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🧾 Receipts

AI agent that tracks whether powerful people keep their promises.

Built at the Agentic Engineering Hack — May 23, 2026

What it does

  1. Finds public promises made by CEOs, founders, and public figures (via Nimble)
  2. Extracts concrete commitments with deadlines (via Gemini)
  3. Stores every promise in a database (via ClickHouse)
  4. Checks whether deadlines were met using live web evidence (via Nimble + Gemini)
  5. Publishes a public verdict page for each promise (via Senso)
  6. Traces the entire pipeline (via Datadog LLM Observability)

Who it's for

Journalists who need to track whether the people they cover follow through on their public commitments.

Setup

# Install dependencies
pip install -r requirements.txt

# Copy env template and fill in your API keys
cp .env.template .env

# Run
python agent.py

Sponsor tools used

  • 🔍 Nimble — live web search for statements and evidence
  • 🏠 ClickHouse — fast database for storing all promises and verdicts
  • 📢 Senso — publishing grounded, citeable verdict pages
  • 🧠 Gemini (Google DeepMind) — promise extraction and verdict reasoning
  • 🐶 Datadog — LLM observability and tracing

Run with Datadog tracing

DD_LLMOBS_ENABLED=1 \
DD_LLMOBS_ML_APP=receipts \
DD_API_KEY=your_key \
DD_SITE=us5.datadoghq.com \
ddtrace-run python agent.py

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AI agent that tracks whether powerful people keep their promises

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