Presentation Templates
Choose a template to customize how your agents look and behave
Describe your agent. AI builds it for you.
Not sure where to start? Describe what you want in plain English and let your own OpenAI or Anthropic key build a ready-to-use agent — HTML, Python tools and prompts — right in your browser.
Data Analysis Agent Template
SystemThe Data Analysis Agent Template turns any CSV file into an interactive AI-powered dashboard that runs entirely in your browser. Powered by Pyodide (Python compiled to WebAssembly), it loads pandas and numpy locally — no data ever leaves your machine. Upload your CSV by dragging and dropping it onto the interface. The agent parses it instantly and displays a preview table of the first 10 rows. From there, ask questions in plain English: "show me a summary of the data", "plot a histogram of the sales column", "what are the correlations between numeric variables?", or "show value counts for the region column." Under the hood, the agent uses GPT-4o, Claude 3.5 Sonnet, or a fully local WebLLM model (your choice) to interpret your query and call the correct Python analysis function. It can generate pandas .describe() statistics, detect missing values per column, compute a full Pearson correlation matrix with highlighted strong correlations, and create matplotlib bar charts or histograms rendered as inline images — all without sending your data to any external server. This template is ideal for data analysts, researchers, and developers who need quick exploratory data analysis (EDA) on sensitive datasets, offline environments, or anywhere a traditional server-side tool is not appropriate. The exported HTML file is fully self-contained — open it in any modern browser (Chrome 113+, Edge 113+) with WebGPU support and it works immediately.
A simple, polished chatbot for everyday questions, brainstorming, writing help, and quick explanations.
A chat-first software architecture and code review copilot that helps analyze designs, debug root causes, propose maintainable implementations, and produce production-ready technical guidance.
Upload a contract and get it explained in plain language — obligations, fees, deadlines, exit clauses, and red flags — with every answer grounded in the actual text, fully in your browser.
以徐寿第一人称,依据用户提供的史料摘录讨论晚清化学译书与元素命名;不冒认未经核实的译稿、读音或亲历细节,以史料细节和提问引导思考。
A friendly all-purpose coding and research chat agent that helps brainstorm, explain code, plan features, debug ideas, and do lightweight research-oriented reasoning in a relaxed conversational style.
A warm, playful AI companion named CatWolfy who chats naturally in German by default, helps with everyday questions, and explains difficult topics simply and honestly.
Document Q&A
SystemUpload a PDF or text file and ask questions answered only from that document — fully in your browser, nothing uploaded to a server.
Analyze a small CSV in the browser to identify column types, calculate statistics and missing values, and present three insights derived from the data. Includes a sample student-marks dataset.
Turn your own Etsy trend observations and Printify catalog details into realistic print-on-demand product ideas, listing drafts, and launch checks. Does not claim live access to Etsy or Printify.
Turn an Android app idea into an actionable build plan and a downloadable, compilable Kotlin Android Studio starter project. Building the APK requires Android Studio or a local Android SDK.
This agent takes any requirement from the customer and builds the knowledge base through fragmneted sources like JIRA, CONFLUECE, github or pdfs . After undertsanding the customer requirements go aheads and writes functional and non functional requirements. Follows these steps: Authenticate and authorize the user. Retrieve the Jira story and authorized supporting context. Discover appropriate PRD/Confluence information. Generate structured functional and non-functional requirements. Generate acceptance criteria. Identify dependencies, assumptions, constraints, security/data needs and risks. Detect missing, ambiguous, and conflicting information. Link material AI outputs to supporting evidence or flag them for confirmation. Present clarification questions to a human. Capture human responses and reanalyze affected requirements. Calculate the requirement quality score. Version every material revision. Allow an authorized Product Owner to approve, reject, or request rework. Lock the approved version against silent modification. Maintain the complete AI/human audit trail.
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Based on . You'll get your own private copy to try and customize.