One subscription, every model — the aggregator tier
The platforms that sell you access to many frontier models at once instead of one vendor's. Rather than a ChatGPT subscription AND a Claude subscription AND a Gemini one, these put several models behind a single login, usually with a shared chat history, file uploads and some workspace features on top. → The trade-off runs through every chapter below: an aggregator gives you breadth and one bill, but you are a step further from each model's own newest features, and your data now sits with the aggregator as well as the model provider. → Read this alongside Private AI & governance if where the data lands is the deciding question.
It bundles access to many frontier models behind a single login and subscription, letting you switch between GPT, Claude, Gemini and others without separate accounts.
Your prompts travel through the aggregator’s servers in addition to the model providers’, so your data resides with both the platform and the original AI vendor, often without EU‑hosting guarantees.
If you need broad model coverage on a single bill for low‑stakes personal use or a small team that can accept shared data residency, an aggregator can simplify access compared to multiple subscriptions.
On the data-residency spectrum this is the far end: a public API, where aggregator platforms put dozens of models — GPT, Claude, Gemini, Grok, DeepSeek and more — behind one login and one monthly bill, and increasingly bundle an autonomous agent on top. The pitch: stop paying for four subscriptions and stop guessing which model is "best" this week. The catch is structural: your prompts now pass through a SECOND company that isn't OpenAI, Anthropic, or Google, usually priced in an opaque credits/points currency, and — Langdock aside — almost never with an EU-hosting guarantee. Fine for low-stakes personal use — the wrong rung for anything an institution's governance checklist would flag. → Pick by what you want: EU-hosted, for a team that has to answer where the data lives → Langdock; cheapest broad model access → Poe; agent that builds apps + a persistent messaging-app assistant → Abacus.ai; heaviest "AI employee" tool sprawl (80+ tools) → Genspark; you already pay for Perplexity and want its top tier's multi-model council → Perplexity Max.
Langdock’s free‑trial workspace that lets you test the platform without a credit card.
You will have an active Langdock trial account and know how to view the list of supported AI models.
A chat session in an all‑in‑one AI platform that automatically selects the most suitable underlying model for your request.
Send a prompt and receive a response routed to the best model without manually choosing one
An agent within an all‑in‑one AI platform that can output charts when the appropriate skill is enabled.
Enable the “Generate Charts” skill and receive a visual chart directly from your prompt
Langdock’s chat interface that accepts file uploads and processes them with any chosen model.
You will be able to upload a document, ask the AI to summarize it, and receive a concise summary.
Langdock Workflows – a visual builder that connects chat, agents, and actions into multi‑step automations.
You will have a workflow that watches incoming chat messages and calls an agent whenever the word “budget” is detected.
A multimodal Gemini session that ingests video, slides, and whiteboard photos to produce a summary email.
Upload mixed media files to Gemini and receive a ready‑to‑send recap email with decisions and action items.
Langdock’s built‑in data analyst capability that can parse uploaded tables and produce visualizations.
You will upload a CSV, ask the AI to create a bar chart of a selected column, and view the generated chart.
95 outcomes in all — one per recipe below.
Write a prompt that describes the product, lighting (like window light), objects and subtle imperfections such as lens distortion and camera shake. Submit it to get a static reference image, then ask the agent to add motion, hand actions and vertical format (9:16). Download the generated video and check that the movement looks human.
Route LLM automatically picks the most suitable large language model for your query by matching the task type to a model’s strengths. In ChatLLM, click the ‘Route LLM’ button, enter your prompt, press ‘Go’, and the system will show which model is used and give you the answer.
Abacus AI offers “mini” models (e.g., GPT‑5 Mini) that do not consume credits. When writing a prompt, open the model selector instead of Route LLM and choose a Mini model; the request will be processed without reducing your credit balance.
Yes, use the Tasks feature: click ‘New Task’, enter the prompt (e.g., “Weekly AI advancements summary”), set the schedule (such as every Sunday at 5 PM), enable email alerts with your address, and save. The task will run on the chosen interval and send the output via email.
Open Langdock, go to the Assistants tab and click “Create New Assistant”. Enter a name, a brief description, and write a concise role prompt that defines the assistant’s task, style, and format. Save it and the platform instantly spins up a live chatbot without any coding.
