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.
Every month, we invite everyone at Pirxey to answer the same four-minute pulse: which tools, which models, how far up the ladder, how many hours AI gave back and how many it burned, what blocks them. Aggregates only, never a scorecard. Here is the latest edition in full: adoption is climbing, and the hard part is not the models.
Clients ask, politely, whether we actually use AI or just say we do. Fair question. Here are the receipts: every commit on a live client project carries its AI share, model and tool in the prefix, a weekly report is generated from git log, and our own team survey counts the hours AI gave back and the hours it wasted. Plus the part that matters most — who is in the middle, and whose name is on every merge.
Explore how module boundaries change an agent's reading scope, blast radius and review burden. Set up ports, typed contracts, tests and PR gates with a concrete Java/Spring and frontend example.
You want an AI feature in your product. You are not sure it holds up technically or financially, and you are not sure who builds it. Pick the feature archetype, set the traffic, switch the safeguards on and off — output validation, handling of wrong answers, tests of the whole path, cost caps, PII — and watch what survives contact with users. A rule set calibrated on features we shipped, not demos we gave.
Every prompt, every accept, every 'ship it' is a decision, and with AI in the loop one person makes hundreds a day. Each one needs the same four things: knowledge, speed of thought, reading with comprehension and clearly stated expectations. Set the profile of the person deciding, set how fast they find out they were wrong, and watch a month of decisions — and what a good decider is worth in hours.
Not a program. A compass. Score your company on five things in plain language — data, architecture, security, people, process — and get a ninety-day plan built from your weakest two, always starting with one repeatable workflow. Then run any process through five questions to see whether it should be automated at all.
Design one workflow with rules, an LLM or an agent. Build its six-step blueprint, compare modeled cost and review time, find control gaps and take away a concrete pilot plan.
See how support tickets, release regressions and testing divide your team's week. Adjust the load and compare six months with a dedicated maintenance stream.
AI widened the coding highway. It did nothing for the streets around it: product discovery, analysis, review, security checks and testing still run at human speed. Change the traffic, find the queue, and see what actually reaches customers — then see who has the town built around the highway, and who is still waiting at the exit.
For one week in July, a software factory ran tickets end to end — plan, build, verify, review — with humans making exactly two decisions per ticket. Fifty tickets, $2.90 each, minutes of oversight. Assemble the line yourself from blocks and see where the humans have to stand, what happens when you remove them, and why most of the work is the machinery nobody demos.
PirxeyOS is the operating system we are building for our own company: time tracking, HR, a skills matrix, employee records, onboarding — and more on the way. The first module replaced Clockify. One developer, AI-native, a working product in about twenty working days. Then real users arrived. Scrub through 32 weeks of commit history — every fix, every feature, every AI co-author line — and see what the demo cost, and what the product cost after it.
Twenty percent of the effort used to buy eighty percent of an MVP. With AI it's five percent for ninety-five — of what the demo shows. Drag the sonar down the iceberg and price the part nobody demos: edge cases, permissions, tests, migrations, real devices. A Pirxey field model, calibrated on 587 commits of our own product.
Type any domain. Get a verdict on the four layers of email authentication in under two seconds — what's configured, what's broken, and what to paste into your DNS. No signup, no paywall. The same audit a Solution Architect runs by hand — in your browser, instant, free.
Your client built that module solo with Claude in an evening. Your team spent a quarter on the same scope. Drag the slider — see why AI leverage decays as a codebase grows. A Pirxey 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.
