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AI Workflow4 min readFebruary 6, 2026

What if AI could give you 10x better answers, with zero extra effort?

From planning a Japan trip to making startup hiring decisions.

Japan trip planning with AI context
Context transforms generic AI into a personalized advisor

Let me show you with a Japan trip example. But this applies to hiring, strategy, everything.

I used to ask ChatGPT: "Best hostels in Tokyo?"
Got Top 10 lists. Generic advice.

I'd add context. "I like quiet places, good coffee nearby..."
Next chat? Gone. Long chat? AI gets lost.

Then I tried something different.

The power of context folders

Same question: "Best hostels in Tokyo?"

Completely different answer:
Nui Hostel. Kuramae. Rooftop. ¥3,800. Near Blue Bottle.

AI without context gives you generic answers. AI with your context gives you your answers.

How did AI know I like quiet places? Specialty coffee? Rooftops?

Because my /japan-trip folder told it:

  • preferences.md (quiet hostels, pescetarian, specialty coffee)
  • budget.md (¥15,000/day)
  • bookings.md (JR Pass expires day 14)
10x Better Context visualization
One command. Full context. Personalized answers.

One command. It read everything. Knew me better than I expected.

Applying it to startups

Same thing happened with my startup.

"Should we hire a designer now?"

My /company folder has our runway, our team gaps, our past decisions.

AI came back: "Not yet. 8 months runway. Prioritize revenue. Hire at €600k."

That's the answer I would've given myself. But it took me 3 seconds instead of 3 hours of overthinking.

The learning happens along the way

These folders live in GitHub. New laptop? Clone repo. Full context restored.

How did I figure this out? Trial and error. Lots of "dumb" questions that led somewhere useful.

The principle

The difference is not the model. It is the input. Give any AI your context and it stops being a search bar and starts being an advisor.

That's the real trick: just start. Pick any AI that can read your files. The learning happens along the way.