Freshness
Determine whether a source is current enough for the task at hand.
In development
Verified context for AI agents.
enfer.ai is the truth layer between agents and the open web. Evaluate freshness, evidence, and contradiction risk before retrieved context becomes confident output.
Working with a small group of design partners.
Problem
Search is not ground truth.
Search gives agents more context, but not necessarily better context. A retrieved page can be relevant and still be old, biased, promotional, copied, or wrong. Once it enters a model window, an agent reasons on it like truth.
The layer
Context should be checked before it is trusted.
Source quality
Distinguish primary evidence from promotional, thin, or copied material.
Claim support
Trace important claims back to evidence that can be inspected.
Contradiction risk
Find better sources that disagree before output is delivered.
Early access
For teams whose context has consequences.
We are speaking with teams building agents, retrieval infrastructure, research tools, and AI workflows where source quality determines whether a system can be trusted.
Bring reliable context into your agent workflow.
Request access, arrange a conversation, or contact Emil directly about becoming a design partner.