Wiki source code of POC Specification

Last modified by Robert Schaub on 2025/12/24 18:27

Hide last authors
Robert Schaub 1.1 1 = POC Specification =
2
3 **This section contains detailed specifications for FactHarbor POC phases.**
4
5 **Core Philosophy:** Prove the AKEL automation works before building production features. Each POC phase validates critical technical capabilities.
6
7 {{warning}}
8 **Critical Innovation in POC1 Context-Aware Analysis:**
9
10 POC1 tests whether AI can understand that an article's overall credibility is not simply the average of its individual claim verdicts. An article with mostly accurate facts can still be misleading if it draws unsupported conclusions.
11
Robert Schaub 2.1 12 See [[Article Verdict Problem>>FactHarbor.Specification.POC.Article-Verdict-Problem]] for full discussion.
Robert Schaub 1.1 13 {{/warning}}
14
15 == POC Phase Navigation ==
16
Robert Schaub 2.1 17 * **[[POC Requirements>>FactHarbor.Specification.POC.Requirements]]** Complete POC1 & POC2 specification (v4.0)
18 * **[[POC Summary>>FactHarbor.Specification.POC.Summary]]** Executive overview
19 * **[[Article Verdict Problem>>FactHarbor.Specification.POC.Article-Verdict-Problem]]** Why context-aware analysis matters
Robert Schaub 1.1 20
21 == Roadmap Navigation ==
22
Robert Schaub 2.1 23 * **[[POC1 Roadmap>>FactHarbor.Roadmap.POC1.WebHome]]** Core Workflow with Quality Gates
24 * **[[POC2 Roadmap>>FactHarbor.Roadmap.POC2.WebHome]]** Robust Quality & Reliability
25 * **[[Requirements Roadmap Matrix>>FactHarbor.Roadmap.Requirements-Roadmap-Matrix.WebHome]]** Phase assignments
Robert Schaub 1.1 26
27 == Key Specifications ==
28
29 **POC1 Goal:** Prove AI can extract claims and evaluate them with context-aware analysis
30
31 **POC1 Output:** 5 components
32 1. Analysis Summary (context-aware, 4-6 sentences)
33 2. Claims Identification (3-5 claims)
34 3. Claims Verdicts (verdict + confidence + reasoning)
35 4. Article Summary (optional)
36 5. Usage Statistics (cost tracking)
37
38 **POC1 Philosophy:**
39 * Context-aware analysis (article ≠ sum of claims)
40 * Cost efficiency tracking (viable at scale)
41 * Fail-fast learning (test critical capabilities)
42
43 **POC1 Success Criteria:**
44 * AI quality ≥70% (including context-aware assessment)
45 * Cost per analysis <$0.05 (target)
46 * Minimal manual editing (<30%)
47
48 **POC1 → POC2 Decision Gate:** GO / NO-GO / ITERATE
49
Robert Schaub 2.1 50 See [[POC Requirements>>FactHarbor.Specification.POC.Requirements]] for complete specification.
Robert Schaub 1.1 51
52 == POC vs. Full System ==
53
54 |= Feature |= POC1 |= POC2 |= Full System
55 | Scenarios | ❌ Deferred | ✅ Multiple | ✅ + Persistence
56 | Evidence Display | ❌ None | ✅ With sources | ✅ + Quality scoring
57 | Quality Gates | 🟡 4 simplified | ✅ 6 comprehensive | ✅ + ML validation
58 | Database | ❌ Stateless | ✅ PostgreSQL | ✅ + Redis + S3
59 | User Contributions | ❌ Read-only | ✅ Enabled | ✅ + Reputation
60
Robert Schaub 3.1 61 **