• LTSP26

Bring a Real Case for the Persona

A generic prompt gets a generic response — even from a well-built AI persona. Francis Wade argues the single most valuable thing to bring to LTSP26 isn't more attention, it's one real, current strategic problem. Petra, a strategy consultant, arrives with a vague goal like "grow more sustainably" and gets trend-slop back, not because the persona failed, but because she gave it nothing specific to interrogate. Unlike spoken conversation, which forgives vagueness through tone and body language, persona-driven interaction takes words literally — vague input produces vague output every time. Francis's own experience with Landmark Education illustrates the alternative: being pushed to define exactly what mattered, rather than staying comfortable with generalities. The five-step fix: name a real company and current challenge, make it specific and measurable, add insider context a stranger wouldn't know, gather supporting data, and define what a useful Monday-morning output would actually look like. Timestamps: 00:01:58 Petra, a strategy consultant, brought a vague goal like "grow more sustainably" and got a generic, trend-slop answer straight back 00:05:42 Spoken conversation forgives vagueness through tone and body language, but persona-driven interaction takes words literally, so vague input stays vague 00:10:12 Francis's own Landmark Education experience showed the value of being pushed to define exactly what mattered, not staying comfortably general 00:12:58 Step one of real preparation: pick an actual company and a current strategic issue, not a hypothetical or invented scenario 00:17:34 The final prep step: define what a genuinely useful Monday-morning output would look like before the conversation even starts Read More

• 20 min
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