Proof of Usefulness Report

Adept.AI

Analysis completed on 1/5/2026

+728
Proof of Usefulness Score
Category Standard

Adept.AI is a high-profile 'Agentic AI' unicorn founded by the co-authors of the Transformer architecture. While the submission contains informal and exaggerated claims (e.g., 'most people have used my product'), the underlying technology is industry-leading. The project recently underwent a significant restructuring where Amazon licensed the technology and hired the co-founders, leaving Adept as a smaller independent entity. Despite the operational uncertainty, the $1B+ historical valuation and technical pedigree justify a high score, though user reach for the specific 'Adept' tool is significantly lower than the claimed 'everyone'.

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Score Breakdown

Real World Utility+225
Audience Reach Impact+112
Technical Innovation+205
Evidence Of Traction+180
Market Timing Relevance+95
Functional Completeness+10
Subtotal+827
Usefulness Multiplierx0.88 (Adjustment for post-acquisition uncertainty)
Final Score+728

Project Details

Project URL
adept.ai
Description
We're building the most useful AI collaborator for everyone via a natural language interface for all software tools. This requires pushing the frontier of generally capable ML models—and we’re assembling the best people in the industry to do it. Our founding team includes leaders from Google, DeepMind, and OpenAI whose research has enabled groundbreaking applications in search, natural language understanding, translation, and code generation, such as the Transformer and GPTs.\n\nCheck out https://www.adept.ai/act
Audience Reach
everyone
Target Users
everyone
Technologies
Machine Learning, Generative Ai, Software Development
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline