Build Real AI E10: I Built an LLM Feature in Python — Then Almost Committed the Key

We connected a blockchain to a power plant control system. Real generation infrastructure on the other end. This is the defendant putting himself on trial — a certified smart-contract developer, defending the one thing he can't be objective about.Then the business analyst asks four words: "Who couldn't trust whom?" — and there's no answer, because everyone already trusted the grid operator. Regulated by law. A trusted third party, sitting right there the whole time.It went to production. It worked. Two years later someone replaced it with a Postgres table in six weeks. Nothing broke. It got faster. He found out from a conference talk. Someone else's.The engineering was never the problem.ON TRIAL is a recurring software debate, argued like a courtroom. One defendant, three questioners, no hedging, no "it depends."#blockchain #softwarearchitecture #systemdesign #softwareengineering #distributedsystems #devopsWatch the video: https://www.youtube.com/watch?v=zuqHfAPm4O8

"Reduced deployment time by a third." "Lowered defects by a quarter." "Made data exchange 40% more efficient." Oliver read three numbers off his own CV and asked the panel to audit them, out loud, on camera.Olga asks the only question that matters: measured when, under what load, by whom — and before or after you knew the number you wanted? Then the room implicates itself. Sophia receives these numbers as facts in requirements documents. Anastasia admits she's written them. This isn't him. It's all of us.And the confession is worse than a lie: he thinks the number's roughly right. He just can't prove it. The measurement's gone, the system's gone, the person who ran it left in 2019. It's not a lie — it's something he can't tell apart from one. And he's been paid on it for six years.ON TRIAL is a recurring software debate, argued like a courtroom.#softwareengineering #techdebt #systemdesign #softwarearchitecture #career #programmingWatch the video: https://www.youtube.com/watch?v=hcwCsedEQaM

New format. For three episodes, Olga asked the questions — "written by whom?", "who else can run it?", "how do you test this?" This week she brings the case, Oliver rules on it, and then Anastasia and Sophia rule on whether Oliver judged honestly or just enjoyed it.Her case: she used to test [SYSTEM] by hand, every release. So she automated it — on her own time, because nobody was going to budget it — and cut it from [MANUAL] to [AUTO]. Genuinely smart. Genuinely right.Then the room turns her own questions on her. Written by whom? Her. Maintained by whom? Her. Who else can run it? ...Just her. To stop being the bottleneck, she built a second machine only she can operate — and automated the known checks, not the suspicion that made her good. The woman who never trusted a green checkmark built one.Everything hinges on one question: the time you saved — what did you do with it?ON TRIAL is a recurring software debate, argued like a courtroom.#softwaretesting #qa #testautomation #softwareengineering #engineeringculture #systemdesign #devopsWatch the video: https://www.youtube.com/watch?v=31czeKsM2gk

For once, the defendant isn't sorry. Event-driven microservices. Kubernetes. Kafka down the middle. "I'd design it exactly the same way again. Convince me I'm wrong."Anastasia goes at the queue-vs-log choice — and gets a real answer: replay. Six consumers on the order stream, three of them (fraud, analytics, loyalty) added years later, each replaying the full history from day one. A queue can't do that. A log can. She concedes. Olga goes at testability — six consumers, one specific interleaving, a 3am bug you can't reproduce — and gets an honest "you can't, and I built it anyway, on purpose." She concedes too. Nobody in the room can break the architecture.So Sophia stops attacking it and asks the boring question: the whole thing exists to hit one number — sub-second, end to end — where is that written? Silence. No requirements doc. No owner. No SLA. A product manager said "it has to feel instant, so, sub-second" in a 2021 kickoff, it went in the deck, and the PM left a year later. The system is genuinely good. Nobody ever asked for it. And that's worse than being wrong.ON TRIAL is a recurring software debate, argued like a courtroom.#kafka #microservices #eventdriven #systemdesign #softwarearchitecture #kubernetes #distributedsystemsWatch the video: https://www.youtube.com/watch?v=1JiRrd85yEI

Most Agile transformations fail. Not because of bad tools — but because of a leadership vacuum at the team level.In this briefing, we analyze two foundational military leadership books (Patton's One-Minute Messages and Malone's Small Unit Leadership) and show how their principles translate directly to software engineering teams through the CogniPod Framework.Key Results:• Defect rate: 2% vs 8% baseline (75% reduction)• Time-to-market: 12 weeks vs 32 weeks (63% reduction)• Team satisfaction: 92% vs 41%#Agile #SoftwareEngineering #Leadership #CogniPod #Patton #DailyAIWizardWatch the video: https://www.youtube.com/watch?v=xRgLGVscdnM

Want to build real AI, not just read about it? This is the Daily AI Wizard trailer.Hosted by Oliver Bodemer, with AI tutor avatars Anastasia and Sophia. Start with Build Real AI (Season 7): fifteen short episodes from an empty folder to an AI app you've shipped.Follow the show so new lessons show up automatically. Prefer to watch? https://youtube.com/@dailyaiwizard

Fourteen episodes. An empty folder to a shipped AI app. In the season finale, every brick snaps into one finished project — and you see how to present it so it actually gets you noticed.This is episode 15 of 15 in Build Real AI. You leave with an assembled capstone, a polished README, a live demo link, and a portfolio piece that proves you build and ship. Hosted by Oliver and Olga, with Anastasia and Sophia teaching.What you'll walk away with:An assembled capstone app from everything you built this seasonA polished README that recruiters actually readA live demo link — your portfolio proofA recap of your end-to-end AI skill setWatch the screen version: https://www.youtube.com/watch?v=TXhWBOH0Xdg

AI isn't production-ready until it's affordable, fast, safe, and honest. This episode covers four pillars that separate a demo from a real product.This is episode 14 of 15 in Build Real AI. You leave with caching, rate limiting, right-sizing, and uncertainty handling. Hosted by Oliver and Olga, with Anastasia and Sophia teaching.What you'll learn:Cache repeated requests — save money and speedRight-size your model — match the model to the jobRate-limit your endpointsBe honest about uncertainty — earn user trustWatch the screen version: https://www.youtube.com/watch?v=rxIERYW-Fig

It's not real until someone else can open it. In this episode you push to GitHub, connect your dashboard, set secrets, hit deploy — and get a live public URL for free.This is episode 13 of 15 in Build Real AI. You leave with requirements.txt, a GitHub-connected deploy, dashboard secrets, and a live URL you can text to anyone. Hosted by Oliver and Olga, with Anastasia and Sophia teaching.What you'll learn:Why a project on your laptop is invisibleHow requirements.txt keeps your cloud environment in syncHow to store secrets in the dashboard — never in the repoHow to deploy straight from your GitHub repoHow to open your live public URL on any deviceWatch the screen version: https://www.youtube.com/watch?v=mg_wQHvaTaM

AI fails in strange, confident ways. In this episode: validate, catch, fallback, then three tests that stay green.This is episode 12 of 15 in Build Real AI. You leave with input validation, a try/except fallback, and three green pytest tests. Hosted by Oliver and Olga, with Anastasia and Sophia teaching.What you'll learn:Why AI bugs don't crash — they lieHow to validate input before it reaches the modelHow to catch failures with a friendly fallbackThree pytest tests: normal, edge, and bad inputWatch the screen version: https://www.youtube.com/watch?v=MncbljaSg-s