Here I am about to lead a Product Review meeting (and I'm not nervous at all). I know it's going to go well because I forced my reports to write a Problem/Solution Review doc. The best AI Product & Engineering leaders are using Problem/Solution Reviews to ensure their team is actually building the right product instead of just building software for the sake of it. At some point in my company's lifecycle, we scaled the number of projects we were working on to the point that I could no longer lead every single one. As co-founder and head of Product & Engineering, this was a big transition. I reached out to folks I knew and was lucky to get an amazing template. It helped me ensure we kept building the right things, even as I was managing more. The template was so helpful that I wanted to memorialize it for other founders and Product & Engineering leaders:

I've been working on tax software for the past 5 years. This is the last year anyone will have to pay for TurboTax. You can try it yourself today: - add the Aiwyn Tax connector inside of Claude (link below) - give it access to your tax documents (W-2s, etc.) - ask Claude to prepare your tax return ...and that's it!

1/ OpenAI just launched GPT-5.4 Pro, their premium model at 12x the API cost of standard GPT-5.4. $30/M input tokens, $180/M output vs. $2.50/$15. I ran TaxCalcBench on Pro. The result: exactly tied with standard GPT-5.4 12x the price, 0% improvement But the full story is more nuanced:

3/ This is the inference scaling story in one chart. You can either pay 12x more for a model that's better "out of the box", or give the cheaper model a bigger thinking budget and get the same result. For tax computation, thinking time fully substitutes for model premium. The ceiling is the same.

1/ The rivalry between OpenAI & Anthropic continues: GPT 5.4 is now the best model in the world at filing taxes (better than Opus 4.6)! We Just ran TaxCalcBench on GPT-5.4. 56.86% of tax returns computed perfectly. That's #1 overall: the first model to break 55%, surpassing Claude Opus 4.6 (52.94%). OpenAI reclaims the top spot. Updated leaderboard:

3/ Some context on what just happened: Medium thinking GPT-5.4 matches Gemini 3.1 Pro's best result (49.02%) exactly. But high thinking adds another 8 points on top. This is the biggest single-model jump we've seen from a thinking level increase. Compute allocation matters a lot here.