, and sends a daily WhatsApp report.
→One coordinating brain that remembers every project — and reports proactively.
Try it yourself
Act as my Chief of Staff — keep cross-project memory, spin up a sub-agent for each of my projects, and send me a WhatsApp summary every evening at 7pm covering progress, blockers, and what needs my attention.
After ~10 days the agent internalises a developer's review preferences — which files to read first, patterns to flag, how to format output.
→Code review that fits your team’s taste because it actually remembers it.
Try it yourself
Study my repo at [path] — learn which files matter most, note patterns to flag in reviews, and remember my preferred output format. After ten sessions, save everything you have learned as a codebase-review skill.
A second agent monitors Hermes’s workflows in real time, catches breaks as they happen, and fixes them mid-run.
→Long autonomous runs that self-correct instead of silently failing.
Try it yourself
Spin up a monitor sub-agent that watches my main workflow in real time, catches any tool failure or loop, fixes it mid-run if it can, and pings me on Telegram if it needs my input.
A multi-agent orchestration layer that splits a goal into research, planning and execution agents.
→A repeatable way to throw several agents at one objective without chaos.
Try it yourself
For this goal — [your goal] — split the work into three specialist agents: one for research, one for planning, and one for execution. Coordinate them and report back with the final output when done.
An AI-native SDLC built on a code graph so the agent understands the whole repo before it changes anything.
→Bigger changes land safely because the agent reasons over the full codebase.
Try it yourself
Index my entire repo into a code graph, then implement [your feature or bug fix] — read the graph to understand dependencies before touching anything, and show me a diff for review before committing.
A three-actor email orchestration on DBOS + PostgreSQL + S3 with the Gmail API, running in production for weeks.
→Proof Hermes holds up as real backend infrastructure, not just a demo.
Try it yourself
Build a three-actor email pipeline on PostgreSQL: one actor fetches new Gmail threads, one drafts replies in my voice, one sends approved drafts — save it as a skill and run it every 30 minutes.
A consultant ran a production Hermes for 297+ days straight, automating over $100K of client value.
→Evidence a self-hosted agent can be durable, revenue-generating infrastructure.
Try it yourself
Take over [my recurring client deliverable — weekly reports / data pulls / outreach sequences], run it automatically every week, and log completed work to memory.
A starter where the agent summarises yesterday’s progress across your projects each morning and asks what to prioritise, then recaps at day’s end.
→A self-running operating rhythm for a one-person business.
Try it yourself
Every weekday at 9am, summarise where each of my projects stands and ask me what to prioritise. At 6pm, recap what moved and flag anything stuck.
Hermes AI-native SME Founder
Real build
Run the company as a four-agent team
A 24/7 setup runs four Hermes agents — PM, Dev, DevOps and Content — sharing five MCP servers and 34 tools, coordinated by a watchdog.
→A blueprint where each function has an always-on agent doing the routine work.
Try it yourself
Set up a four-agent team for my company with a PM, Dev, DevOps and Content agent sharing the same MCP tools, and message me on Telegram when each agent completes a task.
A printing-factory operations manager wrote a skill that auto-categorises tasks and compresses completed work into summary cards so nothing gets lost.
→A non-tech SME turning a real operational pain — forgetting things — into a trusted AI workflow.
Try it yourself
Create a skill that auto-categorises my team’s incoming tasks by type and compresses completed ones into weekly summary cards saved to a shared folder.
A community skill that makes Hermes an autonomous SRE — detecting, diagnosing and healing production infra, and learning from every incident. Needs the hermes-incident-commander skill installed first.
→On-call that gets smarter over time, combining memory, cron, messaging and sub-agents.
Try it yourself
Monitor my main service, auto-diagnose the next alert, attempt a fix, and message me on Telegram with the outcome.
A stack underneath Hermes adds tamper-proof audit logs, prompt-injection blocking, memory encryption, cost tracking and EU AI Act exports.
→A path to running agents in a regulated company without crossing compliance lines.
Try it yourself
Add tamper-proof audit logging and prompt-injection blocking to my current agent setup, then export an EU AI Act compliance report for my last 30 sessions.
