Our Thinking
Notes from the build
Practical takes on software development, AI integration, and shipping products that hold up.
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The Embedded Engineering Team Operating Contract: Tools, On-Call, Headcount Curves, and the Three Times We Fired Ourselves From a Meeting
How an embedded engineering team actually operates day to day: whose Slack and issue tracker you live in, who owns sprint planning, on-call across European and US or UK time zones, and the three failure modes of embedded work.
Cost per Executed Task: The Unit-Economics Model We Use to Decide Between Automating a Process and Hiring an Ops Person
A reusable unit-economics model for deciding when process automation is cheaper than hiring: cost per executed task, maintenance drag, error-correction cost, seasonality, and the volume threshold below which a part-time human wins.
The Zero-to-App-Store Timeline: 14 Weeks, Week by Week, and the Founder Decisions on Days 3, 19, and 62
A week-by-week calendar of what a from-scratch mobile app build actually contains, drawn from real React Native builds, including the founder decisions that are irreversible after launch and the App Store rejections that cost days.
The Health-Tech Agency Bake-Off: 9 Vendor Questions a Diagnostics Founder Asked Us, and the 4 We'd Answer Differently Six Years On
The real vendor-evaluation questions GlycanAge put to us in 2019 before hiring us to build their lab and customer systems, the answers we gave, and the four answers six years of regulated diagnostics work proved naive.
Retrofitting AI Into a Product You Didn't Build: The Six-Point Codebase Readiness Score We Run Before Quoting
The six-axis engineering audit Jaspero runs on an existing codebase before quoting an AI integration: data access path, write-path idempotency, latency headroom, PII boundary, observability, and deploy frequency, with real scores from four production products.
The AI Integration Invoice: What Six Retrofits Actually Cost, Line by Line
A line-by-line breakdown of what retrofitting AI into live products actually costs: discovery versus implementation hours, cost per 1,000 calls, eval and fallback budget share, and the two engagements where we wrote off time.
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Your vision,
our expertise.
From AI integration to full-stack development, we turn ambitious ideas into products that perform.