P3 Adaptive

Most AI still feels like it’s performing. Looks & sounds good, but not actually that useful. Then you hit something that hands you work you can use, and it resets your expectations. That’s the shift we’re seeing. It came up in a big way this week. 🔗p3ada.pt/know_it_all_ai

Explaining an idea ≠ progress Showing something real = progress That gap between knowing and building has been the bottleneck for a long time. What’s changing now is that you don’t always have to wait your turn. 🔗 p3ada.pt/knowledge_gap

You can tell pretty quickly if an AI tool is the real deal. If your first instinct is to rewrite it, it’s still a demo. If your first instinct is to keep going, now we’re getting somewhere. That line is moving. Not everywhere. But enough to notice. 🔗p3ada.pt/know_it_all_ai

AI that lives off to the side: useful. AI that lives inside your OneDrive, Teams, SharePoint, Outlook: different animal. That's what we're talking about. New Raw Data episode. 🔗 p3ada.pt/cowork

If an AI tool doesn't change how work gets done today, it usually stays on the sidelines. That's why a lot of technically strong AI projects fail quietly. Timing is the missing piece. New blog: p3ada.pt/smartest-tool

Quick test for any AI project: Who’s losing sleep over the problem? If the answer is nobody, adoption might get shaky. The AI wins we keep seeing all start the same way. Someone feels the pain personally. p3ada.pt/losing-sleep

AI can generate thousands of lines of code. It can also chase the wrong answer for ten minutes straight. Both things are true at the same time. 🔗p3ada.pt/career_growth

The AI projects that stick usually start selfishly. Someone builds a tool to fix their own pain. It works. Others copy it. It spreads. Top-down AI initiatives rarely start that way. We talk about why in this week’s Raw Data episode. 🔗 p3ada.pt/Who_stakeholder

Nashville kicked off the Chaos to Clarity tour. Kristyna Ferris shared key insights on building Microsoft Fabric data warehouses. Did you catch her DataTune session? If not, be sure to catch her there tomorrow!

There’s a weird AI trap right now. You ask AI to help write something complicated. It interviews you, organizes your thoughts, builds a polished argument. You skim it and hit send. Problem: AI is optimized to advocate. Human draft first. AI second. 🔗p3ada.pt/ai-risks

AI doesn’t create its own gravity. You can’t drop a smart tool into orbit and expect behavior to reorganize around it. We tried. It drifted. Raw Data this week is about sequencing, incentives, and why “technically correct” isn’t enough. 🔗p3ada.pt/Who_stakeholder

The future of knowledge work isn’t human vs machine. It’s human + machine. Judgment drives. AI accelerates. That pairing is ridiculous. 🔗p3ada.pt/ai-speak-4-u

Power BI didn't get good overnight. It got good because smart teams slowed down to go fast. Scoped the first deployment. Defined success narrowly. Iterated. The companies winning with AI right now are running the exact same play. 🔗p3ada.pt/day1-ai

There’s an easy button for hard conversations now. It’s called AI. It writes the email. It frames the argument. It sounds smart. And 95% of the time, nothing breaks. This week’s episode is about the 5% that does and why that matters more than the 95. 🔗p3ada.pt/ai-speak-4-u

Remember Tuesday's capability overhang post? Die Hard manhole guy, workflows that could run next week? That came from Rob and Justin on Raw Data. The full episode goes deeper: agent frameworks, vendor paralysis, Jensen's revenge story. Catch it here: 🔗p3ada.pt/agent-framework

Remember Die Hard? Guy in the manhole: "I can do it right here." That's AI implementation right now. Workflows that look like they need months could run next week. The capability overhang is pure opportunity. 🔗p3ada.pt/capabilities

Agent frameworks everywhere. Every AI player's got one; some have more than one. The companies moving fastest? They picked one and started building. While others evaluate, they're learning what actually works. 🔗p3ada.pt/agent-framework

Claude can update its own instructions when it spots problems. Live today. But companies are waiting for the "right" framework to emerge. Gap between capability and usage keeps growing.. 🔗p3ada.pt/agent-framework

Nobody learned to use Google by sitting through a training session. You just... Googled stuff. And figured it out. AI adoption works the same way. Exposure beats instruction every single time. This week, Rob and Justin dig into why. 🔗p3ada.pt/family-ai

The automation is running. Everything connects. But something's off. The informal handoffs. The tribal knowledge. The "just check with Sarah" moments. Automation doesn't know what to do with those. Map how work actually flows. Then automate. 🔗p3ada.pt/ai-automation