Hermes on a local Kubernetes cluster for isolation, producing a daily cybersecurity + AI briefing.
→Enterprise-grade isolation with a useful daily output to justify it.
Try it yourself
Deploy to my local Kubernetes cluster in an isolated namespace and schedule a daily cybersecurity and AI briefing delivered to my Telegram every morning at 7am.
Claude handles chat and research while Hermes does the execution — email, browsing, forms — 24/7 on a mini PC.
→A clean division of labour: one brain to think, one to do.
Try it yourself
Handle all my execution tasks — email, browsing, form submissions — triggered by my Claude chat sessions, and remember my workflow preferences across both agents.
Connecting Hermes to a managed long-term memory layer (retain / recall / reflect) for reliable recall at scale.
→Org knowledge that persists and is retrievable beyond a single machine.
Try it yourself
Connect to a managed long-term memory backend, remember my top five client requirements, then retrieve them accurately in a new session to confirm reliable recall.
A security skill that protects against common LLM threats with recommended policies — important before you let a team agent touch real systems. Needs the security-hardening skill installed first.
→A safer baseline for an agent that has real access.
Try it yourself
Apply the security-hardening skill’s recommended policies to my current setup and report which LLM threat vectors are now blocked.
A starter where the agent holds your team's playbooks as skills, answers "how do we do X here?" in Slack, and writes a new skill whenever someone teaches it something.
→The knowledge that usually lives in three people’s heads becomes a shared, growing agent.
Try it yourself
Watch our team Slack. When someone explains how we do a recurring task, save it as a skill. When anyone asks "how do we do X?", answer from those skills and cite who taught it.
Hermes Founder AI-native SME
Real build
A full agent stack in one command
A community installer that stands up Hermes with 29 pre-configured plugins in a single command.
Try it yourself
Run the Evey community installer to stand up Hermes with 29 pre-configured plugins in a single command on my machine. Needs the evey-setup skill installed first.
A community plugin that watches sessions and turns repeated workflows into reusable skills automatically. Needs the hermes-skill-factory plugin installed first.
Try it yourself
Watch my sessions over the next week and automatically package any repeated workflows into reusable skills.
A community skill that delegates tasks across Hermes, Codex and Claude through the Agent Client Protocol. Needs the hermes-agent-acp-skill installed first.
Try it yourself
Break my current task — [task] — into sub-tasks and delegate the coding parts to Codex and the reasoning parts to Claude via ACP.
A team bot with per-user sessions, an isolated terminal and an allowlist — one agent the whole team can message. Needs the team-telegram skill installed first.
Try it yourself
Configure the allowlist with my team’s Telegram usernames [paste list] and give each member their own session with a shared terminal.
A documented pattern running authorised security assessments with Kali tools, scope confirmation and approval gates. Needs the pentest skill installed first.
Try it yourself
Confirm the target scope [paste scope], then run an authorised assessment against my staging environment [URL] and produce a findings report.
Polls Gmail for new messages, sends each through an AI classifier node that assigns a category (support, billing, press, spam), then applies the matching label and optionally drafts a reply.
→The inbox is pre-sorted before a human reads it, cutting triage time by roughly half.
When an email with a specific label arrives in Gmail, Zapier extracts the attachment and parsed data fields, then appends a new row to a designated Google Sheet — useful for recurring CSV reports sent by suppliers or clients.
→Incoming data files land in the spreadsheet automatically instead of requiring manual download and paste.
Try it yourself
Trigger: Gmail (new email matching label) → Action: Formatter (parse attachment / extract fields) → Action: Google Sheets (append row).
Dify AI-native SME
Course starter
Internal policy and HR Q&A bot
Indexes company handbooks, HR policies, and onboarding documents into a private Dify knowledge base, then serves a chat interface where employees get instant, document-grounded answers to policy questions.
→HR ticket volume for common policy questions drops, and answers are traceable to the exact policy clause.
Try it yourself
Upload HR docs (PDF/Word) → Dify Knowledge base → Chatbot app (private, SSO via Dify's built-in auth) → Embed in company intranet as iframe.
