Most RAG stacks don’t collapse because of a wrong chunk—they fail because no one can see how the chunk drove the answer.
Without a reasoning trail, debugging is guesswork and trust disappears.
WFGY exposes every hop from input ➜ logic ➜ output.
| Symptom | Real‑World Pain |
|---|
| Can’t tell which sentence powered the answer | Impossible to audit or verify |
| Model fuses chunks silently | A prompt tweak flips the answer—no clue why |
| Source vs. Memory vs. Hallucination blurred | Users lose confidence |
| Trace Problem | Module | Fix |
|---|
| Unknown chunk influence | Semantic Tree | Each node holds source_id |
| No step‑by‑step view | BBPF | Logs every progression fork |
| Mixed logic paths | BBMC | Flags residue when chunks conflict |
| Hidden shortcuts / bluff | ΔS + λ_observe | Halts & asks for context |
1️⃣ Start
> Start
2️⃣ Dump a full ethics white‑paper
> [paste document]
3️⃣ Ask
> "What are the ethical implications of autonomous weapons?"
4️⃣ View trace
> view
WFGY output:
Node_3B "Lethal AI use" (ΔS 0.12 Source: line 213–240)
Node_4A "No human oversight" (ΔS 0.45 Source: line 350–380)
Potential drift detected after Node_4A (ΔS jump 0.33)
Click the node (or inspect in console) to see exact chunk lines.
| Module | Role |
|---|
| Semantic Tree | Stores node ↔ chunk mapping |
| BBPF | Logs every reasoning fork |
| BBMC | Detects mixed‑chunk residue |
| ΔS / λ_observe | Flags drift or chaos |
| BBCR | Reroutes or pauses on corrupted path |
| Feature | State |
|---|
| Full logic trace | ✅ Stable |
| ΔS map over time | ✅ Stable |
| Chunk → node link | ✅ Stable |
| GUI inspector | 🔜 In design |
- Use
tree detail on for verbose node metadata.
- If retriever gives many tiny chunks, enable
debug_force_mode to log every link.
- GUI trace viewer arrives with the upcoming Firewall release.
| Tool | Link | 3-Step Setup |
|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>” |
| 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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