AI readiness: twelve questions, no consultant
Answer twelve questions about your company’s AI readiness. Find your weakest pillar and compare with our own answers, without a signup.
Each brief takes one concept from shipping real software and makes it hands-on: a working widget to test the idea, the Skills, Gems and custom GPTs we built around it, and the sources behind it.


Answer twelve questions about your company’s AI readiness. Find your weakest pillar and compare with our own answers, without a signup.
28 people have changed our company second brain since May, and ten of them do not write code. See who wrote what, two counts five weeks apart, and what is still weak.
Explore the questions behind our second brain for a 130-person company, including the mistakes and access problems we still face.
Explore five leadership questions through evidence and gaps. Try a fictional decision scene with records from a second brain.
Walk the delivery loop behind a consumer product built in 44 days. See where AI worked and people decided.
Trace who can see what in Pirxey World. Personal logins and separate GitHub repositories set the boundaries.
Follow a fictional question from rules and indexes to a tool. See what enters context and why old sources need checking.
Follow nine management questions through Pirxey World. See how an assistant searches company knowledge using each person’s own access.
Every month, we survey AI use at Pirxey. Explore rising adoption and the obstacles beyond the models.
See how we record AI use in commits and count time saved and wasted. Find who owns each merge.
Explore how module boundaries change what an agent reads and what reviewers must check, with a Java/Spring and frontend example.
Pick an AI feature, set the traffic and toggle safeguards. See what survives contact with users.
Set the decision-maker’s skills and feedback speed. Watch a month of AI-assisted decisions and their accumulated repair effort.
Score your company and get a ninety-day plan. Test whether a process should be automated at all.
Build one workflow with rules, an LLM or an agent. Compare modeled costs and find gaps before a pilot.
Adjust your team’s support and testing load. Compare six months with a dedicated maintenance stream.
AI sped up coding. Change the traffic around it to find the queue holding up delivery.
Assemble a software factory from blocks. Remove the human checkpoints and see what breaks.
Scrub through 32 weeks of PirxeyOS commits. See what the first version cost, then what keeping it working took.
Drag the sonar below the demo and price the hidden work. A field model calibrated on 587 commits.

Test your domain’s email authentication. See what’s broken and what to paste into DNS, free in your browser.

Drag the slider to see why AI gains shrink as a codebase grows. A field model from 53 production projects.
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Book 30 minutes with Mike to talk it through — or drop a suggestion by email and we'll get back.