Claude Code Founder AI-native SME
Course starter
Add a REST endpoint + OpenAPI docs to an existing FastAPI app
In an existing FastAPI codebase, Claude Code adds a new `/reports/summary` GET endpoint: it reads the router pattern, creates the Pydantic schema, wires the database query, writes the route, adds tests, and updates the OpenAPI description — touching five files consistently.
→The endpoint is live and tested within 20 minutes, and the generated OpenAPI spec is correct on the first try.
Try it yourself
Run `claude` in the project root: "Add a GET /reports/summary endpoint to the FastAPI app. Follow the pattern in app/routers/projects.py. Return aggregated row counts grouped by status. Add tests in tests/routers/."
Codex Scientist AI-native SME
Course starter
Build a CLI on top of an existing Python library
Codex reads an existing analysis library and generates a Click-based CLI wrapper with subcommands for each public function, help text derived from docstrings, and integration tests — all added to the repo without touching the library itself.
→Lab members run analyses from the terminal without writing any Python; the CLI ships as part of the next package release.
Try it yourself
Run `codex`: "Add a Click CLI in cli/main.py that exposes all public functions in src/analysis/pipeline.py as subcommands. Derive help text from existing docstrings. Add tests in tests/cli/."
Aider AI-native SME Founder
Course starter
Extract a reusable service class from tangled controller code
Using aider's git-backed multi-file editing, business logic scattered across three controller files is extracted into a clean service class, existing tests are updated to call the service directly, and each change is committed with a meaningful message.
→The refactor is done in a single aider session with a clean git history — reviewable commit by commit — and no test regressions.
Try it yourself
Run `aider app/controllers/order_controller.rb app/controllers/invoice_controller.rb`: "Extract order fulfilment logic into a new OrderFulfilmentService class. Update tests. Commit each logical step separately."
Windsurf AI-native SME Small biz
Course starter
Extend Django admin with custom list filters and bulk actions
Windsurf reads the existing Django models and admin registrations, adds date-range and status dropdown filters to the order admin, implements a "mark as shipped" bulk action, and registers custom column display — following the project's existing admin patterns.
→Operations staff can filter and bulk-update orders directly in Django admin without a custom internal tool build.
Try it yourself
Open Windsurf with the admin.py and models.py in context: "Add a date-range filter, a status filter, and a bulk 'mark as shipped' action to the OrderAdmin class. Match the patterns already used in ProductAdmin."
With one CRUD route written as a pattern, Copilot completes the remaining five resource routes (list, create, read, update, delete, delete) with correct error handling and validation — following the established pattern without deviation.
→A full set of CRUD routes that would take 2–3 hours to type is done in 20 minutes with consistent style and no copy-paste errors.
Try it yourself
Write the first route (e.g. GET /items) in full. Start the second route with the function signature — Copilot will complete the body. Accept, review, and repeat for each resource.
OpenClaw Small biz AI-native SME
Course starter
Nightly backup with delivery confirmation
OpenClaw runs a shell backup script each night, verifies the archive size and checksum, rotates old backups, and sends a one-line Telegram confirmation — or an alert if anything failed.
→Backup status is visible every morning with zero manual effort; failures surface immediately instead of on the day you need to restore.
Try it yourself
In Telegram: "Every night at 2am, run ~/scripts/backup.sh, check the output size is > 10MB, rotate archives older than 30 days, and ping me with pass/fail."
Ollama AI-native SME Scientist
Course starter
Offline PII redaction before cloud upload
A short Python script loops over HR or patient records, sends each row to a locally running Llama 3 model via the Ollama REST API, and asks it to replace names, addresses, and ID numbers with placeholders — the cleaned file is written locally before anything goes to an external service.
→Sensitive records are de-identified on the machine, satisfying data-governance requirements without involving a third-party API.
Try it yourself
Run `ollama pull llama3`, then POST each row to `localhost:11434/api/generate` with prompt: "Replace all PII in the following text with [REDACTED_<TYPE>]. Return only the cleaned text."
