Wiki source code of POC Summary (POC1 & POC2)

Version 2.1 by Robert Schaub on 2025/12/23 18:49

version	line-number	content
2.1	1	= FactHarbor - Complete Analysis Summary
1.1	2	Consolidated Document - No Timelines
	3	Date: December 19, 2025
	4
2.1	5	---
1.1	6
2.1	7	== 1. POC Specification - DEFINITIVE
1.1	8
2.1	9	=== POC Goal
1.1	10	Prove that AI can extract claims and determine verdicts automatically without human intervention.
	11
2.1	12	=== POC Output (4 Components Only)
1.1	13
	14	1. ANALYSIS SUMMARY
	15	- 3-5 sentences
	16	- How many claims found
	17	- Distribution of verdicts
	18	- Overall assessment
	19
	20	2. CLAIMS IDENTIFICATION
	21	- 3-5 numbered factual claims
	22	- Extracted automatically by AI
	23
	24	3. CLAIMS VERDICTS
	25	- Per claim: Verdict label + Confidence % + Brief reasoning (1-3 sentences)
	26	- Verdict labels: WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED
	27
	28	4. ARTICLE SUMMARY (optional)
	29	- 3-5 sentences
	30	- Neutral summary of article content
	31
	32	Total output: ~200-300 words
	33
2.1	34	=== What's NOT in POC
1.1	35
	36	❌ Scenarios (multiple interpretations)
	37	❌ Evidence display (supporting/opposing lists)
	38	❌ Source links
	39	❌ Detailed reasoning chains
	40	❌ User accounts, history, search
	41	❌ Browser extensions, API
	42	❌ Accessibility, multilingual, mobile
	43	❌ Export, sharing features
	44	❌ Any other features
	45
2.1	46	=== Critical Requirement
1.1	47
	48	FULLY AUTOMATED - NO MANUAL EDITING
	49
	50	This is non-negotiable. POC tests whether AI can do this without human intervention.
	51
2.1	52	=== POC Success Criteria
1.1	53
	54	Passes if:
	55	- ✅ AI extracts 3-5 factual claims automatically
	56	- ✅ AI provides reasonable verdicts (≥70% make sense)
	57	- ✅ Output is comprehensible
	58	- ✅ Team agrees approach has merit
	59	- ✅ Minimal or no manual editing needed
	60
	61	Fails if:
	62	- ❌ Claim extraction poor (< 60% accuracy)
	63	- ❌ Verdicts nonsensical (< 60% reasonable)
	64	- ❌ Requires manual editing for most analyses (> 50%)
	65	- ❌ Team loses confidence in approach
	66
2.1	67	=== POC Architecture
1.1	68
	69	Frontend: Simple input form + results display
	70	Backend: Single API call to Claude (Sonnet 4.5)
	71	Processing: One prompt generates complete analysis
	72	Database: None required (stateless)
	73
2.1	74	=== POC Philosophy
1.1	75
	76	> "Build less, learn more, decide faster. Test the hardest part first."
	77
2.1	78	---
1.1	79
2.1	80	== 2. Gap Analysis - Strategic Framework
1.1	81
2.1	82	=== Framework Definition
1.1	83
	84	Importance = f(risk, impact, strategy)
	85	- Risk: What breaks if we don't have this?
	86	- Impact: How many users? How severe?
	87	- Strategy: Does it advance FactHarbor's mission?
	88
	89	Urgency = f(fail fast and learn, legal, promises made)
	90	- Fail fast: Do we need to test assumptions?
	91	- Legal: External requirements/deadlines?
	92	- Promises: Commitments to stakeholders?
