agent-readiness

# /agent-readiness Salim Ismail's EXO 3.0 diagnostic, made runnable: score a piece of work on its **coordination-vs-judgment ratio**. Coordination work — routing information, approvals, scheduling, status tracking, prescriptive/standardized steps — is what AI agents do best, so it's *agent-ready*. Judgment work — resolving ambiguity, handling exceptions, navigating relationships, making a call with no playbook — should stay with (or escalate to) humans. ## When to use - Before delegating a task/workflow to an agent — is it actually a good candidate? - When deciding whether a process should be fully automated, agent-with-oversight, hybrid, or kept human-led. - When mapping which of your workflows a small team + agents could rebuild first (Salim: "every task that scores high on coordination has agent readiness"). ## How Score a task: ```bash curl -X POST -H "Authorization: Bearer $AUTH" -H 'Content-Type: application/json' \ -d '{"task":{"name":"Invoice intake","description":"Route invoices, schedule approvals, track status, compile a weekly report, notify owners."}}' \ http://localhost:${INSTAR_PORT:-4042}/agent-readiness/score ``` Score a workflow (by its steps): ```bash curl -X POST -H "Authorization: Bearer $AUTH" -H 'Content-Type: application/json' \ -d '{"workflow":{"steps":["Fetch the record","Assign accounts","Schedule orientation","Update the tracker"]}}' \ http://localhost:${INSTAR_PORT:-4042}/agent-readiness/score ``` Returns: ```json { "coordinat...