// Blog

Blog

Practical lessons from building AI workflow systems.

  1. AI Project Drift: What It Is and How to Fix It

    AI-assisted projects silently accumulate information loss between sessions. Here's the real pattern, why it happens, and the systematic approach we use to stop it.

    • ai-workflows
    • context-management
    • claude
    • best-practices
    • drift
  2. The Docker Bind-Mount Trap: A Real AI Deployment Incident

    We deployed a Caddy config update that appeared to succeed but changed nothing. Here's the exact failure, why it happened, and the one-line fix that works every time.

    • docker
    • caddy
    • deployment
    • infrastructure
    • incident
  3. Multi-Agent AI Workflows: Patterns That Actually Work

    Single-agent AI setups hit ceilings fast. Here are the coordination patterns we use in production — including the mistakes we made getting there.

    • multi-agent
    • ai-workflows
    • claude
    • architecture
    • orchestration
  4. Welcome to CoveLab

    Real lessons from building AI-assisted development systems — infrastructure, workflow patterns, and the mistakes we made so you don't have to.

    • getting-started
    • ai-workflows
    • covelab