Ollama Founder AI-native SME
Course starter
Local code review assistant wired into the editor
A VS Code extension (or simple shell alias) pipes a selected code block to a locally running CodeLlama model via `ollama run`, asking for a brief review covering bugs, edge cases, and readability — results appear in the terminal or a side panel.
→A free, always-available code reviewer that works on proprietary code offline, with no API subscription needed.
Try it yourself
Run `ollama pull codellama`, then in a terminal: `cat myfile.py | ollama run codellama "Review this code for bugs and suggest improvements."` Wire to a keybinding for repeated use.
LM Studio AI-native SME Small biz
In the gallery
Contract clause review without a legal API
A business owner pastes supplier or client contract text into LM Studio's chat and asks the model to flag unusual indemnity clauses, payment terms, and jurisdiction choices — all processed locally before involving a lawyer for final sign-off.
→A first-pass legal screen is done in minutes on sensitive contract text, without uploading confidential terms to a cloud AI service.
Try it yourself
In LM Studio, use a large instruction model. System prompt: "You are a contract analyst. Flag clauses that are unusually risky for the buyer. Be specific and cite the clause text." Paste the contract.
Jan AI-native SME Founder
In the gallery
Meeting transcript cleaner and action-item extractor
Raw auto-transcribed meeting text (filler words, speaker overlaps, repetitions) is pasted into Jan; the model returns a clean summary and a bulleted action-item list with owners and deadlines — sensitive business discussions never leave the local machine.
→Clean, actionable meeting notes are ready in under a minute, with confidential strategic discussions processed entirely offline.
Try it yourself
Open Jan, use any instruction model. Prompt: "Clean up this meeting transcript. Remove filler words and repetitions. Then list all action items in format: [owner] — [action] — [deadline]." Paste the raw transcript.
Claude Scientist AI-native SME
Course starter
Keep a running AI-contribution log per project
Ask Claude to help you create a structured markdown log — one entry per session — recording which task was delegated, what the model produced, and what human verification was done. Commit the log alongside your project files.
→If a co-author, editor, or auditor asks "where exactly did AI help?", you have a traceable record rather than a vague recollection.
Try it yourself
Prompt: "Create a template for an AI-use log with columns: Date, Task, Model, Output summary, Verification step taken."
Gemini AI-native SME Founder
Course starter
Choose Workspace or Vertex data residency for EU-regulated data
For organisations subject to GDPR or sector-specific EU data-residency obligations, use Gemini via Google Workspace (Business or Enterprise) or Vertex AI with an EU region selected — not the consumer Gemini.google.com interface.
→Prompt and response data stays within the EU region and is governed by the Google Workspace data-processing agreement, satisfying most data-residency audit requirements.
Try it yourself
In the Google Cloud console → Vertex AI → select a europe-west region before creating any Gemini API project. For Workspace, confirm your admin has enabled the EU Data Region in Admin console → Account → Data regions.
Langflow AI-native SME Small biz
Course starter
Form-to-action intake agent
A Langflow agent reads incoming request text, classifies it, extracts the key fields, and routes a structured summary to the right inbox — exported as an API the rest of your stack calls.
→Messy free-text requests arrive pre-sorted and structured, with no manual triage.
Try it yourself
New Flow → Agent + a "classify/extract" prompt → export as API → POST a sample request to it.
Content & marketing5
Base44 Creator AI-native SME
Course starter
Content calendar & approval flow
A content planner where drafts move from idea to scheduled, with a reviewer approving each post before it goes out.
→Keeps a multi-channel content team aligned with one calendar and a clear approval gate.
Try it yourself
Build a content calendar where I add posts with a channel, copy, image, and publish date. Posts move through stages (Idea, Draft, In Review, Approved, Published). Give editors a login to approve drafts and show everything on a monthly calendar view.
Base44 Creator AI-native SME
Course starter
Brand asset library
A searchable library of logos, images, and templates that team members browse, filter by tag, and download.
→Everyone grabs the latest on-brand assets instead of digging through old chat threads.
Try it yourself
Build a brand asset library where I upload logos, images, and templates with tags and a category. Let team members log in, search and filter assets, preview them, and download. Give admins a view of which assets are most downloaded.
n8n Founder AI-native SME Creator
In the gallery
GitHub release notes to Notion changelog
Listens for a GitHub release event, passes the release body through an AI node to rewrite it in user-friendly language, and appends the result to a public-facing Notion changelog page.
