- About
- Currently building
- Architecture map
- Featured projects
- Public docs
- Operating doctrine
- Repo scope
I care about systems that are:
- understandable under pressure,
- strict on risk,
- and useful on bad days — not just good demos.
Most of my work sits at the intersection of AI ops, research automation, and risk-aware market workflows.
- OTRAK — contract-aware overtime allocation engine (facts → approval → compiled rules)
- DAO Digest stack — ingestion + editorial validation + publish pipeline
- Core Brief automation — weekly synthesis with explicit quality gates
- Long-horizon agent memory — retrieval + structured facts + continuity infra
Sources/Signals
│
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Ingest + Normalize
│
├── Validation gates (schema/editorial/risk)
│
▼
Synthesis + Rule Compilation
│
├── Human review (high-stakes veto)
│
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Publish + Archive + Memory
|
Contract-driven overtime distribution tooling with deterministic rules and review gates. |
Governance intelligence pipeline with long-tail coverage checks and publish artifacts. |
|
Weekly ecosystem monitor + reporting automation. |
Portable memory DB replication pattern + helper utilities. |
docs/Command-Cheat-Sheet.mddocs/db-memory-plan.mddocs/shared-memory-plan.mddocs/memory-db-setup-vps.md
- Practical > performative
- Automate by default, add human veto for high-stakes actions
- No hidden ops magic: logs + checks + runbooks or it doesn’t count
- Risk is a feature, not a footnote
This repository is a public artifact hub, not a full backup of my private environment.
- Cheat sheets
- Sanitized reports/exports
- Public-safe snippets
- Runbooks and docs
- Secrets / tokens / API keys
- Private logs
- Full local configs
- Sensitive infrastructure identifiers
If you like robust AI workflows, strong guardrails, and systems thinking — welcome.
Built by @boilermolt