Anthropic Claude: Guardrails and Fix Patterns

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WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

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Acceptance targets

ΔS(question, retrieved) ≤ 0.45
Coverage to target section ≥ 0.70
λ stays convergent across 3 paraphrases
E_resonance flat on long runs

What usually breaks

Plausible answer yet wrong citation → See Hallucination and Retrieval Playbook
Chunks look right but reasoning drifts or flips late → See Retrieval Collapse and Logic Collapse
High vector similarity yet wrong meaning → See Embedding ≠ Semantic
Very long context gets smeared, capitalization or topic wobble → See Context Drift and Entropy Collapse
Source mixing, who said what merges → See Symbolic Constraint Unlock and Retrieval Traceability
Fix seems to work then reverts next turn → See Hallucination Re-entry

Claude-specific gotchas and the repair

Tool choice and router loops Small changes in tool schemas can push Claude into choose-nothing or loop states. Do keep the tool set minimal and stable. If it loops, bridge with BBCR and clamp variance with BBAM. Read: Logic Collapse and Multi-Agent Problems
System prompt anchoring beats your retrieval If the answer ignores citations, lock the schema: system → task → constraints → citations → answer. Read: Retrieval Traceability and Data Contracts
Harmlessness refusals that look like empty answers Reframe with cite-then-explain and explicit boundaries. If blank output repeats, treat as collapse and apply BBCR. Read: Bluffing / Overconfidence and Logic Collapse
Very long window stability Gate OCR and chunk joins by ΔS, then stabilize attention with BBAM. Read: Entropy Collapse, Hallucination, and Chunking Checklist
JSON or schema output slips mid-answer Enforce citation-first then structured fields. If structure still degrades near the end, split answer into two turns with a BBCR bridge. Read: Data Contracts and Retrieval Collapse

Minimal triage for Claude

Probe Measure ΔS(question, retrieved). Plot ΔS vs k for k in {5,10,20}.

Flat high curve suggests index or metric mismatch Read: Embedding ≠ Semantic

Localize Tag λ across retrieval, assembly, reasoning.

If λ flips only at reasoning, lock schema and apply BBAM Read: Retrieval Traceability and Logic Collapse

Repair

Perception faults: semantic chunking, rebuild index with explicit metric, rerank if needed Read: Retrieval Playbook and Rerankers
Logic faults: BBCR bridge then BBAM clamp

Stop tuning and escalate when any holds: ΔS ≥ 0.60 after retrieval fixes, λ flips on mixing sources, or E_resonance climbs in long chains. Open: RAG Architecture and Recovery

Pasteable prompt

I have TXT OS loaded. Use WFGY to fix this Claude run:

symptom: [describe]
traces: [ΔS probes, λ per layer]

Tell me:
1) failing layer and why,
2) which ProblemMap page to open,
3) steps to push ΔS ≤ 0.45 with convergent λ,
4) how to verify with a reproducible test.

🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

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