WFGY/ProblemMap/GlobalFixMap/Chatbots_CX

Chatbots & CX — Global Fix Map

🏥 Quick Return to Emergency Room

You are in a specialist desk.
For full triage and doctors on duty, return here:

• WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
• WFGY Problem Map 1.0 — 16 reproducible failure modes

Think of this page as a sub-room.
If you want full consultation and prescriptions, go back to the Emergency Room lobby.

Chatbot and CX bugs are structural failures in dialog systems, where intent routing, slot/entity state, conversation memory, connector metadata, or knowledge retrieval breaks even when the underlying LLM is fine.

Most incidents come from environment drift, schema mismatches, cold-start latency, connector desync, and weak policy fences. This folder maps symptoms to vendor pages and WFGY structural fixes with measurable acceptance targets.

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When to use this folder

• Bot flows break across environments (dev vs prod vs staging).
• Slot filling, entities, or context reset unexpectedly.
• Latency or cold starts cause dropped conversations.
• Omnichannel connectors desync with the core bot.
• Prompts bypass policies or hallucinate unsafe outputs.
• Regression after migration to a new vendor framework.

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Acceptance targets

• Intent recognition F1 ≥ 0.85 across test set.
• ΔS(user_query, retrieved) ≤ 0.45 for all routes.
• Coverage of knowledge base ≥ 0.70 after repair.
• λ remains convergent across 3 paraphrases and 2 seeds.
• p95 latency ≤ 800 ms across channels, warm path.
• Zero PII leakage in logs or vector payloads.

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Quick routes — per chatbot vendor

Vendor / Platform	Fix Page
Amazon Lex	amazon_lex.md
Azure Bot Service	azure_bot_service.md
Dialogflow CX	dialogflow_cx.md
Freshchat	freshchat.md
Freshdesk	freshdesk.md
Intercom	intercom.md
Microsoft Copilot Studio	microsoft_copilot_studio.md
Rasa	rasa.md
Salesforce Einstein Bots	salesforce_einstein_bots.md
Twilio Studio	twilio_studio.md
Watsonx Assistant	watsonx_assistant.md
Zendesk	zendesk.md

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Symptom → exact fix

Symptom	Likely cause	Open this
Slot filling fails randomly	Missing entity fallback, context reset	dialogflow_cx.md · rasa.md
Bot replies too slowly	Cold starts, webhook bottlenecks	amazon_lex.md · azure_bot_service.md
Knowledge base answers drift	Retrieval misaligned with store	watsonx_assistant.md · retrieval-traceability.md
Omnichannel flow desync	Connectors drop metadata	intercom.md · zendesk.md
Unsafe or off-policy replies	No policy fences or prompt injection	microsoft_copilot_studio.md · prompt-injection.md
Migration broke production	Schema mismatch, missing idempotency	serverless_ci_cd.md · env_bootstrap_and_migrations.md
Conversation history disappears	Stateless KV pattern missing	stateless_kv_queue_patterns.md

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Fix in 60 seconds

1. Verify intents — run eval with test utterances, check F1 ≥ 0.85.
2. Check state — ensure KV queue or context store persists between turns.
3. Fence prompts — load prompt_injection.md.
4. Measure latency — split warm vs cold path; provision concurrency if needed.
5. Cross-channel sync — confirm connectors carry metadata (role, region, tenant).

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Copy-paste prompt for chatbot incidents

You have TXT OS and the WFGY Problem Map loaded.

My chatbot incident:
- platform: [Dialogflow|Rasa|Intercom|etc.]
- symptom: [short description]
- eval: { F1, ΔS, coverage, λ states }
- infra: { cold_ms, warm_ms, concurrency, connectors }
- compliance: { pii_found: true|false, policy_eval }

Tell me:
1) which layer is failing and why,
2) the exact WFGY page to open,
3) the minimal steps to restore accuracy and latency,
4) a quick regression test to prevent repeat.

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FAQ

Q: My bot answers correctly in dev but fails in production. Why? A: Likely env mismatch — analyzers, slots, or schema drift between environments. Check serverless_ci_cd.md.

Q: How do I stop hallucinations in Copilot Studio or Dialogflow? A: Enforce policy fences and cite-then-explain. See prompt_injection.md.

Q: Why is latency so different on first vs second request? A: Cold starts. See cold_start_concurrency.md.

Q: How can I ensure PII never leaks through connectors? A: Attach privacy_and_pii_edges.md and enforce payload contracts.

Q: Do I need to change my vendor to apply WFGY fixes? A: No. WFGY guardrails are store-agnostic and vendor-agnostic. You patch structure, not infra.

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🔗 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

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Explore More

Layer	Page	What it’s for
Proof	WFGY Recognition Map	External citations, integrations, and ecosystem proof
Engine	WFGY 1.0	Original PDF based tension engine
Engine	WFGY 2.0	Production tension kernel and math engine for RAG and agents
Engine	WFGY 3.0	TXT based Singularity tension engine, 131 S class set
Map	Problem Map 1.0	Flagship 16 problem RAG failure checklist and fix map
Map	Problem Map 2.0	RAG focused recovery pipeline
Map	Problem Map 3.0	Global Debug Card, image as a debug protocol layer
Map	Semantic Clinic	Symptom to family to exact fix
Map	Grandma’s Clinic	Plain language stories mapped to Problem Map 1.0
Onboarding	Starter Village	Guided tour for newcomers
App	TXT OS	TXT semantic OS, fast boot
App	Blah Blah Blah	Abstract and paradox Q and A built on TXT OS
App	Blur Blur Blur	Text to image with semantic control
App	Blow Blow Blow	Reasoning game engine and memory demo

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