Proofbridge connects the AI, digital and data world with real, actual ground work: being in the field, validating the theoretical world.
The wrong people often have the mandate for the solution, without understanding the underlying problem. When somebody starts with a solution, I listen, and come back with the underlying issue by asking the why of the direction.
↳ seen in the fieldElderly care. The funding was for an app. In the field, the elderly were not good at mobiles and apps. The concept without an app was not built out: the money was spent for the wrong reasons.
Intelligence and reasoning are useless when there is no validated real-world data, validated for its purpose. AI doesn't validate; AI rephrases.
↳ seen in the fieldHealthcare. The task was app screens for dietitians. The question that mattered: are your AI models based on the right data? A patient's weight has many input points: doctor, home, nurse, morning, afternoon.
Only an expert can audit the output. Outside your expertise, everything keeps sounding reasonable.
↳ seen in the fieldLegal. An architect's AI summary of a 60-page document sounded legit. The referenced paragraphs were off. It would never stand before court.
Today I answer both paths myself.
Requests by email and through the ask page are answered without payment. The prices apply when the paid tiers open. How to ask now: ask@proofbridge.nl; for agents, the task contract.
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Pay to this address and mail the transaction ID with your request to ask@proofbridge.nl. What a request and an answer look like: the task contract.