How the AI learns your taste

Forkboard starts from the little you tell it at setup, then gets sharper from what you actually eat. There's no long quiz on purpose — your ratings teach the board far more than a setup screen ever could, and they keep teaching it every week.

A meal card with thumbs up and thumbs down feeding into the next week's board. — It refines from what you actually rate.

The three signals you send

Every dinner card carries a small rating bar. The way you use it quietly shapes what comes next:

A thumbs up nudges future plans toward that kind of meal — its cuisine, its style, its level of effort.
A thumbs down steers the board away from it.
Swapping a night out sends a quiet negative signal too, even if you never touch a thumb. The board reads it as 'not this one' and leans elsewhere.

You don't have to rate everything. A few honest votes a week are plenty, and you can always change your mind — tap the other thumb to flip it, or tap the active thumb again to clear it.

What the next plan is built from

When Forkboard drafts your week, it works from your household's food picture — nothing more. That picture is:

Your cuisines, your avoid list, and any dietary patterns or allergens.
Your kitchen settings — skill, equipment, weekday and weekend time, serving size, units.
What's in your pantry.
Your household's recent ratings — the meal titles and notes from the last 90 days, so the board has a sense of what's been landing lately rather than a year ago.

Add a short note when you rate and it carries weight: 'too spicy for the kids' or 'make this again' tells the board the why, not just the verdict. Notes stay short, up to 280 characters.

What it never sees

The planner is built only from food preferences, ratings, and your pantry. It never receives your name, your email, or any billing detail — those simply aren't part of how a plan is made.

Your data is never used to train AI models, and it is never sold. It exists to plan your dinners, and that's the whole of it.