System One ENGINEGIVE JEV A USEFUL PART OF THE TASK
A tool choice. A shorter reading list.
A palette that fits the brief.
System One helps you define the small decisions your agent repeats and make them available through MCP or an API. Start with a question you can verify, then measure what changes in the complete task.
START WITH THE OUTCOME
Each use case links to a current recipe and its evidence. The value depends on your workflow; the confidence rating describes the research behind it.
Find the code responsible for a form submitting twice.
Jev selects from the available tool descriptions. The agent supplies the arguments and runs the tool.
Give a repeated routing choice to a small model and keep the main agent on the repair.
Search found several files. Which ones explain this bug?
Jev rates the retrieved passages against the task. The original passages stay available for review.
Reduce irrelevant context before the next reasoning step.
Does this tool output support the claim that the release is live?
Jev checks the statement against supplied evidence and separates contradiction from missing information.
Catch an unsupported conclusion before it becomes an answer or another action.
Choose a calm palette for a coastal reading app.
Jev compares your described palettes with the brief. The agent applies the chosen tokens and checks contrast in code.
Reuse a selection recipe for design choices with a clear brief and a defined set of options.
Find a compact desk lamp with warm light and no subscription.
Jev compares the supplied item descriptions and returns a candidate or a reason to review the choice.
Match natural language to an existing catalog without generating an item that does not exist.
The service is running, but requests still fail. What should we inspect next?
Jev chooses among the checks the agent can actually run, using the symptoms already collected.
Make the next investigation step explicit. Compare it with a fixed diagnostic sequence.
Does this description explain what the product does without vague claims?
Jev evaluates named writing rules. The writing agent keeps responsibility for the revision.
Reuse a focused editorial check across drafts.
Keep the failed attempt that explains why we changed direction.
Jev evaluates candidate memories against the current task. The caller keeps originals and uncertain items.
Prioritize useful history for later context. Test whether the agent can still recover omitted details.
Which service and issue category best fit this incident?
Jev follows the supplied category hierarchy within a call budget and returns ambiguous paths for review.
Reach a category that a short flat list would leave out. Account for the extra calls.
Which records in this diagnostic bundle need a closer look?
Jev helps prioritize supplied records while protected errors and uncertain results stay eligible for inspection.
Test against simple severity rules first. Our conservative log study increased the modeled bill.
HOW IT FITS THE WORK
Supply the task, relevant evidence and available answers. The agent reviews the result and takes the next action.
ILLUSTRATIVE FLOW · NO LIVE MODEL CALL
Repository search, web search or the test runner?
repository_searchA typed result from defined options.
The calling agent reviews the result.
A bounded tool choice can replace a longer routing step.
Explore this recipeSeveral retrieved passages; only some discuss the event handlers.
keep: event handlersA typed result from defined options.
The calling agent reviews the result.
Less irrelevant text goes into the next reasoning step.
Explore this recipeThe command returned 22 passes and one failure.
claim: contradictedA typed result from defined options.
The calling agent reviews the result.
A short evidence check can catch a misleading completion report.
Explore this recipeThree described palettes: cobalt, warm clay and sea glass.
palette: sea glassA typed result from defined options.
The calling agent reviews the result.
Match a brief against your own options without generating a new palette.
Explore this recipeWORKING IMPLEMENTATIONS
The browser companion and The Infinite Parable show how an application supplies context, uses Jev's answer and keeps control of the result.
A dedicated browser supplies accessible controls and current values. Jev chooses a small next step; the companion returns a screenshot and trace for the agent to review.
Recorded form runs and six accessibility decision cases are published with their failures and limits.
Explore the computer-use implementation ↗The game supplies eligible recordings and scene context. System One can recommend a cue or silence. The game retains cue history, spacing and playback authority.
An authored-dialogue integration. An independent playthrough study has not established an experience improvement.
Explore the dialogue implementation ↗MEASURE THE COMPLETE TASK
A smaller decision model can reduce the work left for the main agent. It also adds a request. Compare final task quality, elapsed time, total model usage and work returned for review.
System One records each decision's usage and timing. System One Bench keeps the examples, findings, confidence ratings and tests behind the use cases.
YOUR FIRST DECISION
Try a recipe with your own evidence through the invited cloud preview or your local engine.