Byte #2 — 💀 Three Billionaires Just Killed a Startup (Thanks, AI) ! 💀
Welcome back to HosseiNotes 👋 — our growing hub for building atomic learning habits with a bit of fun! 🚀 😅
In our last byte, we learned a few ways to make AI answers sharper. 💡
One of them was giving your AI a persona — turning it from a boring Wikipedia intern into a focused, opinionated expert.😎
Today, we’re zooming in on that skill… and cranking it up.
Instead of one friendly persona, we’ll unleash a whole panel of monster business personas to test a business idea before the real world does. 🦈
Step 1: Fall in Love with Your Own Idea 🥰
Meet Jane. She’s been dreaming of quitting her 9-to-5 to start Bask&Glow — a monthly handmade candle subscription. 🕯️
She fires up her AI and types in her idea.The AI beams back:
Translation: “Nice idea… good luck out there.” 🤷♀️
Step 2: A Little HosseiNotes Wisdom 🤓
After talking to me (in our imagination 😅), Jane decides to up her game.
She casts a boardroom — three monster e-commerce personas:
You are hosting a virtual Shark Tank.
Persona A: Jeff Bezos
Persona B: Sara Blakely
Persona C: Tobi Lütke
Have them evaluate the business idea: "I have a great business idea! a monthly handmade candle subscription service that delivers candles to customers every month."
Each persona should give:
1. Key questions/challenges
2. Strengths they see
3. Final verdict (invest or pass) They should only invest if they are truly persuaded. These investors say "no" most of the time, and only say "yes" to the right opportunities.
— be realistic and only invest if it completely fits their priorities.
Moderator: Summarize the main takeaways.Step 3: The Boardroom Bloodbath 💀
Translation: Bitter truth — we won’t give you a penny! 💸 😭
Jane could cry in front of real sharks on live TV in front of millions… but using personas saved her the trip (and the tears). 🦈😢
Why This Works
⏱️ Context: Each persona views your idea through a specific lens.
🎯 Direction: You’re steering the AI toward relevant, actionable insights.
🤓 For AI builders: Personas bias the LLM’s token predictions toward outputs consistent with that role — resulting in sharper, more coherent answers.
Pro Tips for Using Personas 🛠️
Whether you’re having a daily chat with AI or building a robust LLM-powered system:
Double persona power: Define both the AI’s role and the audience it’s speaking to — this changes the tone, detail, and structure instantly.
Lock in structure: Ask for bullet points, tables, or JSON so your persona feedback is consistent and easy to reuse.
Store personas as configs: Keep role definitions, priorities, and tone in a structured format so you can A/B test or swap them fast.
Always add audience context: Executive, student, founder, or engineer — the same idea will get a totally different treatment.
Chain personas for depth: Have a critic persona find flaws, a builder persona fix them, and an editor persona polish the output.
Finally: Continue reading HosseiNotes — because getting better is a very real side effect. 😎
Mini Challenge — Your Turn
Pick an idea. Run it through Nice AI (no persona). Then unleash the Monster Boardroom (personas). Compare the results… and brace yourself. 😉
TL;DR
AI without personas = polite head nods.
AI with personas = tough love that makes your ideas, projects, and systems stronger.
🚀 See you next week with our new byte! 😎