2026 1

Where Enterprise AI is headed

A podcast host sent me eight questions. Instead of rehearsing answers in my head, I used ChatGPT with Local MCP to read 6 months of call transcripts and find the best examples: Iteration 1: Here are questions I have been asked to answer in a podcast. Help me prepare with examples. For each question, go through my transcripts or emails and find examples relevant to the question and share (for each relevant example) a summary, how it’s relevant, and the relevant verbatim quotes from the transcript. Iteration 2: Mention WHO said it. Emphasize the most important parts. Do a second pass. More examples. Disprove your own hypotheses with evidence to the contrary and retain what remains robust. Iteration 3: Do a third pass. Find more real-life examples. Try and disprove yourself even harder. Share the best examples for what survives - not all. Same format. Iteration 4: Ensure diversity of client examples. For example, in Q2, all three are the same client. Extend to add / replace examples - ideally with better ones. Then I used Claude with examples of my writing style to summarize it in my voice. ...

2024 1

AI Coding: $12M return for $240K spend?

This is an email I sent to our leadership team a few minutes ago. We may be witnessing the third major leap in computing productivity, after high-level languages in the 1960s and spreadsheets in the 1980s In the last few weeks, AI coding really took off. Cursor, Cody, Replit Agents are FAR better than GitHub Copilot. Research on ~5,000 devs in Fortune 100 shows that even GitHub Copilot makes them ~25% more productive. ...

2006 1

Return on effort

If you have a bunch of projects you could do, and want to decide which ones to take up, I was taught a rule: if a project has positive net present value, do it. That is, find out how much money you have to put in (& when), and how much you’ll get out (& when). Adjust for money today being worth more than money tomorrow. If it makes a profit, just do it. ...