Atlas — Agent OS Web Scraper & Core Pipeline Milestones
By Sean WeldonAtlas Development Log — Agent OS Core Pipeline
Overview
This development phase focused on standing up the foundational Agent OS infrastructure and completing the end-to-end vertical slice of the Local Business Scout system. The primary objective was to validate a resumable, deterministic audit pipeline driven by autonomous workers, from crawl to score, with production-grade observability and documentation.
1. Objectives
- Implement the Agent OS core pipeline through defined phases.
- Validate a full crawl → extract → audit → score workflow.
- Ensure the system is resumable, idempotent, and artifact-backed.
- Establish a scalable foundation for future agent autonomy.
2. Key Developments
Technical Progress:
- Designed and implemented a complete Prisma database schema with full relationships.
- Built Python worker infrastructure with resumable job claiming and state machine orchestration.
- Implemented crawl (Playwright), extract (BeautifulSoup), audit (Lighthouse CLI), and score (deterministic rubric v1.0.0) stages.
- Added object storage support (S3/MinIO/R2 compatible) with artifact hashing and deduplication.
- Delivered API endpoints with Zod validation and a Next.js UI (Dashboard, Leads, Audit Detail).
System / Agent Improvements:
- Jobs are resumable using
FOR UPDATE SKIP LOCKED. - Pipeline stages are idempotent and safe to re-run.
- Deterministic scoring ensures consistent outputs for identical inputs.
- Structured logging and audit artifacts improve traceability and observability.
Integrations Added:
- Prisma ORM + PostgreSQL
- Playwright for crawling with parking detection
- Lighthouse CLI for Core Web Vitals
- Docker Compose for local orchestration
- Shadcn/ui for frontend components
3. Frameworks or Tools Used
| Category | Tool / Framework | Purpose |
|---|---|---|
| AI / LLM | Agent OS Architecture | Autonomous pipeline orchestration |
| Automation | Playwright, Lighthouse CLI | Crawling and performance audits |
| Data / API | Prisma, PostgreSQL, Zod | Persistence and validation |
| Visualization | Next.js, TailwindCSS, Shadcn/ui | UI and dashboard |
4. Outcomes
- End-to-end pipeline fully operational and production-ready for internal use.
- 48 files created (~5,150 LOC) across backend, worker, and frontend.
- Four pipeline stages validated with deterministic outputs.
- Dockerized local environment with documented startup and migration flow.
- Comprehensive documentation including README, QUICKSTART, and phase completion summaries.
5. Next Steps
- Add optional test coverage for worker, pipeline, API, and integration layers.
- Polish UI with lead creation forms and real-time status updates.
- Introduce rate limiting and minor UX improvements.
Reflection
This phase represents a major inflection point for Atlas — transitioning from concept to a functioning autonomous system. The core architectural principles (resumability, determinism, and observability) are now proven in practice, providing a stable substrate for higher-level intelligence, agent coordination, and future expansion.
“A system that can safely restart is a system you can trust.”