In the assistant view select the “Knowledge” tab and drag‑and‑drop your PDFs or text files (such as FAQs or product specs) into the folder, or use the upload button. Langdock indexes these files into a vector store, making their content searchable when the assistant answers queries.
Write a prompt that combines role, task, style, and output format—for example: “You are a professional customer service agent for Max Lamp Shop. Analyze incoming inquiries and draft a response. Style: clear, friendly, concise. Format: summary of request, answer, next steps.” Adding extra rules (e.g., always refer to the hotline) ensures consistent replies.
Open the assistant’s chat view and click the model dropdown at the top, then select a model such as Claude 3.5 Sonnet or GPT‑4. Use the Creativity/Temperature slider to set a value (e.g., 0.2 for low creativity) and save; subsequent queries will use those settings.
Need answers from only our internal docs
Langdock lets you create custom assistants by uploading internal documents and configuring system prompts. This works by grounding the LLM in your specific data rather than relying on general training data, ensuring accurate, context-aware responses.
Team members keep reinventing prompts
Instead of each employee writing prompts from scratch, Langdock provides a workspace-wide prompt library. This ensures consistent output quality and preserves institutional knowledge by making proven prompts instantly reusable.
Need to keep corporate AI data in the EU
Langdock's backend allows administrators to toggle which LLM providers are available and filter them by hosting region. This ensures sensitive corporate data stays within EU data centers to meet strict compliance requirements.
Docs scattered in Confluence, Notion and SharePoint
Langdock integrates directly with platforms like Confluence, Notion, SharePoint, and OneDrive. This allows the AI to index and search internal documents natively, solving the common problem of fragmented corporate information.
No single AI platform dominates every category. Claude excels at writing, Gemini leads in reasoning, coding, and research, while ChatGPT offers the broadest feature ecosystem. Matching the tool to the task yields better results than forcing one model to do everything.
Claude EveryoneClaude consistently outperforms competitors in writing tasks by maintaining natural phrasing, matching requested tones, and avoiding over-formatting. It follows stylistic instructions precisely, making it ideal for client work, emails, and content creation where voice matters.
Gemini demonstrates superior reasoning and coding consistency, especially with large codebases and complex dependencies. It handles multi-step analytical problems better than competitors and maintains context across larger projects without degrading output quality.
Gemini natively supports a 1-million-token context window that accepts text, images, audio, video, and YouTube links simultaneously. This allows you to ask cross-modal questions without switching tools or manually transcribing content.
Claude EveryoneClaude excels at research when you provide the source material directly. It stays strictly within uploaded documents, provides traceable citations, and flags uncertain information, preventing hallucination and web-search drift.
Only have one picture of a character
OpenArt can train a specialized model for a character using just a single uploaded image, ensuring the same facial features and appearance across all generations. This eliminates the need for dozens of training images and keeps visual continuity in stories or comics.
Can't find footage for a scene you imagined
The text‑to‑video generator lets you describe a scene, select a motion model (Cling 2.1 for realistic motion), and produce a full animation in minutes without any source footage.
Turn a still image into a short moving clip
Image‑to‑video conversion lets you add motion, camera shifts, and atmospheric effects to any generated picture by writing a short motion prompt, giving life to otherwise still art.
Blurry portrait that needs clearer faces
The built‑in upscaler can double resolution while adding fine facial details using the ‘2x plus face’ option, turning blurry outputs into crisp portraits.
Need the same image in another art style
OpenArt hosts over 100 image generation models; by swapping models you can keep the exact prompt but instantly change artistic style (photorealistic, anime, fantasy) while maintaining quality.
Want a custom character to speak on screen
By feeding a portrait of your consistent character into the V3 text‑to‑video model and adding a speech prompt, OpenArt produces realistic lip‑sync and facial animation for spoken content.
Want a psychedelic animation from a text idea
The Hyo video model excels at fast, inexpensive generation of stylized, abstract motion graphics, ideal for psychedelic or geometric visuals.
