Phase 5: Deployment, Security, and Scale (Tasks 81–100)

Task 81: Unit Testing of Scrapers

  • Strategy: Maintain "Golden HTML" files (static snapshots of target sites). Run tests against these to ensure parsing logic works even if the live site is down.

Task 82: Integration Testing of Workflows

  • Strategy: Mock the LLM responses to test the state machine logic without incurring API costs.

Task 83: Load Testing

  • Objective: Ensure the system can handle scraping 50 sites concurrently without crashing.

Task 84: Rate Limit Simulation

  • Strategy: Simulate 429 errors from APIs to ensure the backoff logic works.

Task 85: OWASP Security Audit

  • Focus: Prevent SQL Injection in the dashboard and XSS in the description renderer.

Task 86: GDPR/CCPA Compliance

  • Action: Ensure the "Delete Account" button actually wipes all scraped data associated with the user.

Task 87: Dockerization

  • Deliverable: docker-compose.yml defining the Agent, DB, Scraper Service, and UI.

Task 88: Cloud Deployment (AWS/GCP)

  • Architecture: Deploy on AWS ECS (Fargate) for serverless container management. Use RDS for the relational DB.

Task 89: CI/CD Pipelines (GitHub Actions)

  • Flow: Commit -> Test -> Build Image -> Deploy to Staging.

Task 90: Monitoring & Observability (Prometheus/Grafana)

  • Metrics: "Scraper Success Rate," "LLM Latency," "API Cost per Day."

Task 91: Cost Monitoring and Alerts

  • Objective: Alert if OpenAI spend exceeds $5/day.

Task 92: "Kill Switch" Implementation

  • Importance: Immediate hardware/software stop if the agent goes rogue (e.g., spamming applications).

Task 93: Beta User Onboarding

  • Objective: Recruit 5 "Alpha" users to test the match quality.

Task 94: Feedback Loop (RLHF)

  • Logic: Use the "Swipe" data to fine-tune the embedding model (retrieval ranking).

Task 95: Documentation

  • Deliverable: API docs and a "User Guide" explaining how to write a "Manifesto" for the agent.

Task 96: Open Source Strategy

  • Decision: Open source the generic scrapers (to get community fixes) but keep the matching logic proprietary.

Task 97: Community Building

  • Action: Create a Discord for users to share "Agent Wins."

Task 98: Roadmap Planning (V2)

  • Future: "Auto-Interview" with AI avatars? "Salary Negotiation" bot?

Task 99: Final System Polish

  • Action: UI cleanup, loading states, error messages.

Task 100: Launch

  • Action: Release the Kraken.