Skip to content
distilligentLet’s talk

OPEN Toronto · AI for Everybody · October 10, 2026

From napkin to working thing.

Founder Izza Masud spoke at OPEN Toronto’s AI for Everybody about what AI changes about taking a chance—and what still has to stay human.

See three ideas from the talk
Founder Izza Masud on the title slide of From Napkin to Working Thing, with the MindSpc logo
AI for EverybodyTake one chance. Make it cheap. Make it honest.

Thirty seconds of context

A room of people who run real work.

AI for Everybody brought together people from accounting, law, real estate, healthcare and industry. Most were at the start of their AI journey: curious, careful, and short on time.

The talk’s argument was simple. Testing an idea used to cost a team and a budget. Today the first honest test can be cheap—if you build it with checks around it, keep people accountable for the judgment, and never mistake a fluent answer for a verified one.

From the slides

Three ideas from the talk.

The napkin was always cheap. The first honest test was not. Now it can be.

The cost of finding out has changed: $20 to $0.07 per million tokens for GPT-3.5-level AI (Stanford AI Index 2025).
The cost of finding out has changed: $20 to $0.07 per million tokens for GPT-3.5-level AI (Stanford AI Index 2025).
Build a stack, not a prompt: sources, context, the model, checks, a gate, then the action.
Build a stack, not a prompt: sources, context, the model, checks, a gate, then the action.
Four checks before you trust the shortcut: sources, a realistic sample, the cleanup, and where the data lives.
Four checks before you trust the shortcut: sources, a realistic sample, the cleanup, and where the data lives.

What the room asked

The questions were the best part.

  • Where do I even start?
  • Can I use it with sensitive client information?
  • Which AI is which, and what is the difference between them?

What we did next

People asked for a place to start. So we made one.

Attendees received the takeaways and two skills they can paste into their own AI—one walks it through finding the right AI stack for their work, step by step. And the room’s questions shaped our new professional training: small rooms, lunch included, English and French available.

See professional training

From the closing slide

“Take one chance. Make it cheap. Make it honest.”

Bring the next thing that makes you say “why can’t it just…?” Write to us