AI Safety Review
Independent reporting on AI risks, incidents, and developments.
Recurring transparency problems can inform what people need explained. Editorial judgment remains independent of products, participation, and commercial support.
THE WIDER ECOSYSTEM
Useful on their own.
Stronger in conversation.
Research, community, and real-world adoption give Agenticert ways to learn from the field, reach relevant people, and keep its products grounded in real needs.
RESEARCH
A stronger basis for the questions.
AI Safety Models
Expert discussion and safer system design.
A space to challenge assumptions and inform clearer disclosure questions, visual conventions, and governance practices.
COMMUNITY
Stay close to people building AI.
VibeCodingJam
A community for people building AI products.
Practical feedback, demonstrations, and conversations can help test whether the products explain what builders and customers need.
AI Creators Fund
Connects creators with support opportunities.
Relationships with emerging projects can reveal where people need clearer ways to explain their AI systems.
REAL-WORLD ADOPTION
Learn from systems in use.
Real AI Agents
Tracks real-world agent deployments.
Deployment examples can reveal actual use cases, common dependencies, and where transparency is most needed.
Purpose before promotion.
These are potential reinforcing relationships, not evidence of customer adoption, partnerships, or product traction. Each website needs to serve a useful purpose independently.
THE PRODUCTS AT THE CENTER
Make systems and practices visible.
Flow explains how an AI system works. Transparency explains what the organization discloses about its practices.