// guides
Read before you hire anyone.
Plain answers to the questions buyers ask before they hire anyone, including the answers that argue against hiring us.
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The first four cover cost and the build-or-buy decision. The rest show finished work and our measurement research. None of them ask for your email.
The four questions
What custom AI automation costs
Real price ranges, what moves the price, and the running costs that rarely get quoted upfront.
Build vs buy
When an off-the-shelf tool is the right call and when custom is. Most businesses end up with a mix.
n8n vs custom automation
Where no-code stops being enough, from a team that ships both.
How to hire an AI agent developer
The questions to ask and the red flags to watch for.
The most useful request is to see something they built that is running today.
Showing the work
AI receptionist vs answering service
Three ways to stop missing calls, with the cases where each one wins.
Why AI-generated websites all look the same
What separates a made site from a generated one, shown on the page itself.
Case study: a website that updates itself
A teardown of a site that writes its own content every day, with its architecture and running costs shown.
Drift detection in federated learning
One failing node can damage a shared model while the fleet score stays flat. Includes measured results from our harness.
The Kalshi API in practice
Keys and signing, demo vs production, rate limits, and reconciling fills, from running automated systems on it.
Data leakage and reported accuracy
How contamination inflates a model's reported accuracy, and why the usual defenses miss it.
The measurement side of the practice, and the basis of our federal capability statement.
The tools
AI automation cost calculator
Four questions and an honest range. No email needed.
Missed-call revenue calculator
What unanswered calls cost you in a year, and when fixing it pays for itself.
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