→A polished changelog entry is live within a minute of tagging a release — without a human writing it.
Try it yourself
GitHub trigger (release published) → AI node (rewrite release notes for end users) → Notion node (append block to changelog page).
Dify Creator AI-native SME
Course starter
AI content brief generator from brand guidelines
An agent that takes a keyword or topic, retrieves the brand voice guidelines from a knowledge base, and outputs a structured content brief with angle, audience, key points, and suggested headline options.
→Writers start every piece with a consistent, on-brand brief instead of a blank page, cutting brief-writing time by around 80%.
Give ChatGPT the bullet points and have it draft a clear email, proposal, or summary — then refine tone in follow-ups.
→A solid first draft in seconds, then tightened to your voice.
Try it yourself
"Turn these bullets into a friendly but professional client update, ~150 words."
Marketplaces & directories3
Base44 Founder Creator AI-native SME
In the gallery
Member directory & community hub
A logged-in directory where community members create profiles, browse and search each other, and connect.
→Turns a list of members into a living, searchable network they keep coming back to.
Try it yourself
Build a member directory where people sign up, create a profile with their skills, location, and interests, and browse and search other members. Let admins approve new members and feature spotlights, and let members message or request to connect.
An internal people directory with searchable member cards, role, department and contact details.
→A friendly internal “who’s who” for a growing team.
Try it yourself
Create a company team directory with a search bar, department filter chips, and a grid of member cards showing photo, name, role, department and email, plus a detail modal on click.
v0 AI-native SME Founder
In the gallery
Careers / job board page
A careers page with open-role cards, filters by team and location, and a role detail view.
→A hiring page that reflects well on the company.
Try it yourself
Build a careers page with an employer-brand hero, filters for department, location and remote, a list of open-role cards showing title, team and location, and a role detail page with description and an apply button.
A mobile-friendly app where field workers record observations with photos, GPS notes, and timestamps that sync to a central database.
→Replaces paper field sheets with structured, instantly-shared data the whole team can analyze.
Try it yourself
Build a field data collection app where workers log in on their phone and record observations with a category, notes, photo, and location. Sync everything to a central database and give the lead a dashboard and map-style table of all entries.
Lovable Scientist AI-native SME
Course starter
Lab reagent & equipment inventory
An internal tool to track reagents, equipment, and stock levels with low-stock alerts and a checkout log.
→Replace the shared spreadsheet that nobody keeps up to date.
Try it yourself
Build a lab inventory tracker where team members log in and record reagents and equipment with quantity, location, and expiry date. Let people check items in and out, flag anything below a minimum threshold, and show a dashboard of low-stock and soon-to-expire items.
Hermes Scientist Creator AI-native SME
Real build
Daily research brief across six platforms
Watches your field, picks the real signals, writes a brief, suggests angles, and delivers via Discord, Slack, Notion, email, Obsidian or markdown.
→One self-improving morning brief instead of ten tabs you never get to.
Try it yourself
Each morning, scan my field's top sources, pick the 5 developments that matter, write a short sourced brief, and post it to my Slack. Learn which items I react to.
Each morning OpenClaw searches preprint servers and curated RSS feeds for your saved keyword list, ranks results by relevance using your local model, and sends a digest to Telegram with one-line summaries and links.
→A focused reading list lands before you open your laptop — no manual search, no information overload.
Try it yourself
Send to your OpenClaw bot on Telegram: "Every weekday at 7:30am, search arXiv and bioRxiv for my keyword list, pick the 5 most relevant, and message me a digest. Learn which ones I open."
Perplexity Founder AI-native SME
In the gallery
Quick sourced market check
Use Perplexity to get a cited overview of competitors, pricing, or a regulation — with links to verify each claim.
→A fast, checkable briefing instead of an unsourced guess.
Try it yourself
Ask: "Who are the main competitors for X and how do they price, with sources?"
