WorkOps (Axios Forensic) is a high-fidelity automation framework designed for audit-heavy environments. It bridges the gap between AI generation and professional engineering by enforcing an immutable Proof-of-Execution chain for every outcome.
Important
What this is: A robust demonstration of Dockerized AI-Orchestration, CI/CD Hard-Traces, and Zero-Placeholder templating. Why it matters: It provides verifiable proof that an automation ran successfully in a clean environment, preventing "Black Box" automation failures.
WorkOps operates on a three-layer model:
- Intelligence Layer: RAG-enhanced LLM orchestration for decision scoring.
- Orchestration Layer: FastAPI gateway and n8n workflows managing state.
- Forensic Layer: Immutable log collection and SHA-256 integrity sealing.
- 🛡️ Forensic-Grade Proof (EAGLE-066): Automated 6-gate audit for every run.
- 🚫 Anti-Mock Guardian: Build-time rejection of simulated or fake evidence logs.
- 📦 ProofPack Delivery: Holistic ZIP bundles containing CVs, DM drafts, and full audit traces.
- 🧩 Zero-Placeholder Engine: Candidate profile YAML to final document mapping.
- 🐳 One-Command CI: Full Docker lifecycle management via GitHub Actions.
Verify a local environment in 90 seconds:
# Clone the repository
git clone https://github.com/Carefree1987/workops.git
cd workops
# Run the Audit Builder
python proofpack_build.pyCheck the results in: artifacts/exports/application_pack_sample/
Every build is validated through 6 gates:
- Scope | 2. Diff | 3. Tests (Hard-Trace) | 4. Artifacts | 5. Repro | 6. Integrity (SHA-256)
Detailed guides are available in the /docs folder:
- Zero Secrets: This repository does not contain API keys or tokens.
- Privacy-First: PII is scrubbed from public logs; only synthetic or redacted data is showcased in CI.
- Auditability: All actions are logged with GitHub Run ID provenance.
Distributed under the MIT License. Created by Dennis Sorgenfrei.
WorkOps - Stop guessing. Start proving. 🦅