Articles
Notes from the studio.
Working notes from the Gnomic studio — what we’ve seen across live builds, what tends to matter, and the trade-offs that decide whether a project lasts past launch. We write about AI features in production, project recovery, handover, and the engineering decisions that hold up once real users arrive.
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Fresh writing.
Every article on this page comes from work we have actually shipped — projects delivered for UK teams across operations, customer portals, and AI systems. We write about the trade-offs that decide whether a build lasts past launch: when an AI feature earns its keep versus when it just looks productive, how to recover a stalled project without losing the work already done, and what handover should really look like so an internal team can own the code with confidence. The aim is practical insight you can act on — not generic industry takes, and not vendor marketing dressed up as advice. If a topic here matches a decision you are weighing up, you can also run the Pathfinder assessment for a one-page report on your own project, or brief us directly for a conversation about the work.
Why your AI feature isn’t working in production.
The gap between a demo and a working feature is wider than most teams expect. Here’s what we look at first when an AI build stalls.
Read articleThe handover guide we leave on every project.
A breakdown of what goes into the project guide we hand over at release — and why it matters whether you continue with us or not.
Read articleRepair, rebuild, or retire? A decision framework.
When you inherit a system that isn’t working, the right next step isn’t obvious. Here’s the framework we use during a Forge: Repair triage.
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