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What Each Brief Builds

These are working examples from feeding the briefs to an AI coding agent. Each step took minutes, not days.

Brief 1 · The Table

Google Sheets Pattern Graph

Brief 1 sets up this template — a Google Sheet with 4 tabs following the Fodda Pattern Standard.

Signals tab

📊 Signals Tab — 5 real signals extracted from URLs, with summaries, sectors, and pattern links

Entities tab

🏷️ Entities Tab — Brands, technologies, and audiences extracted and linked to signals

Try it: Copy the template →
Brief 2 · Signal Collector + Pattern Recognition

The App That Populates Your Sheet

Brief 2 builds a full web app. Paste a URL → it extracts data via AI and writes to your Sheet. Then group signals into patterns.

Add Signal form

📥 Add Signal — Paste a URL, click "Extract & Preview". The LLM extracts title, summary, brands, sector, and writes it to your Sheet.

Suggest Patterns

🔍 Suggest Patterns — Click the button and AI analyzes your untagged signals, proposes groupings with confidence scores.

Patterns view

📋 Patterns View — 2 patterns identified: "Circular Retail Experiences" (7/10) and "AI-Guided Personal Shopping" (6/10), each linked to signals.

Build it yourself: Download Brief 2 → Feed it to your AI coding agent.
Brief 3 · Publish to Fodda

Turn Your Sheet Into an MCP

Register your Sheet on Fodda. You get an MCP URL that Claude, Notion, and any AI tool can query.

The result: An MCP URL like https://mcp.fodda.ai/mcp?api_key=YOUR_KEY&user_id=claude-user

Add it to Claude as a Connector or use it with a Notion Agent. Your knowledge graph is now queryable by AI.
🔗 Register your graph at app.fodda.ai → 📥 Download Brief 3