Need to tweak an AI‑made video without switching apps
After creating a video, OpenArt provides editing controls (trim, change quality, add overlays) so you can refine timing or enhance resolution without leaving the platform.
Langdock lets you select any model from providers like OpenAI, Anthropic, or Google without logging into each service. This keeps your workflow flexible and centralizes prompt management.
Need LinkedIn posts that match my brand voice
Agents are pre‑configured AI chatbots that can be trained with instructions, documents and integrations. By feeding brand guidelines and a content calendar you get instant, on‑brand posts.
Meeting requests land in Gmail
Workflows use a visual node editor to chain together agents, deterministic steps, and external actions. By checking email content, calendar availability, and drafting replies, you get a ready‑to‑send draft for every meeting request.
Want Salesforce info inside your chat
Pre‑built integrations let you pull data from existing SaaS tools directly into Langdock conversations, enabling context‑aware AI assistance without leaving the platform.
Everyone can pick any AI model
Workspace admins can whitelist which AI models are available to users, ensuring that only approved providers are used and helping meet security policies.
Unsure which model to use for a new AI task
Root LLM is Abacus AI's default large language model that automatically selects the best underlying model for your prompt, letting beginners skip manual model selection. It tailors responses to a wide range of tasks, making it ideal for first‑time users.
Abacus AI combines text, image, slide, and workflow tools in one interface, allowing you to turn a single concept into PDFs, Canva files, landing pages, and social media graphics without leaving the platform.
Need to handle many documents at once
The Deep Agent in Abacus AI is designed for heavy‑duty tasks like analyzing up to 16 documents at once, automating extraction, summarization, or data mining without manual prompting.
Need offline, faster access to your AI projects
Abacus AI offers a downloadable desktop client that syncs your projects and data, giving you offline‑ready access while keeping your information private.
Need a hero section that matches my design image
You describe the desired layout, colors, and effects in natural language and upload a reference image. The agent asks clarifying questions, then builds HTML/CSS/JS that matches the design, saving hours of manual coding.
Need to change the hero picture without touching code
By uploading a new image and giving a short textual instruction, the AI can locate specific components in the existing page and swap them out without touching code directly.
Typed letters disappear from the quiz input field
When a component misbehaves, you can describe the symptom and provide visual context; the agent patches the underlying code automatically.
Want a full SaaS landing page with courses, pricing and dashboard
You can request multiple high‑level features (course list, pricing, testimonials, dashboards) in one natural‑language description; the agent breaks it into tasks and builds each piece sequentially.
Need users to sign up, log in and see a personal dashboard
The platform includes a built‑in authentication service; by specifying fields (name, email, password) in your prompt, the agent provisions the backend and UI automatically.
Stuck on a homework question?
By describing the desired tutor capabilities (answer questions, summarize topics), the agent adds a chat UI and connects it to a selected LLM, enabling real‑time assistance.
I need a quiz on any subject
The agent can generate backend logic that takes a topic input, calls an LLM to produce questions, and renders them instantly, all from a single prompt.
Need a week‑by‑week learning roadmap
By providing input fields for goal, skill level, weekly hours, and duration, the agent builds logic that queries an LLM to output a structured study plan.
My AI calls are slow
Activating the ‘Supercomputer’ feature gives your project access to powerful GPU resources, allowing large models and faster inference without external hardware.
The platform runs built‑in tests after each generation step, catching errors early; you can view test results to ensure reliability.
Not sure which AI model fits your request
Root LLM examines your input and routes it to the most suitable language model (e.g., GPT‑4, Gemini) based on task type. This saves you from manually choosing a model and improves response quality.
Want images in a specific aspect ratio and several variations
Flux 1.1 Ultra is a text‑to‑image model that produces detailed pictures. By specifying aspect ratio (e.g., 16:9) and number of outputs, you control composition and get multiple variations in one request.
Want to replace part of an AI‑generated image
Ideogram’s inpaint feature lets you paint over parts of an image and ask the model to replace that region based on a new description, enabling iterative visual refinement.
Have a text outline and need slides
ChatLLM can turn a written outline into a full PowerPoint file, asking follow‑up questions for slide count and template choice, then populating each slide with generated content.
