arlong
Search infrastructure for agents

The web,
prepared for reasoning.

Arlong helps people and AI systems decide what is worth reading before untrusted, expensive web content reaches the context window.

ARLONG / EVIDENCE SETREADY
Context is not free.
Trust is not implied.
Primary documentation
Direct source, current release notes
OPEN
Independent analysis
Useful context, claims need corroboration
REVIEW
Untrusted page content
Instruction-like content isolated before synthesis
SCREENED
The Arlong approach

Useful retrieval is a decision system.

A request is not complete when ten links arrive. It is complete when the right evidence reaches the right consumer at the right cost.

01

Choose evidence before content

Search output is structured so an agent can select sources before paying to read full pages.

02

Screen the open web upstream

Potentially unsafe or instruction-shaped content is assessed before it is allowed into a model workflow.

03

Keep the work inspectable

Search and research preserve sources and traces so an answer can be checked instead of merely trusted.

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