Field notes from the automation frontier.
Playbooks, teardowns and lessons from building AI agents and automation systems for real businesses — written by the engineers who ship them.
The 5-step framework we use to automate any workflow
Map, measure, remove, automate, monitor — the exact sequence we run before writing a single line of automation code.
How a 40-person logistics team cut ticket response time by 71%
A behind-the-scenes look at the intelligent agent stack we deployed for a mid-market logistics operator in six weeks.
Prompt engineering is dead. Context engineering is the job now
Why the hard part of building reliable agents shifted from wording a prompt to designing the information the model sees.
Integrations are the actual product — not the AI model
Your customers don't care which model you're calling. They care whether it moves data correctly between the 6 tools they already use.
The hidden cost of "just one more manual step"
How a single unautomated handoff in an otherwise slick pipeline quietly erases most of the ROI — and how to spot it.
Building a 24/7 support agent that actually knows when to shut up
The escalation logic behind an always-on support agent that resolved 68% of tickets without ever pinging a human.
Guardrails, not gates: how we let agents move fast safely
Our approach to giving autonomous agents real permissions in production without waking up to a 3am incident.
What we learned shipping automation for 120+ different teams
Patterns that hold true whether you're automating a 5-person agency or a 500-person enterprise ops floor.
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