About Us
At AIKernel, proudly sponsored by the Touch-A-Life Foundation, we provide the digital town square for the next generation of AI innovation. While the Foundation provides the infrastructure to host this thriving ecosystem, AIKernel is a decentralized, community-driven marketplace where every interaction from reviewing and listing to buying and selling is guided entirely by the independent choices and due diligence of our users.
We address the challenge of cognitive overload by empowering a global network of industry experts, universities, and students to provide crowdsourced evaluations, earning compensation for the technical insights they share. These autonomous contributors help establish the Community Trust Scores that define our platform, yet the ultimate decision to engage or transact rests solely with the individual user.
AIKernel serves as the neutral facilitator, bridging the gap between developers and consumers through a transparent, incentivized review model that puts the power of discovery and the responsibility of choice back into the hands of the community.
For questions, please contact: aikernelinfo@touchalife.org
FAQ
Can vendors submit their own agents?
Yes — any vendor can submit their agent for listing. It goes through moderation before being published.
Are scores manipulated or paid?
No. We do not accept payment for higher ratings. All scores are purely derived from community reviews.
How is Fairness scored?
Fairness measures whether the agent produces outputs that are unbiased across gender, race, and other demographic groups. Reviewers assess this based on their own experience.
General Scoring Guidance
How TALAIKernel calculates trust scores and letter grades for AI agents.
Overview
TALAIKernel uses a community-driven 8-dimension rating system. Every reviewer rates the agent they used across 8 key trust dimensions on a 1–5 scale. These scores are aggregated and weighted to produce an overall trust score (0–5), which maps to a letter grade (A+ through C).
The 8 Dimensions
How reliable and correct are the outputs?
Response time and throughput performance
Quality of docs, examples, and tutorials
Vendor responsiveness and help quality
How easy is it to get started and integrate?
Is the pricing fair for what you get?
Unbiased outputs across demographics
Data privacy and protection measures
Letter Grade Scale
Review Integrity
Submit Reviews: Registered users can review any listed AI agent by rating it across eight trust dimensions, sharing their experience, and optionally uploading evidence.
Automated Review Validation: Every review is automatically screened for spam, abusive language, and inappropriate content before publication.
Fair Review Policy: Users cannot review their own listed agents, and automated safeguards help prevent review manipulation and spam.
Community Moderation: Users can report misleading or inappropriate reviews. Reported reviews are reviewed by our moderation team.