Resources
Thinking for AI that
has work to do.
Practical notes on moving from model capability to reliable agent systems, safe integrations, and accountable operations.
Field guide · 7 min read
Read article →From AI demo to operational agent
A practical framework for choosing the right workflow, defining boundaries, and measuring whether an AI agent is actually helping.
Architecture · 8 min read
Read article →Safe orchestration for specialist AI agents
Why multi-agent systems need explicit capabilities, shared task state, approval gates, and audit trails before they need more autonomy.
Systems · 6 min read
Read article →Why useful AI is integration-first
A model becomes a business system only when it can reach the right context, fit existing work, and return results safely.