I need facts I can verify
When Root LLM is active and Deep Research is enabled, ChatLLM performs web searches and literature scans, returning answers that cite actual documents instead of hallucinated text.
Need a quick animated clip from a text prompt
Cling, accessed via ChatLLM’s video tab, interprets descriptive prompts and creates animated videos. Adjusting strength sliders influences how closely the output follows the prompt.
Need separate AI chats for each project
Projects act like separate folders where each has its own conversation history, custom instructions, and uploaded files, enabling consistent context across related tasks and easy collaboration.
Need to gather customer comments on your site
A Form trigger node starts the workflow when someone submits a form. You define required fields like name, feedback text, and optional email, which become the input data for downstream nodes.
Want to pull sentiment, category and a one‑sentence summary
An Agent node runs an LLM (e.g., Sonnet 4) using a custom prompt. By defining a structured output schema, the AI returns predictable fields instead of free‑form text, making downstream automation reliable.
Pull a user’s name and feedback into the prompt
Langdock lets you insert placeholders that pull data from previous nodes directly into an agent’s prompt, ensuring the AI processes the actual user input rather than static text.
Want analysis results sent straight to Slack
An Action node connects Langdock to external services. By referencing both trigger and agent outputs, you can compose a rich Slack message that includes sentiment, category, summary, and original feedback.
Team needs a live feedback form they can fill out
Deployment creates a versioned, enabled instance of the workflow and generates a unique URL for the Form trigger, allowing teammates to submit real feedback that instantly runs the automation.
Claude excels at long-form writing, complex coding, and autonomous agentic tasks, while Gemini dominates in deep web research, multimodal generation, and tight Google Workspace integration. Use this breakdown to match your primary daily tasks to the platform that handles them best.
Need to combine web and Drive data into one report
Gemini’s research mode automatically searches the web, attaches Google Drive files or Notebook LM notebooks, and synthesizes them into a single editable canvas with source citations. This works because it combines live web retrieval with a structured output layout, saving hours of manual cross-referencing.
Claude EveryoneNeed a multi‑step task run across your apps automatically
Claude’s agentic ecosystem (Co-work for desktop, Dispatch for mobile, and Claude Code for terminals) allows you to send complex, multi-step tasks that run autonomously across your files and applications. This works by chaining tool calls and maintaining context over long sessions, letting the AI handle execution while you step away.
Need to make or understand images and short videos in a chat
Gemini natively generates images and short videos directly within the chat interface and can analyze uploaded media or YouTube links. This works because Google’s infrastructure tightly integrates its diffusion models and video synthesis tools with the conversational UI, eliminating the need for external generators.
Need a local AI chat workspace
After installing AnythingLLM you click Get Started, choose an LLM provider (e.g., local model or NVIDIA NIM), select the model, and name your workspace. This initializes the app with your chosen backend and creates the main dashboard for chatting and agent work.
Want your chatbot to make visual charts
Agent skills are modular capabilities that can be toggled in the Settings → Agent Skills panel. Enabling a skill like “Generate Charts” adds the function to any agent you create, letting it output visual data without external tools.
Need info from a huge PDF
RAG (Retrieval‑Augmented Generation) lets the agent embed a document, then answer questions by searching its vector store. Uploading a 137‑page PDF and tagging the agent with “rag” enables fast, citation‑backed answers.
Need current facts for your query
The Web Search skill connects the agent to DuckDuckGo (or other providers). When enabled, the agent can fetch up‑to‑date information from the internet and incorporate it into its response.
Need a quick time‑management web app
With an agent that has code generation enabled, you can describe a small application and the model will output ready‑to‑run source files. This demonstrates using local LLMs for rapid prototyping.
Need a fresh account and org setup
You can quickly create an account on Abacus AI using Google, Apple, or Microsoft OAuth. After authentication you name your organization and add payment info to unlock the dashboard.
Need a picture in a specific size and style
The platform lets you pick any of its integrated diffusion models, set aspect ratio, guidance scale, seed and number of outputs, then generate images from a text prompt in seconds.
Want to add stuff to a generated image
After an image is created you can send it back to the platform with an edit instruction; the model re‑renders the picture adding or changing requested details while preserving style.
