Understand the
Intelligence Machine
A transparent, reactive look at the architecture powering your autonomous B2B pipeline.
1,000+
Enriched Profiles
644+
Mini Audits Done
58+
Active Drafts
10
Successful Hits
Interactive Pipeline Flow
1. Harvester
Intelligence Discovery
harvest_intelligence.py2. Normalizer
Data Integrity
normalize_intelligence.py3. Targeter
Smart Batching
scripts/filter_*.py4. Orchestrator
Content Synthesis
orchestrate_pipeline.py5. Dispatcher
SMTP Delivery
dispatch_emails.pyThe Engineering Registry
A comprehensive breakdown of every technical component in the workspace.
| Module | Architectural Role | Key Technology |
|---|---|---|
company_intelligence.json |
The project's "Shared Consciousness." Stores every signal found for 1,000+ firms. | JSON Graph |
pipeline_governance.py |
Safety first. Enforces fail-closed gates if quality signatures drift. | Validation Logic |
check_imap.py |
Inbound intelligence. Scans sent folders to ensure zero duplicate outreach. | IMAP Sync |
outreach_template.md |
The blueprint. Defines the Glassmorphism layout and variable mapping. | Markdown Syntax |
How is Orchestration done?
Orchestration is the process of mapping **Enriched Signals** (e.g. "Fragmented SaaS stack") into **Tactical Solutions** (e.g. "Pilot Plan 1"). It connects the Harvester's output directly to the email template variables dynamically.
What kind of companies are there?
The system current manages 16,000+ entities, divided into logical batches: **AI Startups** (targeting tech pioneers) and **Global Services** (targeting enterprise modernization opportunities).