Andrew Miles Davis gives his most direct verdict yet on the five large language models he pays for, covering ChatGPT, Claude, Copilot, Gemini, and Perplexity with an honest breakdown of what each one does well, where each one falls short, and when he actually reaches for it during a working day. He explains why ChatGPT remains his default despite its tendency to agree with him too much, why Claude is the one AI practitioners tend to name as their top choice but still frustrates him with its memory inconsistency, why Gemini's surrounding ecosystem is more impressive than the model itself, how Copilot has won him over this year through deep work with corporate clients, and why Perplexity is his first stop for any question where he needs a trustworthy answer. The episode closes with a conclusion worth sitting with: there is no single best large language model, only the best one for the specific job in front of you. Subscribe to In AI Nutshell for daily ten-minute AI insight from someone using all of these tools in real client work every day.
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