IFTTT — Guardrails and Fix Patterns

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 ·
Retrieval Playbook
High vector similarity but wrong meaning
Fix No.5: Embedding ≠ Semantic →
Embedding ≠ Semantic
Indexed facts exist (Drive/Sheets/DB) yet never appear in top-k
Pattern: Vectorstore Fragmentation →
Vectorstore Fragmentation
Can’t show “why this snippet?” from applet logs
Fix No.8: Retrieval Traceability + snippet/citation schema →
Retrieval Traceability ·
Data Contracts
Long chains across multiple applets drift in tone or logic
Fix No.3/No.9: Context Drift and Entropy Collapse →
Context Drift ·
Entropy Collapse
Works in dry runs, fails on schedule or from mobile triggers
Infra family: Pre-Deploy / Bootstrap / Deadlock →
Pre-Deploy Collapse ·
Bootstrap Ordering ·
Deployment Deadlock
Model answers confidently with wrong claims
Fix No.4: Bluffing / Overconfidence →
Bluffing

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.

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 · Retrieval Playbook · Retrieval Traceability · Data Contracts

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
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
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
Ordering hazards when multiple applets race. Add an explicit rerank step after per-source ΔS ≤ 0.50, then lock order. See Rerankers
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
Answers flip between device-triggered and server-triggered runs → verify version skew, secret scope, and boot ordering. Bootstrap Ordering · Deployment Deadlock


---

### 🔗 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 |

---

### 🧭 Explore More

| Module                | Description                                              | Link     |
|-----------------------|----------------------------------------------------------|----------|
| WFGY Core             | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
| Problem Map 1.0       | Initial 16-mode diagnostic and symbolic fix framework    | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
| Problem Map 2.0       | RAG-focused failure tree, modular fixes, and pipelines   | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
| Semantic Blueprint    | Layer-based symbolic reasoning & semantic modulations   | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
| Benchmark vs GPT-5    | Stress test GPT-5 with full WFGY reasoning suite         | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
| 🧙‍♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |

---

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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.

<div align="center">

[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)
&nbsp;
[![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)
&nbsp;
[![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
&nbsp;
[![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
&nbsp;
[![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
&nbsp;
[![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
&nbsp;
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&nbsp;
</div>

9.3 KiB Raw Blame History Unescape Escape

IFTTT — Guardrails and Fix Patterns

Typical breakpoints → exact fixes

Minimal IFTTT pattern with WFGY checks

IFTTT-specific gotchas

When to escalate

9.3 KiB

Raw Blame History