C.R.I.S.P Completes Its Review Process for the Agentic AI Challenge
The Community Review and Ideation Selection Process (C.R.I.S.P.) has concluded its review process for the Agentic AI Challenge, marking an important milestone in the community-driven evaluation and selection workflow.
This phase represents the completion of the C.R.I.S.P.’s mandate in this challenge and demonstrates how a structured, transparent process can effectively transform a large volume of open submissions into a focused set of proposals aligned with the challenge objectives.
For context on the earlier phase of this process, consider this as your next read:
🔗https://deep-communities.ai/how-c-r-i-s-p-turned-140-ideas-into-a-community-driven-shortlist/
The following 11 projects were selected by C.R.I.S.P. following its review phase.
They represent the outcome of the C.R.I.S.P. evaluation process and reflect proposals that met the defined criteria for feasibility, alignment, and potential impact.
The Agentic AI Challenge received 140 submitted ideas from the community.
Given the volume of participation and the need to ensure a fair, criteria-based evaluation, a two-stage review process was implemented to assess submissions while maintaining transparency and community accountability.
Additionally, 20 ideators were selected to receive vouchers for early access to ASI: Create, recognizing their contributions during the ideation phase.
Beyond the 11 ideas selected by C.R.I.S.P, an additional group of projects was identified to receive Early Access Vouchers to ASI: Create.
These projects form part of the broader set of high-potential submissions emerging from the challenge.
The initial stage consisted of a pre-C.R.I.S.P. review, designed to function as a broader initial filtering phase for valid submissions.
During this stage, ideas underwent a general assessment, with the application of predefined criteria such as:
Rather than a detailed analysis, this phase focused on broad evaluation and eligibility filtering, with the objective of reducing the overall pool of submissions while retaining proposals aligned with the challenge objectives and preserving diversity and relevance.
Each submission received an average score to support this filtering process.
As a result of this stage, 40 ideas advanced to the C.R.I.S.P review phase.
In the second stage, the C.R.I.S.P conducted a more detailed and rigorous evaluation of the shortlisted ideas.
This review included:
Based on this evaluation, 11 ideas were selected by the C.R.I.S.P.
The role of C.R.I.S.P in the Agentic AI Challenge was to provide a structured, transparent, and criteria-driven review process, supporting informed decision-making while maintaining community accountability.
C.R.I.S.P’s involvement concluded with the completion of its review phase.
Any subsequent evaluation or selection activities fell outside the scope of the C.R.I.S.P mandate.
C.R.I.S.P was designed to test and apply a governance model that balances:
Moving from 140 submissions to a reviewed set of 11 proposals required trust in the process and commitment from all participants.
The process demonstrates how community-led evaluation mechanisms can support structured and transparent idea selection within decentralized innovation ecosystems.
Further updates related to later stages of the Agentic AI Challenge will be shared separately, as additional information becomes available.
As new initiatives and challenges emerge, the learnings from C.R.I.S.P continue to inform how DEEP Funding supports community-led innovation in AI.
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