🧭 Quick Return to Map
You are in a sub-page of Automation Platforms.
To reorient, go back here:
- Automation Platforms — stabilize no-code workflows and integrations
- 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 desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.
A compact field guide to stabilize Make.com scenarios that touch RAG, agents, or long pipelines. Use the checks below to localize failure, then jump to the exact WFGY fix page.
- Visual map and recovery: RAG Architecture & Recovery
- End-to-end retrieval knobs: Retrieval Playbook
- Why this snippet (traceability schema): Retrieval Traceability
- Ordering control: Rerankers
- Embedding vs meaning: Embedding ≠ Semantic
- Hallucination and chunk boundaries: Hallucination
- Long chains and entropy: Context Drift, Entropy Collapse
- Snippet and citation schema: Data Contracts
- Structural collapse and recovery: Logic Collapse
-
Measure ΔS
- Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
- Thresholds: stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
-
Probe with λ_observe
- Vary k ∈ {5, 10, 20}. Flat high curve → index or metric mismatch.
- Reorder prompt headers. If ΔS spikes, lock the schema.
-
Apply the module
- Retrieval drift → BBMC + Data Contracts.
- Reasoning collapse → BBCR bridge + BBAM variance clamp.
- Dead ends in long runs → BBPF alternate path.
-
Re-test
- Aim for ΔS ≤ 0.45, λ convergent on 3 paraphrases, coverage ≥ 0.70.
Copy-paste prompt
I uploaded TXT OS and the WFGY Problem Map files.
My Make.com bug:
* symptom: \[brief]
* traces: \[ΔS(question,retrieved)=…, ΔS(retrieved,anchor)=…, λ states]
Tell me:
1. which layer is failing and why,
2. which exact fix page to open from this repo,
3. minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4. how to verify the fix with a reproducible test.
Use BBMC/BBPF/BBCR/BBAM when relevant.
-
Array aggregator or iterator changes chunk boundaries.
Symptoms: citations miss, answers plausible but wrong.
Open: Hallucination, Data Contracts. -
Hybrid retrieval through HTTP modules splits query tokens.
HyDE or BM25 combined with dense retriever behaves worse than single retriever.
Open: Query Parsing Split, Retrieval Playbook. -
Vectorstore writes use different normalization than reads.
Cosine vs inner product inconsistency or missing unit norm.
Open: Embedding ≠ Semantic, Retrieval Traceability. -
Scenario concurrency creates state races across branches.
Old facts re-appear after correction.
Open: Hallucination Re-entry, apply BBCR + BBAM and lock schema with Data Contracts. -
Long JSON logs stuffed into prompts.
Attention melts, capitalization drifts, topic smear.
Open: Entropy Collapse, Context Drift. -
Partial ingestion before tools fire.
First call after a deploy or schedule fires too early.
Open: Bootstrap Ordering, Pre-Deploy Collapse, Pattern: Bootstrap Deadlock. -
Fragmented vectorstore across modules.
Some facts indexed but never retrieved.
Open: Vectorstore Fragmentation. -
Session flips across tabs or scenario runs.
Writes happen under a different memory revision.
Open: Memory Desync.
- Coverage to target section ≥ 0.70.
- ΔS(question, retrieved) ≤ 0.45 on three paraphrases.
- λ remains convergent across runs and seeds.
- E_resonance flat on long windows after BBAM.
- ΔS stays ≥ 0.60 after retriever and schema fixes → rebuild index with explicit metric and persist once.
- λ flips divergent as soon as you mix two sources → lock per-source fences in Data Contracts.
- First task after schedule or deploy keeps failing → apply the boot fence in Bootstrap Ordering and verify with ops live monitoring.
| Tool | Link | 3-Step Setup |
|---|---|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ” |
| TXT OS (plain-text OS) | TXTOS.txt | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
| Layer | Page | What it’s for |
|---|---|---|
| ⭐ Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | WFGY 1.0 | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | WFGY 2.0 | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | WFGY 3.0 | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | Problem Map 1.0 | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | Problem Map 2.0 | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | Problem Map 3.0 | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | TXT OS | .txt semantic OS with fast bootstrap |
| 🧰 App | Blah Blah Blah | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | Blur Blur Blur | Text to image generation with semantic control |
| 🏡 Onboarding | Starter Village | Guided entry point for new users |
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