CONTEXT ENGINEERING, MADE VISIBLE

Give the model
less to guess.

A question becomes a clear task, a scoped data reference, and a checked finding.
Follow what changes—one step at a time.

Illustrated example · no live model
One step. Two views.

1 of 7 · Question

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THE DESIGN BEHIND THE STORY

Each layer has one job.

The host connects them. The model gets the context needed for its next decision.

Describe & retain

Your provider adapter declares the source, units, scope and limits. A configured store retains the data and resolves authorized references.

Data references →

Prepare & act

AgentFootprint coordinates skills, tools and model calls. The host can serve compact current context while backend tools do the calculations.

Skills and disclosure →

Compare & validate

ContextFootprint identifies conflicting assertions. Your host sets the response policy and the checks required before an answer is delivered.

Context integrity →

LESS GUESSWORK. CLEAR LIMITS.

Better context is a design choice.

Moving scope, calculation and value checks into code gives the model a smaller decision to make. Whether that improves a smaller model’s accuracy or cost must be measured on your tasks.

Does “checked” mean every statement is true?

No. ContextFootprint compares supplied, comparable assertions. Missing data, unknown values and different revisions can produce no conflict without supporting a claim. Structured answer validation checks the contract you configured; it does not verify arbitrary prose.

Who decides to pause, repair or ask a question?

The host policy does. AgentFootprint’s claims diagnostics and opt-in answerValidation have different roles: final delivery enforcement must be configured. The one-attempt repair shown here is example host logic, not a built-in retry loop.

Can this work without a dashboard?

Yes. Data references and backend operations do not require a visual interface. A store and authorized resolver are required; a reference is not permission to fetch a dataset. A dashboard can use those same operations when the application supplies the integration.

Is this a real model run?

No. The data and model proposals are invented to make the mechanism visible. The conflicting values reproduce the shape checked by the local comparator example. The walkthrough does not measure tokens, accuracy or causal diagnosis.

Follow the context. Inspect the decision.

Explore a debugging walkthrough →