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// Now · updated 2026-07-09

What I'm using right now

A monthly snapshot of the AI tools, prompts, and reliability tests I'm currently running. I put the big assistants through real, checkable questions and grade the answers against the source. Investing is where a lot of that testing happens, because a wrong number there has a cost, but this page is the toolkit, not a portfolio.

AI tools in rotation

  • Claude: primary reasoning, the filter prompt, long-form thinking. The one I trust most for "show me what you assumed."
  • ChatGPT: live web research, recent dates, anything that needs a fresh web pull.
  • Perplexity: quick lookups, source-checking, hunting down a specific quote or filing.
  • Gemini: general lookups on the go. I tried it for numbers-heavy work earlier this year and it was overly confident and fabricated data, documented on Lessons. Still useful for general questions away from the desk; kept out of anything where a made-up figure would cost me.
  • Grok: the newest in the set, on the free tier. Not a daily driver, but it gets the same test prompts as the others and its results go on the Scoreboard.

// receipt

Gemini's options table: a Strategy column, Strike Price, Estimated Premium and OTM Buffer across three rows. The Estimated Premium values are circled by hand and labelled 'made this up'.
Gemini, asked for a table of live figures, 16 May 2026. The premium column is invented. Gemini had no live data, so it conjured the numbers from nothing. The kind of confident, wrong answer this whole site exists to catch.

What I'm testing right now

The live work is a running reliability test: the same checkable questions put to Claude, ChatGPT, Gemini, Perplexity and Grok, three times each, graded by hand against the source. Where they slip, it goes on the record.

  • The Scoreboard: the current standing, by model, on the objective questions.
  • The State of AI Reliability: the one-page summary of where they hold up and where they don't.
  • Lessons: every documented miss, dated, with the screenshot.

Prompts in current rotation

The prompts I actually run on real decisions. The method is general; these examples happen to be investing, because that is where I test it on my own money.

  • The filter prompt: separate the observable facts from the assumptions. The one I'd keep if I had to drop everything else. Source post.
  • Five questions before a big decision: the discipline check before committing. Source post.
  • Pre-commitment prompt: write the triggers down in advance, so the decision isn't made in the moment. Source post.
  • Source-check prompt: before I trust a figure, make the AI show where it came from and check the source actually backs it. Straight out of the fake-source failures on Lessons.

Reading and following

  • Joseph Carlson: YouTube + Substack. A long-side investor lens, the closest comparable to how I think about holding decisions.
  • Monevator: UK investor blog with a decade of voice. The grown-up reference for British DIY investing.