Claude Scientist AI-native SME
Course starter
Turn off model-training before pasting unpublished data
Before pasting any unpublished results, patient measurements, or proprietary formulas into Claude, navigate to Claude.ai → Settings → Privacy → and confirm that "Improve Anthropic's products" is off (free tier) or use the API with no retention by default.
→Your unpublished data is not used to train future model versions, protecting both research priority and participant confidentiality.
Try it yourself
Check Claude's current model card or privacy settings page for the exact toggle name — it changes between product versions. The API has no human-review data retention by default.
ChatGPT Scientist AI-native SME
In the gallery
Cross-check every paper ChatGPT cites actually exists
When ChatGPT provides a literature citation, paste the exact title and author list into Google Scholar, PubMed, or Semantic Scholar before including it in any document. Ask ChatGPT to provide the DOI and then resolve the DOI yourself.
→Fabricated references — a well-documented failure mode of all large language models — are caught before they reach a report, grant application, or manuscript.
Try it yourself
Follow-up prompt: "Give me the DOI for each paper you cited." Then open doi.org/<DOI> directly. If the DOI does not resolve, the citation is fabricated.
Commerce & payments1
v0 Founder AI-native SME
In the gallery
Pricing page with plan compare
A pricing section with tiered plan cards, a monthly/annual toggle and a feature comparison table.
→A pricing page that makes the upgrade choice obvious.
Try it yourself
Design a pricing page with three plan cards (Starter, Pro, Enterprise), a monthly/annual billing toggle that updates prices, a “most popular” highlight, and a detailed feature comparison table below.
An event app where attendees register, get a ticket, and organizers check them in at the door from an admin view.
→Handles signups and day-of check-in in one place, with live attendance counts.
Try it yourself
Build an event registration app. Attendees sign up with name and email and receive a confirmation with a ticket code. Give organizers a check-in screen to mark arrivals and a dashboard showing registered vs checked-in counts in real time.
A tool to build a survey, collect responses from a public link, and analyze results on a live charts dashboard.
→Own your survey data end to end with custom analysis instead of a locked-in form tool.
Try it yourself
Build a survey app where I create questions (multiple choice, rating, text) and share a public link. Collect responses into a database and show a live dashboard with charts per question and a filterable table of raw responses I can export.
Lovable AI-native SME Creator
Course starter
Branded survey & feedback tool
A tool to build branded surveys, share a public link, and view responses in real-time charts.
→Collect feedback on your own domain instead of a generic form service.
Try it yourself
Build a survey tool where I create surveys with multiple question types, share a public link, and collect responses without requiring respondents to sign in. Show me a results dashboard with charts per question and let me export raw responses.
Lovable Small biz AI-native SME
Course starter
Quote request & lead intake portal
A multi-step quote request form that captures structured leads and routes them to a sales inbox.
→Turn vague enquiries into structured leads you can actually act on.
Try it yourself
Build a quote request portal with a multi-step form that collects project details, budget range, and contact info. Save each submission as a lead, show me an admin inbox where I can view and update lead status, and confirm submission to the customer.
Lovable Founder AI-native SME
In the gallery
Public product feedback board
A board where users post feature ideas, upvote others, and the team marks status.
→Let customers tell you what to build and show them you’re listening.
Try it yourself
Build a public feedback board where users sign in and post feature requests. Let everyone upvote ideas, sort by most-voted, and comment. Give the team admin controls to change each idea’s status to Planned, In Progress, or Shipped.
A data-viz dashboard summarising survey responses with charts, distributions and a respondents breakdown.
→A clear visual readout of your study or feedback data.
Try it yourself
Build a survey results dashboard with summary stat cards, a Likert-scale stacked bar chart, a demographics donut chart, a response-over-time line chart, and a filterable table of individual responses.
v0 Founder AI-native SME
In the gallery
Feature request / feedback board
A public board where ideas are listed, upvoted and tagged by status (planned, in progress, shipped).
→A transparent roadmap surface that turns users into contributors.
Try it yourself
Create a feature request board with a list of idea cards each showing title, vote count with an upvote button, a status badge, and a comment count, plus filter tabs by status and a “submit idea” button.
