Install beside the agent
Start with a hook or skill in the environment where work already happens.
Private research preview
Give your agent a question layer.
Crux installs where your agent already runs. Before it commits, Crux surfaces the gap between what the agent assumes and what the work actually requires—then asks the smallest useful question.
One engine, different jobs
Start at your altitude.
Crux changes its interface and vocabulary for the work in front of you. The underlying loop stays the same: expose uncertainty, ask, update, act, and learn.
Product managers · Solution architects
Turn ambiguity into a buildable, testable plan.
Connect goals, requirements, architecture, tickets, and evidence. Let Crux catch the consequential assumption before it becomes rework.
Consultants · MBAs · AI users
Get to the decision beneath the document.
Use your existing AI tools for diligence, strategy, and client work while Crux asks what would actually change the recommendation.
What exists now
Integration first.
V1 uses the mechanisms agent tools already expose—hooks, skills, plugins, and MCP—so teams can experience better questions without moving into another workspace.
Detect the missing decision
Compare the goal, available evidence, and proposed action for a material gap.
Ask only what changes the plan
Route one high-value question to the person who can answer it.
Carry the answer forward
Update the artifact, preserve the decision, and evaluate the outcome.
Questions before actions
Hooks and skills that surface hidden requirements, tradeoffs, and success criteria inside existing agent workflows.
Mechanistic signals and bounded steering
Open-model research asks whether internal state can make the ask, act, or halt decision more precise. It is experimental—not a feature claim for the current preview.
Bring one consequential workflow
Find the question it turns on.
Private-preview access is provisioned manually. Founder-led deployments are available for teams that want a custom integration and measured learning loop.