PIE (Personal Insight Engine)

Analyze your startup journey by distilling strategic patterns from your memory logs.

Setup

1. Configure API Keys:

PIE requires at least one of the following environment variables. If both are provided, Gemini is used by default.

• GEMINI_API_KEY: For Google Gemini 2.0 Flash (Recommended).
• ZHIPU_API_KEY: For Zhipu AI GLM-4.

2. Dependencies:

pip install -r requirements.txt

Usage

Run Weekly Review

By default, scans the last 7 days and auto-detects the provider:

python3 scripts/pie.py

Force a Provider

If you want to use a specific LLM regardless of your environment defaults:

python3 scripts/pie.py --provider zhipu
python3 scripts/pie.py --provider gemini

Custom Lookback

Scan a specific number of days (e.g., last 30 days):

python3 scripts/pie.py --days 30

Privacy & Safety (Hardened)

PIE is built for high-stakes startup analysis where privacy is non-negotiable:

• Zero-Exposure Redaction: Before transmission, all content is scrubbed for:
• API Keys, Tokens, and Passwords (regex-hardened).
• Email addresses and IP addresses.
• Local file system paths (home/user directories).
• Standardized Pathing: Only scans the memory/ folder within the official OPENCLAW_WORKSPACE.
• Content Distillation: Strips out JSON metadata and system headers to ensure the LLM only sees the semantic dialogue.

How it works

1. Discovery: Standardized scan of memory/ via OPENCLAW_WORKSPACE.
2. Sanitization: Multi-stage PII redaction (IPs, Emails, Keys, Paths).
3. Synthesis: Pattern recognition across logs for strategic pivots and pain points.
4. Output: Formatted Markdown report for the startup founder.

Developed by Leo & Neo (Startup Partners)