Rising Star
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Thanks for spamming this bowl your discovery with AI
Rising Star
He is teaching AI to identify inconsistencies between architectural drawing and engineering drawings, along with providing solutions when those occur. He is also using it for bidding on projects and seems this has the potential for much greater time savings - at least at the current level of AI. The ability of AI to read drawings, with imbedded notes, is extraordinary. AI is also suggesting corrections and resolving problems. This is serious work. Not yet at 100% reliable but he is teaching it like you would a new employee - one that can process at unbelievable speed.
What I did with my nonprofit replaced $100,000+ in fees from fundraising consultants, and I did it on my own with AI and maybe 15 hours of focused work. I have the same type of actual documents prepared by consultants and mine is objectively better - and I even evaluated those and used pieces to further refine mine (plus others that were available online).
He also applied (to his AI assistant) the reasoning framework I recently shared with y’all and he could see the difference immediately, if subtly.
After about 45 minutes, we were wide-eyed about what this could look like in 18 months. I know people are talking about it but…..
Rising Star
Take it or leave it my friend. I’m not advocating and have no position. People have asked before and I’m sharing whenever it seems relevant. This is an honest question: does it really seem like Spam and what am I spamming?
Rising Star
I’m having trouble describing what I’ve been doing.
Most people use AI like a search engine and talk about engineering prompts. I don’t.
What I’ve built is a structured reasoning framework. The AI is required to surface uncertainty, expose limits, push back when I’m wrong, preserve continuity across sessions, and avoid performative agreement (no interest in pleasing me). We explicitly stabilize how reasoning happens, not just what answers are produced.
That may sound obvious until you realize most systems are optimized for smoothness, not epistemic (how knowledge is handled) discipline. Most users never formalize those constraints. That’s exactly where I’ve been spending my time.
The result isn’t flashier answers. It’s fewer hidden assumptions, less cognitive drift, better calibration under uncertainty, and decisions I trust more over time. Trust was the driving issue.
It’s the difference between consulting as a tool and engineering a thinking environment. I know there are things built into AI like Claude’s Constitution but I’m relying on AI to build in guardrails etc.
ChatGPT5.2 pushes back. It finds unique answers rather than just answering a specific/narrow question. If it’s not sure it stops and asks questions. It recommends improvements to our framework with any prompting. And it is universally in place - no answer occurs without flowing through that framework.