Each Typeform submission is mapped to structured fields and written to an Airtable base, then a formatted Slack message notifies the team with the respondent's key answers.
→Feedback lands in a searchable database and the right people see it immediately, with no manual forwarding.
Ingests a raw Qualtrics export, recodes reversed items, filters incomplete responses, calculates composite scores, and outputs a publication-ready summary table with descriptive statistics.
→Data cleaning that usually takes a day in SPSS or R is a reusable, auditable KNIME workflow.
Try it yourself
CSV Reader → Row Filter (completion threshold) → Math Formula (recode reversed items) → GroupBy (mean, SD per scale) → Normalizer → Data to Report node.
Knowledge & docs14
Lovable AI-native SME
Course starter
Internal team knowledge base
A searchable wiki where staff write and find internal docs, with categories and access control.
→Stop answering the same questions in chat over and over.
Try it yourself
Build an internal knowledge base where staff log in, write articles in categories, and search across everything. Let authors edit their articles, show a sidebar of categories, and restrict editing to logged-in staff while keeping a clean reading view.
v0 Founder AI-native SME
Course starter
Product changelog page
A timeline-style changelog with dated entries, version tags and feature/fix labels.
→A “what’s new” page that keeps users in the loop and looks intentional.
Try it yourself
Build a product changelog page with a vertical timeline, entries grouped by date, version badges, coloured tags for New, Improved and Fixed, and a subscribe-to-updates input at the top.
v0 AI-native SME Founder
Course starter
Help center / docs UI
A support hub with search, category cards, a sidebar article nav and a clean article reading layout.
→A self-serve support surface that deflects tickets.
Try it yourself
Create a help center with a big search bar in the hero, a grid of topic category cards, a sidebar with collapsible article navigation, and a clean article page with a table of contents and “was this helpful” feedback.
v0 Creator AI-native SME
In the gallery
Online course platform UI
A learning UI with a course catalog, a lesson player layout with a sidebar curriculum and progress.
→A credible e-learning front-end for a course creator.
Try it yourself
Build an online course platform with a catalog grid of course cards, and a lesson view that has a video player area, a collapsible curriculum sidebar with completion checkmarks, lesson notes, and a progress bar.
A company wiki with global search, a folder/space sidebar, recent docs and a clean document page.
→A tidy home for internal know-how as a team scales.
Try it yourself
Build an internal knowledge base with a prominent search, a sidebar of spaces and nested pages, a recently-updated section, and a document page with breadcrumbs, a table of contents, and author/last-edited metadata.
Hermes Creator AI-native SME
Real build
Diagrams from a sentence
A skill that generates draw.io diagrams from natural-language descriptions.
→Flowcharts and architecture diagrams without opening a diagram tool.
Try it yourself
Turn this description into a draw.io diagram: "[paste your system or process description here]" and export the XML file ready to open in draw.io.
Watches an arXiv RSS feed for a query category, extracts title, authors, abstract, and PDF link, and appends each new preprint as a structured row in a shared Notion database.
→The team's Notion library is updated daily with relevant preprints so no one misses a key paper.
Migrate a Node.js utility library from JS to TypeScript
Claude Code renames files, adds type annotations, creates a tsconfig, updates the package.json build script, and fixes the resulting type errors across the entire library — iterating until `tsc --noEmit` passes with zero errors.
→A 30-file library is fully typed in one session; downstream teams immediately benefit from autocomplete and compile-time safety.
Try it yourself
Run `claude` in the library root: "Convert this Node.js library to TypeScript. Rename .js → .ts, add strict type annotations, set up tsconfig.json, and iterate until tsc --noEmit passes."
Aider AI-native SME Creator
Course starter
Auto-sync README examples with actual function signatures
After a breaking API change, aider reads both the updated source files and the README, identifies every code block that references the old signatures, and rewrites them to match the new API — then commits the documentation fix alongside the source change.
→Documentation drift is fixed in minutes; the next person to follow the README gets working code, not a confusing deprecation error.
Try it yourself
Run `aider src/api.py README.md`: "The function signatures in src/api.py changed in the last commit. Update every code example in README.md to match the new signatures."
