Path: photo
Start with the plate.
When the meal is visible, photo capture is the fastest way in. ForkYa! keeps the review surface close so users can adjust what matters before saving.
How it works
Choose the path that matches the meal.
ForkYa! is built around entry points, not a rigid sequence: photo, describe, barcode, label, or search. Once the food is captured, the app helps users review the estimate, save the log, and use Coach with the context they created.
Path: describe
Describe when a photo is not enough.
Use plain language for portions, sauces, substitutions, or a whole meal when talking is faster than tapping through fields.
Path: barcode + label
Packaged food has its own route.
Use barcode when the product is known, or nutrition label scanning when the facts panel is the best source.
After logging
Save the meal, then use the context.
Once the meal is saved, the day view and Coach can use that context to help with the next decision.
Optional context
Add bloodwork when food data is not enough.
Uploaded lab reports can become organized marker context, so Coach can consider confirmed bloodwork categories alongside meals, goals, and trends when users ask follow-up questions.
