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183 lines
13 KiB
Markdown
183 lines
13 KiB
Markdown
# IBM watsonx Assistant: Guardrails and Fix Patterns
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Chatbots & CX**.
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> To reorient, go back here:
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>
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> - [**Chatbots & CX** — customer dialogue flows and conversational stability](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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Use this page to stabilize **watsonx Assistant** projects that combine Actions, Search, webhooks, function calls, and LLM answers. The checks map to WFGY Problem Map pages with measurable targets, so you can verify without changing infra.
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## Open these first
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* Visual map and recovery: [rag-architecture-and-recovery.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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* Retrieval knobs end to end: [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Why this snippet and where it came from: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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* Ordering control and rank: [rerankers.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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* Embedding vs meaning: [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* Chunk boundaries and hallucination: [hallucination.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
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* Long dialogs, chain length, entropy: [context-drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [entropy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
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* Prompt injection and schema locks: [prompt-injection.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md)
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* Multi-agent and handoff conflicts: [Multi-Agent\_Problems.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md)
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* Snippet and citation schema: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* Boot order and deploy traps: [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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## Core acceptance
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* ΔS(question, retrieved) ≤ 0.45
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* Coverage to the target section ≥ 0.70
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* λ remains convergent across three paraphrases and two seeds
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* E\_resonance flat across long dialog windows
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---
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## Fix in 60 seconds
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1. **Measure ΔS**
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Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
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Thresholds: stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
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2. **Probe λ\_observe**
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Vary k in retrieval and reorder prompt headers.
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If λ flips on harmless paraphrases, lock the schema and clamp variance with BBAM.
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3. **Apply module**
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* Retrieval drift → BBMC + [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* Reasoning collapse in long flows → BBCR bridge + BBAM, verify with [context-drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md)
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* Dead ends in multi step plans → BBPF alternate paths
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4. **Verify**
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Three paraphrases hit coverage ≥ 0.70 and ΔS ≤ 0.45.
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λ stays convergent across two seeds.
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---
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## Typical watsonx Assistant symptoms → exact fix
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| Symptom | Likely cause | Open this |
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| ------------------------------------------------------------- | ------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Action resolves intent but the answer cites the wrong section | metric mismatch or fragmented store behind Search | [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md), [patterns/pattern\_vectorstore\_fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md) |
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| Action variables mutate across turns or reprompts | schema too loose, missing cite-then-explain boundary | [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md), [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) |
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| Webhook returns 200 yet dialog state degrades | JSON tool protocol variance, free text in arguments | [prompt-injection.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md), [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
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| Search similarity high but meaning wrong | chunking and anchor mismatch | [hallucination.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md), [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md) |
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| Long conversations become inconsistent after 20–40 turns | entropy rises with chain length | [context-drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [entropy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md) |
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| LLM safety refusal hides the cited snippet | missing citation first and SCU unlock | [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md), [patterns/pattern\_symbolic\_constraint\_unlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md) |
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| Handoff to human or external queue loops | deployment deadlock or version skew | [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) |
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| Multilingual queries break retrieval parity | analyzer and casing drift between Search and embeddings | [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md), [rerankers.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) |
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---
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## CX surface guardrails
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**Actions**
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Keep policy text in a dedicated system context. Do not mix policy with user turns. Enforce cite-then-explain for any Action that answers. Lock input and output fields with contracts. See [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
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**Search**
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Require the snippet schema: `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`. If ΔS stays ≥ 0.60 after reranking, rebuild chunks and verify with a small gold set. See [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md), [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md).
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**Webhooks**
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Echo the tool schema at every turn. Log `ΔS`, `λ_state`, `INDEX_HASH`, `snippet_id`. If flip states appear, clamp with BBAM. See [prompt-injection.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md).
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**Live ops**
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Fence first call after deploy and add backoff guards. See [ops/live\_monitoring\_rag.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/live_monitoring_rag.md), [ops/debug\_playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/debug_playbook.md).
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---
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## Minimal webhook recipe
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1. **Warm-up fence**
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Check `VECTOR_READY`, `INDEX_HASH`, secrets. If not ready, short-circuit with a delay and capped retries.
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See [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md).
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2. **Retrieval step**
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Call the retriever with explicit metric and consistent analyzer. Return `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`.
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3. **ΔS probe**
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Compute ΔS(question, retrieved). If ΔS ≥ 0.60 set `needs_fix=true`.
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4. **Answer step**
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LLM reads TXT OS and the WFGY schema. Enforce cite-then-explain with the retrieved snippet set.
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5. **Trace sink**
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Store `question`, `ΔS`, `λ_state`, `INDEX_HASH`, `snippet_id`, `dedupe_key`.
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---
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## Copy-paste prompt for the webhook LLM step
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```
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You have TXT OS and the WFGY Problem Map loaded.
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My watsonx Assistant context:
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- action: {action_name}
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- variables: {name: value, ...}
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- retrieved: {k} snippets with fields {snippet_id, section_id, source_url, offsets}
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User question: "{user_question}"
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Do:
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1) Enforce cite-then-explain. If citations are missing or cross-section, fail fast and return the smallest structural fix.
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2) If ΔS(question, retrieved) ≥ 0.60, propose the minimal repair, referencing:
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retrieval-playbook, retrieval-traceability, data-contracts, rerankers.
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3) Return JSON:
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{ "answer": "...", "citations": [...], "λ_state": "→|←|<>|×", "ΔS": 0.xx, "next_fix": "..." }
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Keep it short and auditable.
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```
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---
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## Test checklist before launch
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* Three paraphrases hit coverage ≥ 0.70 on the same target section.
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* ΔS(question, retrieved) ≤ 0.45 for each.
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* λ convergent across two seeds.
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* First-call path after deploy passes the warm-up fence.
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* Live probes alert when ΔS ≥ 0.60 or λ flips.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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要我繼續下一頁嗎？建議順序接 **intercom.md**。
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