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

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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