# IFTTT — Guardrails and Fix Patterns

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Use this when your automation is built on **IFTTT** (Webhooks, Google Sheets, Gmail, Slack, Calendar). If flows “work” but answers are still wrong, citations are off, or behavior differs between applets and direct API tests, anchor your diagnosis here.

**Acceptance targets**
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 to the intended section or record
- λ stays convergent across 3 paraphrases

---

## Typical breakpoints → exact fixes

- Output sounds right but cites the wrong snippet or section  
  Fix No.1: **Hallucination & Chunk Drift** →  
  [Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md) ·  
  [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)

- High vector similarity but wrong meaning  
  Fix No.5: **Embedding ≠ Semantic** →  
  [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)

- Indexed facts exist (Drive/Sheets/DB) yet never appear in top-k  
  Pattern: **Vectorstore Fragmentation** →  
  [Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)

- Can’t show “why this snippet?” from applet logs  
  Fix No.8: **Retrieval Traceability** + snippet/citation schema →  
  [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·  
  [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)

- Long chains across multiple applets drift in tone or logic  
  Fix No.3/No.9: **Context Drift** and **Entropy Collapse** →  
  [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) ·  
  [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)

- Works in dry runs, fails on schedule or from mobile triggers  
  Infra family: **Pre-Deploy / Bootstrap / Deadlock** →  
  [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) ·  
  [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) ·  
  [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)

- Model answers confidently with wrong claims  
  Fix No.4: **Bluffing / Overconfidence** →  
  [Bluffing](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bluffing.md)

---

## Minimal IFTTT pattern with WFGY checks

A compact pattern that keeps **cite-first schema**, **observable retrieval**, and **ΔS/λ** validation even when steps are split across applets.

```txt
Applet A — Trigger (Webhooks)
- Input JSON: { question, k? }

Applet B — Retrieve (Webhooks → your retriever API)
- Returns: snippets[] = { snippet_id, text, source, section_id }
- Store: a short-lived record (e.g., in Google Sheets or your API, keyed by request_id)

Applet C — Assemble + Call LLM (Webhooks → your prompt API)
SYSTEM:
  Cite lines before any explanation. Keep per-source fences.
TASK:
  Answer only from the provided context. Return citations as [snippet_id].
CONTEXT:
  <joined snippets with snippet_id + source + text>
QUESTION:
  <user question>

Applet D — WFGY Post-check (Webhooks → wfgyCheck)
- Body: { question, context, answer }
- Returns: { deltaS, lambda, coverage, notes }

Applet E — Gate and Notify
IF deltaS ≥ 0.60 OR lambda != "→"
  → send failure payload with trace table (snippet_id↔citation), ask to retry after fix
ELSE
  → deliver { answer, citations[], deltaS, lambda, coverage } to user channel
````

Reference specs:
[RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) ·
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) ·
[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)

---

## IFTTT-specific gotchas

* **Sheets cell truncation** hides context length. Store only `snippet_id` and a short preview in Sheets, keep full text in your API or DB.
  See [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)

* **Hidden tokenization** when composing prompts in plain text fields. Always assemble prompts in your API layer to enforce the cite-first schema.
  See [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)

* **Environment mismatch** between mobile and server triggers. Bootstrap checks must verify secrets, version, and index availability before the first LLM call.
  See [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)

* **Ordering hazards** when multiple applets race. Add an explicit **rerank** step after per-source ΔS ≤ 0.50, then lock order.
  See [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)

* **Attachment loss** in cross-channel handoffs. Store attachment metadata and link by `request_id`, never inline large blobs into prompts.

---

## When to escalate

* ΔS stays ≥ 0.60 after chunking and retrieval adjustments → rebuild index with explicit metric flags and unit normalization.
  [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)

* Answers flip between device-triggered and server-triggered runs → verify version skew, secret scope, and boot ordering.
  [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) ·
  [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)

```

---

### 🔗 Quick-Start Downloads (60 sec)

| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **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>” |
| **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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### Explore More

| Layer | Page | What it’s for |
| --- | --- | --- |
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |

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