OpenClaw AI-native SME Small biz
Course starter
Internal knowledge Q&A over your docs
OpenClaw indexes your internal docs folder and remembers the index across sessions; team members ask procedural questions in a shared Slack channel and the bot replies with the relevant passage and file path.
→Policy and process questions get a precise, document-grounded answer in seconds — reducing interruptions to senior staff and keeping remote teams unblocked.
Try it yourself
In Slack: "Index our docs at [path] and remember the structure. Whenever anyone in this channel asks a process question, answer from those docs and cite the file."
Ollama AI-native SME Founder
In the gallery
Summarise confidential board reports on a plane
Board packs, legal memos, or NDA-protected documents are pasted into a local prompt; a Llama 3 model running in Ollama returns executive summaries and key action items — the laptop needs no internet connection at any point.
→Decision-relevant summaries are ready before landing, with zero data leakage risk and no dependency on airport Wi-Fi.
Try it yourself
Run `ollama pull llama3`, then `ollama run llama3` and paste the document text with prompt: "Summarise in 5 bullet points, then list action items with owners."
LM Studio AI-native SME
Course starter
Private HR policy chatbot for an SME
HR uploads the staff handbook and policy PDFs to a local folder; LM Studio's chat UI is used with a system prompt grounding answers to that folder's content — employees ask questions about leave, expenses, and conduct in a local web interface with no data leaving the office network.
→Routine HR queries are answered instantly without involving a SaaS chatbot that would hold proprietary policy text on external servers.
Try it yourself
In LM Studio, load a mid-size instruction model, set system prompt: "Answer only from the provided policy documents. If unsure, say so." Paste the relevant policy text into the system context or use LM Studio's document-grounding feature.
AnythingLLM AI-native SME Founder
In the gallery
Private team knowledge base from your own docs
IT self-hosts the AnythingLLM Docker server on the office network and ingests the staff handbook, SOPs, and internal wiki into a shared workspace. Employees chat with it like an internal ChatGPT, and every answer links back to the source document — all running against a local model so proprietary content stays in-house.
→Staff get instant, cited answers from company docs without a SaaS chatbot ever holding the proprietary text on external servers.
Try it yourself
Deploy AnythingLLM via Docker, set a local model provider, create a workspace, upload your handbook / SOP / wiki exports, and share the URL internally. Ask: "What is our parental-leave policy and who approves it? Cite the policy."
ChatGPT Scientist Creator AI-native SME
Course starter
Instruct ChatGPT to signal uncertainty rather than guess
Open every research-focused session with a system-level instruction: "If you are uncertain about any fact, say 'I'm not sure' and tell me what you are basing the answer on. Never produce a confident-sounding answer when your confidence is low."
→The model's confident tone — its most dangerous trait for factual work — is partially counteracted, and you are more likely to receive explicit uncertainty signals you can act on.
Try it yourself
Paste this instruction as the first message in every new conversation used for literature or factual research tasks.
Trackers2
Base44 Scientist AI-native SME
Course starter
Grant & deadline tracker
A tracker for grant applications with funder, amount, submission deadline, status, and assigned team member.
→Never miss a funding deadline again — the team sees every application’s stage at a glance.
Try it yourself
Build a grant tracker where I add funding opportunities with the funder name, amount, deadline, and status (Drafting, Submitted, Awarded, Rejected). Assign each grant to a team member, give everyone a login, and show a calendar of upcoming deadlines.
Base44 AI-native SME Founder
Course starter
Applicant tracking system
A hiring tool where candidates apply, recruiters move them through interview stages, and interviewers leave scored feedback.
→Keeps every hire’s pipeline and interview notes in one accountable place.
Try it yourself
Build an applicant tracking system. Candidates apply to a role with their CV; recruiters move them through stages (Applied, Screen, Interview, Offer, Hired). Let interviewers log in to leave a score and notes, and show a dashboard of candidates per stage.
Base44 Founder AI-native SME Small biz
v0
OpenClaw
Lovable
Hermes
n8n
Dify
Claude Code
Aider
Copilot
Ollama
LM Studio
Gemini
ChatGPT
Perplexity