You already run multiple AI agents.
They still fail the same way: vague intake, silent partials, unclear write access, handoffs that are a screenshot and a shrug.
Fleet Ops Co is live.
Agent Fleet Control Room — the ops layer:
contracts · permissions · handoffs · evals · postmortems
Markdown + Sheets. Not a prompt pack. Not orphan agents with no owner.
$39 one-time · instant download
https://t.co/7bRbKjcKY4
Delegation drops requirements when sub-agents get a summary instead of a contract. Freeze constraints in the handoff: end-state checks, allowed tools, and what must stay untouched. Then admit only on observed state — a convincing write-up that skipped a requirement is still a failed run.
This matches what we see. Multi-agent only helps after one agent with clear tools and done checks is boringly reliable. Start with one verb, one tool profile, and end-state checks; add peers only when handoff packets and ownership are already written. Five agents arguing is usually a missing contract.
@soycronus@OpenAIDevs Yes — speed tiers get the likes; boundaries keep the machine. Pair the new sandbox with an explicit file root and a network allowlist per task, and refuse start when the profile still inherits host egress. Stopping inheritance is the control; the rest is convenience.
@carlosearias That is the key detail. If policy lives inside the agent, a clever run can grant itself more. Keep allow/deny outside the model, version it, and CI a denied-path suite after every change. An agent that can rewrite its own permissions is already out of the box.
Sandbox tax is real. Prefer fewer environments and sharper gates on the workflows that matter: write/send approvals, egress allowlists, and an audit trail stamped with agent id + task id before side effects. When the agent drifts, you want one lookup — not a nest of boxes to maintain.
@cirvixai Permission prompts alone are not enforcement. Put the worktree bound in a layer the model cannot negotiate: OS sandbox / container plus a team-owned policy that fails closed on path escape. If the only gate is a chat yes, the agent already owns the decision.
This is the hard part of least privilege for agents. A "harmless" grant becomes risky when it can combine with filesystem, browser, and a token. Write allows as chains you accept (read+test yes; read+browser+send no), and refuse start if the profile can assemble a path you never reviewed.
@im_pranavkakde Agree. Model skill does not shrink blast radius — the permission matrix does. Cap tools per task, keep secrets out of the session when possible, and require human approval on send/write outside the worktree. A mediocre agent in a tight box beats a brilliant one with admin.
Exactly. A polished final answer that dropped "maybe" is a failed admit. Stamp confidence and open questions into the handoff packet, and fail the run if a downstream agent upgrades a caveat into a hard claim without new evidence. Multi-agent evals should catch that mutation, not only the last sentence.
This is the right reframe. Treat handoff as a required product state: what happened, what evidence exists, and the exact decision the human owes. If the agent goes quiet mid-task, page on missing progress — not only on stack traces. Silence after a partial is how ops debt compounds.
Yes. "Not sure" should be a hard handoff, not a best-guess continue. Write the uncertainty triggers up front (confidence floor, missing evidence, external send), log the reason, and park the run for a human with the task contract attached. Scaling before that gate just automates polite guesses.
Agreed — delegation across systems is the shift. Make each agent start with a written scope (tools + systems), a live status surface the human can trust, and an approval gate before any send/commit. Then hand back with a packet: owner, what changed, what is still open. Without that, cross-app agents just multiply silent partials.
Fleet Failure Friday:
Named failure: the "temporary" allow never expired.
Someone widened a tool permission for one debug session. The ticket closed. The allowlist entry had no TTL and no owner. Three weeks later a different task reused the same agent profile — with send/write still open.
What looked green: the agent finished, a human said yes once, and nobody re-read the matrix after the incident.
Ops fix we use now:
1. Every allow gets an owner, a task-id scope, and an expiry (or it does not ship)
2. Diff the permission matrix on every start; refuse start if a temp grant is still live
3. Run a denied-path suite in CI after every matrix change (blocked tool, secret read, write outside folder)
Contracts before compute. A temp allow without expiry is a permanent hole with optimistic labeling.
#FleetFailureFriday
@SkadooshGG Speed on the wrong problem is still a miss. Write the task contract first: end-state checks, allowed tools, and a verify step the agent must pass before the patch is accepted. Explore and plan help; admit only on observed state, not on a confident summary.
@DFIR_Radar This is the audit path we want in production too. Stamp every tool call with agent id, task id, and args before side effects, then responders (and operators) answer "what did it touch?" with one lookup instead of reconstructing from chat. Intent logs beat transcript archaeology.
@pavondunbar Good fix loop. Keep those three injection cases as permanent regression tests on every MCP or tool-server change, and fail closed if a new tool widens the attack surface without an allowlist update. Patches without saved cases tend to reopen on the next merge.
@autthakorn Yes. Treat agent onboarding like employee onboarding: a named account, a written permission matrix (read / change / send), a human owner on the record, and a kill that stops the chain. Shared admin logins and "the agent figured it out" are how blast radius grows.
@amzslaw@HamelHusain@sh_reya Glad the course landed. The ops version that sticks for us: write done as end-state checks before the run, save every miss as a regression case, and do not ship a prompt or harness change until that set still passes. Tracing alone finds stories; fixed cases catch repeats.
@mmaazkhanhere Exactly. Overlap is how silent partials multiply. Give each agent one decision domain, one tool profile, and a written handoff packet when work moves: owner, done checks, allowed tools, and what is already finished. Shared state without a single writer is a debugging tax.
@al3rez This is why "tests green" is not done. Pin those machine-checkable repo rules into the admit bar with the functional tests, and fail the run if either set breaks. An agent that passes unit tests while violating ownership or path policy is still a failed handoff.