Want a slide deck from just a few notes
Using the built‑in PPT generator, you provide a topic or brief outline; Abacus AI builds slides, adds titles, bullet points and designs automatically.
Need a ready‑to‑launch landing page
The platform’s coding agent can write full HTML/CSS/JS files from natural language prompts and even suggest corrections, acting as an interactive IDE.
Want to pick a particular AI model for a query
Langdock lets you either let the autorouter pick the best model or manually select from ChatGPT, Claude, Gemini, Mistral, Llama etc. Selecting a model gives you control over capabilities, cost and latency.
Want a complete research report on any topic
The built‑in web research tool crawls the internet for up to several minutes, aggregates sources and returns a structured summary, saving you manual searching.
Need a branded document fast
By uploading a corporate template, Langdock can fill placeholders with AI‑generated content, producing ready‑to‑use documents while keeping branding consistent.
Langdock can connect to Microsoft services (SharePoint, OneDrive, Outlook, Teams) and search them directly from the chat, returning summaries or full content without leaving the platform.
Need to keep related chats, files and a shared prompt together
Projects let you group related chats, attach files, set a shared system prompt (instructions) and reuse that context across all conversations within the project.
Want an app from a simple description
The Deep Agent takes a natural‑language description of an app’s purpose and vibe, then automatically creates the backend API, database schema, and React Native front‑end. It works by interpreting intent, proposing a minimal viable plan, and executing code generation without any manual configuration.
Want to test a fresh React Native app on your phone
Expo Go lets you run a React Native bundle directly from a development server by scanning a QR code, bypassing the need for native build tools or app store accounts. The QR links to the dev server that streams the JavaScript bundle to the device.
Need to ship a React Native Android app without server work
After testing, Abacus AI can package an Android APK (and later iOS) and host the generated backend on its cloud platform. Deployment is handled automatically, letting you focus on product iteration rather than server configuration.
Only a text brief and need slides
GenSpark’s AI Slides lets you type a detailed request and the agent automatically researches data, creates slide layouts, adds tables, charts and images, then assembles a complete deck. It works by running parallel tools that fetch real‑world information and design elements based on your prompt.
Need to swap a slide picture by describing it
The AI Edit feature lets you select any element on a slide, describe the change in natural language, and the model searches for matching assets and swaps them while preserving layout. This removes manual searching and resizing.
Want a portfolio that copies an existing design
GenSpark’s AI Developer parses a live site, extracts layout, style and functionality, then writes HTML, CSS and JavaScript files automatically. You can switch models for speed or depth, and preview responsive layouts instantly.
My website colors don’t match my brand palette
By uploading a color‑palette image, GenSpark extracts hex values, rewrites global CSS variables and propagates the new colors throughout all components. This automates what normally requires manual stylesheet edits.
Need fresh answers from an AI
GenSpark’s chat interface lets you pick from multiple LLMs (GPT, Claude, Gemini, etc.) and toggle a web‑search mode. Different models give speed vs reasoning trade‑offs, while web search injects live data into responses.
Just a brief text, need a high‑resolution custom picture
The AI Image workspace offers multiple generation models, style presets, and an autoprompt feature that expands a simple description into a detailed prompt. This yields higher‑quality results without manual prompt engineering.
A still image you want to bring to life
GenSpark can take an existing image as a keyframe, let you describe motion, and use a video model to animate the scene. The system auto‑creates a motion prompt based on your description, producing a seamless animated clip.
Want to compose an email by speaking
The AI Inbox connects to your Gmail or Outlook, then lets you converse with the assistant (text or mic) to compose, edit, and send emails. It interprets spoken prompts into full email drafts, saving manual typing.
Got just a bio in a .txt file?
The Deep Agent can ingest a simple .txt file containing your bio and links, ask you clarification questions, then automatically write the HTML, CSS, JavaScript and set up a contact form with database storage. It also tests the site in a sandbox before deployment.
Need up‑to‑date severe‑weather warnings on one page
By describing a data‑aggregation task, the agent builds a full‑stack web app that pulls global severe‑weather warnings from multiple sources, deduplicates them, stores them in a database, and refreshes the display every hour.
