Field notes.
Essays on engineering judgment, AI systems, and small senior teams — written by the people who ship the work, for the people who buy it.
AI Should Make Your Company Smarter, Not Just Smaller
Cutting work is easy to measure. Building a company that captures human judgment and gets smarter with every cycle is harder, more valuable, and far more durable.
Building Your First AI Agent: A Clear Path
An agent is a model in a loop with tools. Pick one narrow job, use an existing model, wire the heartbeat, and test on real work. A beginner path with a production example.
Skills vs Prompts: The Simple Difference
A prompt is one request. A skill is a reusable playbook. One PR review example makes the difference clear, with a kitchen analogy and a five-line skill template.
How to Implement Loop Engineering in Your Project
Stop prompting your agent by hand. Build the loop that prompts it instead with real checks, hard brakes, and a verifier that says no. A practical guide with numbers from production.
How our client's acquisition made us rethink value
Jencap Group's acquisition of Foresite Sports proved a simple thesis: software built as long-term infrastructure gets valued differently than software built as a deliverable.
Why we stopped estimating in hours
Activity-based pricing rewards the wrong incentives. Here is how we switched to fixed-scope milestones and what changed for both sides of the table.
The case for small, obsessive teams
Communication overhead grows quadratically with team size. A 4-person team has 6 channels; 12 people have 66. Small teams don't need process because everyone knows what everyone else is doing.
How we ship AI features without the hype
Most AI pilots stop at a chat box. The hard part is turning expert judgment, tool access, approvals, and audit trails into a workflow the business can trust.
Rather build than read?
We help enterprise teams turn expert workflows into compounding systems — AI agents, data platforms, compliance automation, and product engineering with senior pods.
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