# Make.com Guardrails and Patterns Use this page when your RAG or agent workflow runs on **Make.com**. It maps typical automation failures to the exact structural fixes in the WFGY Problem Map and gives a minimal recipe you can paste into a scenario. **Acceptance targets** - ΔS(question, retrieved) ≤ 0.45 - coverage ≥ 0.70 for the target section - λ stays convergent across 3 paraphrases --- ## Typical breakpoints and the right fix - Modules fire before dependencies are ready (Webhook → Tools → RAG too early) Fix No.14: **Bootstrap Ordering** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) - First production call after deploy crashes, wrong secret selected in Connections Fix No.16: **Pre-Deploy Collapse** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) - Router/Iterator loops create circular waits or partial writes Fix No.15: **Deployment Deadlock** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md) - High cosine similarity but answers are semantically wrong Fix No.5: **Embedding ≠ Semantic** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) - Snippet is wrong or citations do not line up with the source Fix No.8: **Retrieval Traceability** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) Contract the payload: **Data Contracts** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) - Hybrid retrieval (HyDE + BM25 service) performs worse than single retriever Pattern: **Query Parsing Split** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md) Also review: **Rerankers** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) - Some indexed facts never appear in results Pattern: **Vectorstore Fragmentation** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md) - Two sources are merged into one answer in long chains Pattern: **Symbolic Constraint Unlock (SCU)** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md) --- ## Minimal scenario checklist 1) **Warm-up fence before RAG/LLM modules** Validate `VECTOR_READY`, `INDEX_HASH` match, and required secrets exist. If not ready, short-circuit to **Sleep** then retry with a capped counter. Spec: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) 2) **Idempotency and dedupe** Compute `dedupe_key = sha256(source_id + revision + index_hash)` in a **Tools > Code** module. Check a KV (Airtable / Notion / Make Data Store) before side effects. Skip duplicates. 3) **RAG boundary contract** Require fields: `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`. Enforce cite-then-explain at the LLM step. Specs: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) · [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) 4) **Observability probes** Log ΔS(question, retrieved) and λ per stage (retrieve, assemble, reason). Alert when ΔS ≥ 0.60 or λ flips divergent. Overview: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) 5) **Router/Iterator safety** Use a **single writer** branch for index updates and external writes. Apply queue mode or mutex; avoid parallel writes to the same index. See: [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md) 6) **Regression gate** Before publish, require coverage ≥ 0.70 and ΔS ≤ 0.45. Eval: [RAG Precision/Recall](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval/eval_rag_precision_recall.md) --- ## Scenario pattern (copy) > Replace the concrete modules with your stack. Keep the guardrails. 1. **Webhook/Trigger** Capture `source_id`, `revision`, `wf_rev`. 2. **Warm-up Check (Tools > Code)** Pull `INDEX_HASH`, `VECTOR_READY`, and secrets. If not ready → set `ready=false`. 3. **Router** - **Not ready** → **Sleep 30–90s**, increment `retry`, stop after N attempts. - **Ready** → continue. 4. **Retriever (HTTP or App)** - Fix metric and normalization; use the same analyzer as the writer. - Output `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`. 5. **ΔS Probe (Tools > Code)** - Compute ΔS(question, retrieved). If ΔS ≥ 0.60 → tag `needs_fix=true`. 6. **LLM (OpenAI/Claude/Gemini module)** - Load TXT OS; enforce cite-then-explain; return `{ΔS, λ_state, citations, answer}`. 7. **Trace Sink (Data Store / Airtable)** - Write `question`, `snippet_id`, `ΔS`, `λ_state`, `INDEX_HASH`, `dedupe_key`. 8. **Idempotent Writer** - Check `dedupe_key` before any external publish or email. --- ## LLM prompt you can paste ``` I uploaded TXT OS and the WFGY Problem Map files. This Make.com scenario retrieved {k} snippets with fields {snippet\_id, section\_id, source\_url, offsets}. Question: "{user\_question}" Do: 1. Enforce cite-then-explain. If citations are missing, fail fast and return the fix page to open. 2. If ΔS(question, retrieved) ≥ 0.60, propose the minimal structural fix referencing: retrieval-playbook, retrieval-traceability, data-contracts, rerankers. 3. Output compact JSON: { "citations": \[...], "answer": "...", "λ\_state": "→|←|<>|×", "ΔS": 0.xx, "next\_fix": "..." } ``` --- ## Common Make.com gotchas - **Connections** silently switch between prod and staging Stamp `env`, `INDEX_HASH`, and `secret_rev` into traces; block on mismatch. - **Array Aggregator / Iterator** duplicates writes Route all writes through a **single writer** with idempotency. - **Rate-limits** make hybrid queries diverge Prefer reranking with a stable dense retriever; see [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) - **Template mapping** renames fields and breaks the contract Lock schema and run a pre-LLM schema check. --- ## When to escalate - ΔS stays ≥ 0.60 after chunk/retrieval fixes Rebuild the index with explicit metric/normalization. See: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) - Same input alternates answers between runs Investigate version skew and memory desync. See: [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.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 + \” | | **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) | --- > 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — > 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](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)   [![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)   [![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)   [![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)   [![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)   [![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)   [![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)  
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