Want a chess engine for your UCI board
The agent can plan, code, compile, and test a multi‑file C project that implements the UCI protocol and an alpha‑beta pruning search algorithm, delivering clean, modular source files ready for integration with any chess GUI.
ChatGPT is the most obedient model; it reliably executes every step in a detailed prompt without skipping. Testing with an optimizer prompt shows its longer, more thorough output compared to other models.
Meeting video, slides, and whiteboard photo?
Gemini can ingest mixed media (video, audio, images, text) in a single request thanks to its multimodal capability and 1 million‑token context window, allowing it to synthesize information from all sources at once.
Claude EveryoneWhen your code must work on the first try
Claude consistently produces higher‑quality first drafts of code, often working without needing revisions. Supplying clear problem description lets Claude output ready‑to‑run scripts.
Perplexity is fine‑tuned for rapid information retrieval and returns concise answers with source citations. Using Google‑style search operators narrows results to trusted domains.
Notebook LM only answers using the documents you upload, eliminating hallucinations. It’s ideal for verifying claims when you have authoritative source material.
Need every request handled by the strongest AI
Max mode is a setting inside Abacus AI that forces every request to be sent to Claude Fable 5, the platform’s strongest frontier model. Using it gives you full root access so the model can plan, code, run, debug and deploy autonomously.
I want a 3D racing game but can’t code
By describing the desired gameplay (controls, visuals, soundtrack) in one paragraph, Claude Fable 5 creates a complete self‑contained web page that implements the game and publishes it to a public URL without any manual coding.
One English request runs nine AI agents to trade
A single English request can instruct Fable 5 to orchestrate nine cooperating agents that ingest market data, research news, generate strategies, back‑test, risk‑check and present live trade decisions—all visualized on a dashboard.
Want your own AI chat without relying on others
Fable 5 can download an open‑source large language model (e.g., Qwen 2.5), install it as a persistent system service, and automatically generate a web interface that streams responses token‑by‑token, giving you full ownership of the model.
Simple questions drain budget
Abacus AI lets you define routing rules that send hard‑coding requests to Claude Fable 5, debugging queries to Claude Opus 4.8, and simple syntax questions to GLM 5.2, optimizing cost while keeping performance where it matters.
Need a quick customer‑support chatbot that answers from your docs
By using Langdock's built‑in assistant creator you can define name, description and a short instruction prompt, then instantly spin up a functional chatbot without writing code. The platform handles the backend integration and model hosting for you.
Need the AI to answer from our PDFs
Uploading PDFs or text files into Langdock’s knowledge folder automatically indexes them into a vector store, making the content searchable by the assistant at query time.
Need consistent, on‑brand answers from an AI
A well‑structured instruction prompt (role + task + style + output format) guides the LLM to produce consistent, professional replies and ensures it uses the uploaded knowledge correctly.
Need more creative vs deterministic answers
Langdock lets you pick different large language models per assistant and set a temperature (creativity) value, enabling you to balance deterministic answers with more expressive output as needed.
The same set on /recipes, filtered by tool and role.
The most recent Poe overview, so it reflects the current feature set.
A second, independent angle on Genspark — good for judging how approachable it really is.
The most tangible look at Comet's agentic browsing, the headline perk of Perplexity's premium tiers.
The clearest demo of the aggregator value proposition, aimed at non-developers.
Hands-on testing rather than marketing recap: does the all-in-one claim survive real work?
You leave with your own published bot, not just a tour — from an established training channel.
Write a prompt that describes the product, lighting (like window light), objects and subtle imperfections such as lens distortion and camera shake. Submit it to get a static reference image, then ask the agent to add motion, hand actions and vertical format (9:16). Download the generated video and check that the movement looks human.
Route LLM automatically picks the most suitable large language model for your query by matching the task type to a model’s strengths. In ChatLLM, click the ‘Route LLM’ button, enter your prompt, press ‘Go’, and the system will show which model is used and give you the answer.
Abacus AI offers “mini” models (e.g., GPT‑5 Mini) that do not consume credits. When writing a prompt, open the model selector instead of Route LLM and choose a Mini model; the request will be processed without reducing your credit balance.