	93
2.1	94	=== 18 Gaps Identified
1.1	95
	96	Category 1: Accessibility & Inclusivity
	97	1. WCAG 2.1 Compliance
	98	2. Multilingual Support
	99
	100	Category 2: Platform Integration
	101	3. Browser Extensions
	102	4. Embeddable Widgets
	103	5. ClaimReview Schema
	104
	105	Category 3: Media Verification
	106	6. Image/Video/Audio Verification
	107
	108	Category 4: Mobile & Offline
	109	7. Mobile Apps / PWA
	110	8. Offline Access
	111
	112	Category 5: Education & Media Literacy
	113	9. Educational Resources
	114	10. Media Literacy Integration
	115
	116	Category 6: Collaboration & Community
	117	11. Professional Collaboration Tools
	118	12. Community Discussion
	119
	120	Category 7: Export & Sharing
	121	13. Export Capabilities (PDF, CSV)
	122	14. Social Sharing Optimization
	123
	124	Category 8: Advanced Features
	125	15. User Analytics
	126	16. Personalization
	127	17. Media Archiving
	128	18. Advanced Search
	129
2.1	130	=== Importance/Urgency Analysis
1.1	131
	132	VERY HIGH Importance + HIGH Urgency:
	133	1. Accessibility (WCAG)
	134	- Risk: Legal liability, 15-20% users excluded
	135	- Urgency: European Accessibility Act (June 28, 2025)
	136	- Action: Must be built from start (retrofitting 100x more expensive)
	137
	138	2. Educational Resources
	139	- Risk: Platform fails if users can't understand
	140	- Urgency: Required for any adoption
	141	- Action: Basic onboarding essential
	142
	143	HIGH Importance + MEDIUM Urgency:
	144	3. Browser Extensions - Standard user expectation, test demand first
	145	4. Media Verification - Cannot address visual misinformation without it
	146	5. Multilingual - Global mission requires it, plan early
	147
	148	HIGH Importance + LOW Urgency:
	149	6. Mobile Apps - 90%+ users on mobile, but web-first viable
	150	7. ClaimReview Schema - SEO/discoverability, can add anytime
	151
2.1	152	---
1.1	153
2.1	154	== 1.7 POC Alignment with Full Specification
1.1	155
2.1	156	=== POC Intentional Simplifications
1.1	157
	158	POC1 tests core AI capability, not full architecture:
	159
	160	What POC Tests:
	161	- Can AI extract claims from articles?
	162	- Can AI evaluate claims with reasonable verdicts?
	163	- Is fully automated approach viable?
	164	- Is output comprehensible to users?
	165
	166	What POC Excludes (Intentionally):
	167	- ❌ Scenarios (deferred to POC2 - open architectural questions remain)
	168	- ❌ Evidence display (deferred to POC2)
	169	- ❌ Multi-component AKEL pipeline (simplified to single API call)
	170	- ❌ Quality gate infrastructure (simplified basic checks)
	171	- ❌ Production data model (stateless POC)
	172	- ❌ Review workflow system (no review queue)
	173
	174	Why Simplified:
	175	- Fail fast: Test hardest part first (AI capability)
	176	- Learn before building: POC1 informs architecture decisions
	177	- Iterative: Add complexity based on POC1 learnings
	178	- Risk management: Prove concept before major investment
	179
2.1	180	=== Full System Architecture (Future)
1.1	181
	182	Workflow:
	183	{{code}}
	184	Claims → Scenarios → Evidence → Verdicts
	185	{{/code}}
	186
	187	AKEL Components:
	188	- Orchestrator
	189	- Claim Extractor & Classifier
	190	- Scenario Generator
	191	- Evidence Summarizer
	192	- Contradiction Detector
	193	- Quality Gate Validator
	194	- Audit Sampling Scheduler
	195
	196	Publication Modes:
	197	- Mode 1: Draft-Only
	198	- Mode 2: AI-Generated (POC uses this)
	199	- Mode 3: AKEL-Generated (Human-Reviewed)
	200
2.1	201	=== POC vs. Full System Summary
1.1	202
	203	\|=Aspect\|=POC1\|=Full System
	204	\|Scenarios\|None (deferred to POC2)\|Core component with versioning
	205	\|Workflow\|3 steps (input/process/output)\|6 phases with quality gates
	206	\|AKEL\|Single API call\|Multi-component orchestrated pipeline
	207	\|Data\|Stateless (no DB)\|PostgreSQL + Redis + S3
	208	\|Publication\|Mode 2 only\|Modes 1/2/3 with risk-based routing
	209	\|Quality Gates\|4 simplified checks\|Full validation infrastructure
	210
2.1	211	=== Gap Between POC and Beta
1.1	212
	213	Significant architectural expansion needed:
	214	1. Scenario generation component design and implementation
	215	2. Evidence Model full structure
	216	3. Multi-phase workflow with gates
	217	4. Component-based AKEL architecture
	218	5. Production data model and storage
	219	6. Review workflow and audit systems
	220
	221	POC proves concept. Beta builds product.
	222
	223
	224	MEDIUM Importance + LOW Urgency:
	225	8-14. All other features - valuable but not urgent
	226
	227	Strategic Decisions Needed:
	228	- Community discussion: Allow or stay evidence-focused?
	229	- Personalization: How much without filter bubbles?
	230	- Media verification: Partner with existing tools or build?
