Managed AI execution
Give AI the work.
Get back a verified result.
Compress chooses the model, prepares the right context, runs the job in a private cloud workspace, and returns the result with tool activity, cost, and checks attached.
Illustrative workflow. The task, changed-file count, and verification status below are staged examples.
Objective
Fix the onboarding step that blocks activation.
Context
Repository mapped
Relevant files ranked
Model
Quality floor met
Approved route selected
Workspace
Private and isolated
Controlled tools only
Result
verifiedOne accountable run
You define the outcome. Compress handles the execution.
No model shopping, provider setup, context dumping, or mystery agent session. Every run follows the same visible path.
Define the outcome
Send the objective, repository, relevant context, and the boundaries the agent must respect.
Compress runs the work
A private workspace maps the repository, selects an approved model, and gives the agent controlled tools.
Review verified output
Receive the changed files, tool record, test result, token usage, and cost before anything is committed.
The control layer
The complexity stays behind one clear request.
Compress makes the routing, context, attribution, and observability decisions that teams should not rebuild for every AI workflow.
Route
The right model for the job
Set a quality floor and approved providers. Compress selects a qualifying model for every request.
Compress
More useful context, fewer tokens
Repeated context is reduced when it is safe and useful. Requests stay unchanged when compression would not help.
Attribute
Every request has an owner
Tag work by team, customer, feature, environment, or integration so usage and cost remain explainable.
Observe
See the full run
Review model choice, token usage, tool activity, cost, output, and verification from one record.
Cloud coding agent
Send the brief. Review the code and the proof.
Compress turns an approved objective into a private coding run. It maps the repository, uses controlled tools, verifies the change, and returns an artifact your team can inspect before committing.
Illustrative review package. This preview shows the output format; it is not a recorded customer result.
Approved brief
Increase workspace connection completion.
Fix the onboarding blocker. Preserve authentication and billing. Verify the completion event before returning the change.
Review package
checks passedRepository map
The right files and symbols were ranked before execution.
Change set
The edited files and diff are ready for review.
Verification
The exact test command and output are attached.
Run ledger
Model, tools, tokens, and cost remain traceable.
Start with one real job