The puglieseweb Ecosystem
From Voice to Verified Code
Your team makes decisions. AI documents them, builds from them, and enforces them. Humans stay in control at every step.
The Problem
Decisions get lost
Architecture decisions happen in meetings. Writing them up takes hours nobody has. They stay in people's heads.
AI repeats mistakes
AI coding tools ignore your standards. They repeat the same violations because they lack your project context.
Architecture degrades
Without enforcement, standards erode. Each PR makes it worse. Manual code review can't catch everything.
Your team makes the decisions
Architecture choices happen in meetings, calls, and whiteboard sessions. The human decides. Not the AI. Noteble just records.
Noteble generates drafts
👤 Author reviews & edits before publishing
AI drafts. You approve.
One recording generates multiple documents — ADR, spec, meeting notes — simultaneously. But nothing publishes until you review and approve.
Edit inline. Fix AI misinterpretations. Add what the recording missed. Share with teammates for feedback before it goes live.
Documents live with your code
Approved documents auto-sync to your GitHub repo as markdown. Your architecture decisions live next to the code they govern.
Team can discuss via GitHub PR review. ADRs follow a status workflow: proposed → accepted → superseded. Always version-controlled.
payment-service/
└── docs/
├── adr/ADR-042-payment-notifications.md
├── requirements/payment-retry.md
└── notes/sprint-14-kickoff.md
✓ Auto-committed by Noteble
✓ Indexed by SystemDox in seconds
Guardrail
"Always use shared-observability wrapper, never import @sentry/react directly"
Auto-generates fitness test + injects into AI context
AI Agent executes
Issue #7: Implement payment notification handler
Standards become guardrails. Plans become code.
SystemDox turns your indexed docs into enforceable rules. AI agents read your ADRs, follow your guardrails, and implement your roadmap.
You define what matters. You review the generated plan. AI writes the code and opens PRs. You approve or reject.
Automated checks. Human judgement.
Fitness tests run on every PR automatically. They catch violations that humans might miss. But humans decide what's a real issue vs. a false positive.
Cross-repo compliance matrix shows which services pass which standards. Your architecture health at a glance.
✓ Uses SQS (per ADR-042)
✓ shared-observability wrapper
✓ Auth via resolve_principal()
✗ Missing dead-letter queue config
→ PR blocked. Developer reviews the failure.
Every failure makes the system smarter
When patterns of failure emerge, your team decides what to enforce. New guardrails get created. The AI never makes that mistake again. Architecture quality ratchets up over time.
Capture
Noteble
Publish
GitHub
Enforce
SystemDox
Learn
Human
AI Proposes. Humans Dispose.
AI accelerates
- • Drafts documents from recordings
- • Generates code from specs
- • Suggests guardrails from failures
- • Detects violations automatically
Humans decide
- • Review and approve every doc
- • Merge or reject every PR
- • Choose which rules to enforce
- • Judge what's worth improving
AI does the 80% grunt work. Humans own the 20% that requires judgement.
Ready to close the loop?
Start capturing decisions with Noteble. Enforce them with SystemDox. Watch your architecture quality improve automatically.