	231
2.1	232	=== Key Insight: Milestones Change Priorities
1.1	233
	234	POC: Only educational resources urgent (basic explainer)
	235	Beta: Accessibility becomes urgent (test with diverse users)
	236	Release: Legal requirements become critical (WCAG, GDPR)
	237
	238	Importance/urgency are contextual, not absolute.
	239
2.1	240	---
1.1	241
2.1	242	== 3. Key Strategic Recommendations
1.1	243
2.1	244	=== Immediate Actions
1.1	245
	246	For POC:
	247	1. Focus on core functionality only (claims + verdicts)
	248	2. Create basic explainer (1 page)
	249	3. Test AI quality without manual editing
	250	4. Make GO/NO-GO decision
	251
	252	Planning:
	253	1. Define accessibility strategy (when to build)
	254	2. Decide on multilingual priorities (which languages first)
	255	3. Research media verification options (partner vs build)
	256	4. Evaluate browser extension approach
	257
2.1	258	=== Testing Strategy
1.1	259
	260	POC Tests: Can AI do this without humans?
	261	Beta Tests: What do users need? What works? What doesn't?
	262	Release Tests: Is it production-ready?
	263
	264	Key Principle: Test assumptions before building features.
	265
2.1	266	=== Build Sequence (Priority Order)
1.1	267
	268	Must Build:
	269	1. Core analysis (claims + verdicts) ← POC
	270	2. Educational resources (basic → comprehensive)
	271	3. Accessibility (WCAG 2.1 AA) ← Legal requirement
	272
	273	Should Build (Validate First):
	274	4. Browser extensions ← Test demand
	275	5. Media verification ← Pilot with existing tools
	276	6. Multilingual ← Start with 2-3 languages
	277
	278	Can Build Later:
	279	7. Mobile apps ← PWA first
	280	8. ClaimReview schema ← After content library
	281	9. Export features ← Based on user requests
	282	10. Everything else ← Based on validation
	283
2.1	284	=== Decision Framework
1.1	285
	286	For each feature, ask:
	287	1. Importance: Risk + Impact + Strategy alignment?
	288	2. Urgency: Fail fast + Legal + Promises?
	289	3. Validation: Do we know users want this?
2.1	290	4. Priority: When should we build it?
1.1	291
	292	Don't build anything without answering these questions.
	293
2.1	294	---
1.1	295
2.1	296	== 4. Critical Principles
1.1	297
2.1	298	=== Automation First
1.1	299	- AI makes content decisions
	300	- Humans improve algorithms
	301	- Scale through code, not people
	302
2.1	303	=== Fail Fast
1.1	304	- Test assumptions quickly
	305	- Don't build unvalidated features
	306	- Accept that experiments may fail
	307	- Learn from failures
	308
2.1	309	=== Evidence Over Authority
1.1	310	- Transparent reasoning visible
	311	- No single "true/false" verdicts
	312	- Multiple scenarios shown
	313	- Assumptions made explicit
	314
2.1	315	=== User Focus
1.1	316	- Serve users' needs first
	317	- Build what's actually useful
	318	- Don't build what's just "cool"
	319	- Measure and iterate
	320
2.1	321	=== Honest Assessment
1.1	322	- Don't cherry-pick examples
	323	- Document failures openly
	324	- Accept limitations
	325	- No overpromising
	326
2.1	327	---
1.1	328
2.1	329	== 5. POC Decision Gate
1.1	330
2.1	331	=== After POC, Choose:
1.1	332
	333	GO (Proceed to Beta):
	334	- AI quality ≥70% without editing
	335	- Approach validated
	336	- Team confident
	337	- Clear path to improvement
	338
	339	NO-GO (Pivot or Stop):
	340	- AI quality < 60%
	341	- Requires manual editing for most
	342	- Fundamental flaws identified
	343	- Not feasible with current technology
	344
	345	ITERATE (Improve & Retry):
	346	- Concept has merit
	347	- Specific improvements identified
	348	- Addressable with better prompts
	349	- Test again after changes
	350
2.1	351	---
1.1	352
2.1	353	== 6. Key Risks & Mitigations
1.1	354
2.1	355	=== Risk 1: AI Quality Not Good Enough
1.1	356	Mitigation: Extensive prompt testing, use best models
	357	Acceptance: POC might fail - that's what testing reveals
	358
2.1	359	=== Risk 2: Users Don't Understand Output
1.1	360	Mitigation: Create clear explainer, test with real users
	361	Acceptance: Iterate on explanation until comprehensible
	362
2.1	363	=== Risk 3: Approach Doesn't Scale
1.1	364	Mitigation: Start simple, add complexity only when proven
