indiehackersprototyping
Abandon a handwritten-math tool when recognition is too unreliable
At a glance
A developer stopped a GPT-4V math error-book prototype after testing handwritten input. This workflow is listed under prototyping, handwriting-recognition, learning-tools, failure-case.
- Agents / tools
- GPT-4V
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What they did
As part of a short project sprint, the developer built a tool that accepted photographs of handwritten math and attempted step-by-step solutions. They evaluated whether the recognition was reliable enough for an error-book workflow.
How it went
The author estimates recognition accuracy at 60 to 70 percent and says the project was abandoned after two days.
Worth knowing
The percentage is the developer's own estimate, without a described benchmark dataset.
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