Yes, use the Tasks feature: click ‘New Task’, enter the prompt (e.g., “Weekly AI advancements summary”), set the schedule (such as every Sunday at 5 PM), enable email alerts with your address, and save. The task will run on the chosen interval and send the output via email.
Open GenSpark in your browser, click ‘New’, choose “Super Agent”, type your question (for example, ‘Explain pros and cons of solar energy for small businesses and give a 100‑word action plan’), and press Send. The Super Agent runs a multi‑step reasoning chain and returns a short, structured answer.
Yes. Click ‘New’, select “Deep Research” (also called Spark Page), enter a concise request such as ‘Compare major AI research tools for a 2025 university thesis in 100 words’, and submit. The tool aggregates information, builds a title, table of contents, sections, citations and embeds an AI copilot, delivering a complete navigable page.
Open the AI Slides app, type a prompt like ‘Create a 10‑slide presentation on generative AI for non‑technical business managers, covering benefits, risks and three case studies’, and submit. GenSpark designs layouts, adds images via Nano Banana, and structures the content into a ready‑to‑use PowerPoint or Google Slides deck.
Select AI Sheet from the left panel, enter a natural‑language command such as ‘Create a monthly sales dashboard with columns for month, website traffic, number of orders, conversion rate and revenue; add sample data for the last 3 days and a revenue chart’, then send. GenSpark translates the description into tables, formulas, sample data and a chart automatically.
Open Langdock, go to the Assistants tab and click “Create New Assistant”. Enter a name, a brief description, and write a concise role prompt that defines the assistant’s task, style, and format. Save it and the platform instantly spins up a live chatbot without any coding.
In the assistant view select the “Knowledge” tab and drag‑and‑drop your PDFs or text files (such as FAQs or product specs) into the folder, or use the upload button. Langdock indexes these files into a vector store, making their content searchable when the assistant answers queries.
Write a prompt that combines role, task, style, and output format—for example: “You are a professional customer service agent for Max Lamp Shop. Analyze incoming inquiries and draft a response. Style: clear, friendly, concise. Format: summary of request, answer, next steps.” Adding extra rules (e.g., always refer to the hotline) ensures consistent replies.
Open the assistant’s chat view and click the model dropdown at the top, then select a model such as Claude 3.5 Sonnet or GPT‑4. Use the Creativity/Temperature slider to set a value (e.g., 0.2 for low creativity) and save; subsequent queries will use those settings.
You describe the final product you want, and Perplexity Computer splits that outcome into sub‑tasks. It then picks the best model from its 19‑model pool for each task and runs them in parallel, delivering research, code, design, or visuals all together.
Instead of writing step‑by‑step instructions, you state the desired final deliverable (for example a PDF report or an interactive dashboard) and its format. The system decides how to achieve that, which leads to clearer prompts and more accurate, properly formatted results.
Yes; by defining a schedule, source criteria, and output format, Perplexity sets up an autonomous agent that scans new content each week, summarizes the top stories, and delivers a PDF every Monday.
Open the Profile tab, enter your custom instructions in the self‑introduction field (e.g., “respond like a consultant, use simple language”), and save. Those instructions are then applied automatically to every new conversation.
Use the Focus dropdown on the Home tab (or the Sources filter in the chat toolbar) and select ‘Academic’. The query will then pull information solely from academic publications, improving relevance for scholarly topics.
Gemini
ChatGPT
Perplexity
vector databaseLLMtemperaturesystem promptagentworkflownodetrigger nodeif‑else nodestructured output schema{{name}} placeholdermodel dropdownpromptvertical video (9:16)horizontal video (16:9)media planupscaleRoute LLMChatLLMcreditsmini modelsDeep AgentThinking Modehero sectionSuper AgentSpark PageAI Slides (Guide Mode)AI SheetAI DocsAI DeveloperNano BananaGemini VO3ClawSpeaklyHubMark to editPerplexity ComputerOutcome‑Focused PromptingPerplexity ProfileFocus FeatureCollectionsAttach PDFsDeep Research ModeScheduled TasksSpaces CollaborationConnectorsModel SelectionVoice & DictationAsk, share, or report — over on the Heidelberg AI community forum.