AI readiness scorecard
Twelve honest questions that turn 'should we build this with AI?' into a score — covering data, the use case, the risk, and whether ordinary software would just be better.
Free, practical tools we actually use — project checklists, readiness scorecards, and planning templates. The working files that turn “I think we're ready” into “here's the list, and we've checked it.” No sign-up wall, no fluff — just the files.
A good checklist turns “I think so” into “we checked.”
Most expensive mistakes aren't exotic — they're the obvious thing everyone forgot under deadline pressure: the backup nobody tested, the readiness question nobody asked, the scope that was never really pinned down. The cure is boring and it works: a checklist. These are ours — the lists and scorecards we've built from real projects and run on our own work, distilled to the questions that actually catch problems. We give them away because a tool that quietly saves you a bad week is the most honest demo we can offer.
Every launch has the same handful of ways to go wrong — the migration nobody rehearsed, the alert that was never wired up, the rollback plan that existed only in someone's head. This is the list we walk before we put anything in front of real users: performance, security, backups, monitoring, and the “what happens when it breaks” questions. Boring on purpose, and exactly the kind of boring that keeps a launch day calm.
Get the checklistPre-launch, handover, and go/no-go lists — the boring items that decide whether a release is calm or chaotic.
Honest, scored questions: is this idea ready to build, is this system ready to ship, is this AI use case worth it.
Scoping and estimation frames that turn a vague brief into something you can actually plan and price.
The structural and safety questions to answer early — the ones that are cheap now and painful to retrofit.
What to verify before go-live and what to hand over after, so nothing important lives only in one person's head.
Simple frames for sizing the unknowns honestly, so a number means something instead of just sounding confident.
The lists we run ourselves.
Not theory — the working checklists and scorecards from real projects, cleaned up and given away.
Twelve honest questions that turn 'should we build this with AI?' into a score — covering data, the use case, the risk, and whether ordinary software would just be better.
The list we run before anything goes live — performance, security, backups, monitoring, rollback. The boring items that turn a launch from a held breath into a non-event.
A one-page frame for turning a vague brief into a buildable plan: the real problem, the must-haves, the unknowns to size, and what you're deliberately leaving out.
No form, no drip campaign to reach them. Take what's useful; if it leads to a conversation later, great.
Each one is the cleaned-up version of something we actually run on client work — not a list invented for a download.
Starting points, not scripture. Copy them, cut what doesn't apply, and add what's specific to your stack — just keep them honest.
Get the whole toolkit.
Every checklist, scorecard, and template in one bundle — free, and growing.
Get the bundleTell us what you're about to plan, build, or ship, and we'll point you at the right tool — or run through it with you. If we don't have one that fits, there's a good chance we have a rougher version worth cleaning up for you.