Workbench
Mission, high-level thinking, cross-system priorities, approvals, and what is owed to each stakeholder.
Alex's AI Operating System
Turn diverse inputs into stakeholder-specific output, learn from the response, and compound judgment on a model-neutral foundation.
Mission, high-level thinking, cross-system priorities, approvals, and what is owed to each stakeholder.
Human-agent rooms, presence, handoffs, and an attributable activity trail.
People, organizations, projects, concepts, source pointers, and authorized exact raw-record retrieval.
Tom, Barb, and every specialist keep their own working contract, scoped judgment, and approved lessons.
Start by shaping an open question into a decision, then invoke the trusted procedure for the work.
The real hands-on environment. Authorized agents open terminals, inspect evidence, build, test, and produce VIP work here.
One discrete, repo-bound deliverable with acceptance criteria, blockers, technical history, and completion.
Source code and isolated changes. Worktrees exist for outcomes, not people or permanent categories.
The useful thing someone receives, not another summary of the work.
What happened in the real world becomes evidence. Approved lessons improve the relevant G-Brain and workflow.
The outcome links to authorized source evidence so the right agent can check the record instead of trusting metadata.