POC (Proof of Concept)
POC (Proof of Concept)
Status: ✅ Planning Complete - Ready for Development
Version: 1.0
Goal: Prove that AI can extract claims and determine verdicts automatically without human intervention
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Overview
POC1 tests the core FactHarbor capability: Can AI automatically extract factual claims from articles and evaluate them with reasonable verdicts?
What POC Tests:
- AI claim extraction from article text
- AI verdict generation with confidence scores
- Fully automated approach viability (no human editing)
- Output comprehensibility to users
What POC Excludes (Intentional Simplifications):
- Scenarios (deferred to POC2 - architectural questions remain)
- Evidence display (deferred)
- Production infrastructure (simplified single-call architecture)
- Full data model (stateless POC)
Key Decision: Test AI capability first, add architectural complexity in POC2 based on learnings.
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POC Documentation
POC-Specific Pages:
- Requirements - Complete POC specification (17 sections, 1,197 lines)
- Summary - Executive overview and consolidated analysis
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Related Specification Pages
Core Specification:
- Requirements (Full System) - FR1-FR13, NFR1-NFR5
- User Needs - UN-1 through UN-17
- Gap Analysis - Feature gaps, proposes FR14-FR43
Architecture & Design:
- Architecture - System architecture and design
- AKEL - AI subsystem
- Data Model - Database schema
- Workflows - Process workflows
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Key POC Specifications
Output Components (4):
- Analysis Summary (3-5 sentences)
2. Claims Identification (3-5 claims)
3. Claims Verdicts (verdict + confidence + risk tier + reasoning per claim)
4. Article Summary (optional, 3-5 sentences)
Publication Mode: Mode 2 (AI-Generated, No Prior Human Review)
Quality Gates: 4 simplified gates (Source Quality, Contradiction Search, Uncertainty, Structural Integrity)
Success Criteria: ≥70% AI quality without manual editing
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POC vs. Full System
| Aspect | POC1 | Full System |
|---|---|---|
| Scenarios | None (deferred to POC2) | Core component (Claims → Scenarios → Verdicts) |
| Workflow | 3 steps | 6 phases with quality gates |
| AKEL | Single API call | Multi-component orchestrated pipeline |
| Data | Stateless (no DB) | PostgreSQL + Redis + S3 |
| Architecture | Simplified proof-of-concept | Production architecture |
| Requirements | FR-POC-1 to FR-POC-7 | FR1-FR43 (full system) |
Gap Between POC and Beta: Significant architectural expansion needed (scenarios, components, data model).
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Decision Gate
After POC testing complete, team makes one of three decisions:
GO (Proceed to POC2): AI quality ≥70%, approach validated
NO-GO (Pivot or Stop): AI quality < 60%, fundamental flaws identified
ITERATE (Improve POC): AI quality 60-70%, specific improvements needed
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Next Steps:
- Review Requirements for detailed specifications
2. Review Gap Analysis for feature priorities
3. Begin POC development
4. Test with diverse articles
5. Make GO/NO-GO decision
Document Version: 2.0 (Updated after Specification Cross-Check)