	365	Acceptance: POC proves concept, beta proves scale
	366
2.1	367	=== Risk 4: Legal/Compliance Issues
1.1	368	Mitigation: Plan accessibility early, consult legal experts
	369	Acceptance: Can't launch publicly without compliance
	370
2.1	371	=== Risk 5: Feature Creep
1.1	372	Mitigation: Strict scope discipline, say NO to additions
	373	Acceptance: POC is minimal by design
	374
2.1	375	---
1.1	376
2.1	377	== 7. Success Metrics
1.1	378
2.1	379	=== POC Success
1.1	380	- AI output quality ≥70%
	381	- Manual editing needed < 30% of time
	382	- Team confidence: High
	383	- Decision: GO to beta
	384
2.1	385	=== Platform Success (Later)
1.1	386	- User comprehension ≥80%
	387	- Return user rate ≥30%
	388	- Flag rate (user corrections) < 10%
	389	- Processing time < 30 seconds
	390	- Error rate < 1%
	391
2.1	392	=== Mission Success (Long-term)
1.1	393	- Users make better-informed decisions
	394	- Misinformation spread reduced
	395	- Public discourse improves
	396	- Trust in evidence increases
	397
2.1	398	---
1.1	399
2.1	400	== 8. What Makes FactHarbor Different
1.1	401
2.1	402	=== Not Traditional Fact-Checking
1.1	403	- ❌ No simple "true/false" verdicts
	404	- ✅ Multiple scenarios with context
	405	- ✅ Transparent reasoning chains
	406	- ✅ Explicit assumptions shown
	407
2.1	408	=== Not AI Chatbot
1.1	409	- ❌ Not conversational
	410	- ✅ Structured Evidence Models
	411	- ✅ Reproducible analysis
	412	- ✅ Verifiable sources
	413
2.1	414	=== Not Just Automation
1.1	415	- ❌ Not replacing human judgment
	416	- ✅ Augmenting human reasoning
	417	- ✅ Making process transparent
	418	- ✅ Enabling informed decisions
	419
2.1	420	---
1.1	421
2.1	422	== 9. Core Philosophy
1.1	423
	424	Three Pillars:
	425
	426	1. Scenarios Over Verdicts
	427	- Show multiple interpretations
	428	- Make context explicit
	429	- Acknowledge uncertainty
	430	- Avoid false certainty
	431
	432	2. Transparency Over Authority
	433	- Show reasoning, not just conclusions
	434	- Make assumptions explicit
	435	- Link to evidence
	436	- Enable verification
	437
	438	3. Evidence Over Opinions
	439	- Ground claims in sources
	440	- Show supporting AND opposing evidence
	441	- Evaluate source quality
	442	- Avoid cherry-picking
	443
2.1	444	---
1.1	445
2.1	446	== 10. Next Actions
1.1	447
2.1	448	=== Immediate
1.1	449	□ Review this consolidated summary
	450	□ Confirm POC scope agreement
	451	□ Make strategic decisions on key questions
	452	□ Begin POC development
	453
2.1	454	=== Strategic Planning
1.1	455	□ Define accessibility approach
	456	□ Select initial languages for multilingual
	457	□ Research media verification partners
	458	□ Evaluate browser extension frameworks
	459
2.1	460	=== Continuous
1.1	461	□ Test assumptions before building
	462	□ Measure everything
	463	□ Learn from failures
	464	□ Stay focused on mission
	465
2.1	466	---
1.1	467
2.1	468	== Summary of Summaries
1.1	469
	470	POC Goal: Prove AI can do this automatically
	471	POC Scope: 4 simple components, ~200-300 words
	472	POC Critical: Fully automated, no manual editing
	473	POC Success: ≥70% quality without human correction
	474
	475	Gap Analysis: 18 gaps identified, 2 critical (Accessibility + Education)
	476	Framework: Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises)
	477	Key Insight: Context matters - urgency changes with milestones
	478
	479	Strategy: Test first, build second. Fail fast. Stay focused.
	480	Philosophy: Scenarios, transparency, evidence. No false certainty.
	481
2.1	482	---
1.1	483
2.1	484	== Document Status
1.1	485
	486	This document supersedes all previous analysis documents.
	487
	488	All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references.
	489
	490	For detailed specifications, refer to:
	491	- User Needs document (in project knowledge)
	492	- Requirements document (in project knowledge)
	493	- This summary (comprehensive overview)
	494
	495	Previous documents are archived for reference but this is the authoritative summary.
	496
2.1	497	---
1.1	498
	499	End of Consolidated Summary
	500

Wiki source code of POC Summary (POC1 & POC2)

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