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Midfleet gives teams operational control over autonomous agent work. From intent to completion, see ownership and scope, approvals and blockers needing action, handoffs as work moves, and evidence of completion. Now self-serve. Free plan, no credit card.
Hey Product Hunt — I’m Ahmed, founder of Midfleet.
Autonomous agents can move work forward, but the team remains accountable for the result. That creates a new operating problem.
When work crosses agents and people, someone still needs to be able to answer:
- Who owns the outcome?
- What is inside and outside the approved scope?
- Where is a decision or approval waiting?
- What is blocked, and who needs to act?
- Who owns the next handoff?
- What evidence supports completion?
We built Midfleet to make those answers visible from intent to completion.
Midfleet’s center of gravity is operational control. It goes beyond routing tasks, inspecting traces, or connecting agents to tools. It keeps ownership, scope, approvals, blockers, handoffs, and evidence visible around the outcome as work moves.
Today, Midfleet is available self-serve. You can start on the free plan without a credit card:
https://midfleet.ai/register?utm...
A concrete first test: take a GitHub epic or issue already queued in the Midfleet run queue from accepted to merge—while keeping the human owner, scope, approvals, blockers, handoffs, and completion evidence visible along the way.
If you work with agents today, where does control become weakest: ownership, scope, approvals, blockers, handoffs, or evidence?
I’ll be here throughout the launch to answer questions and learn from what you try.
I have read through a lot of threads lately on PH and I see that we keep using “agent governance” to mean permissions, approval gates and audit logs.
Sure these matter, but they govern individual actions. They do not govern the work.
A workflow can prescribe every step when the path is known. Complex work is different and thats something I discovered when Raju and I were building Midfleet.
The agent needs to investigate, make trade-offs, recover from dead ends and sometimes change its approach.
If we sequence every decision, we have built automation with an LLM inside it. If we simply tell the agent to achieve a goal, we have delegated without boundaries.
The middle ground is a form of mandate:
the intent behind the work
what is in and out of scope
rules that must remain true
who owns the current state
when the agent must escalate
the outcome and evidence required to finish
The agent remains needs to be free to reason inside that space. Governance does not tell it how to think. It makes the authority under which it acts explicit and durable across agents, humans and handoffs.
A workflow says what happens next.
Governance says what the agent is allowed to decide.
How are you encoding that boundary today without turning autonomous work back into a rigid sequence? Keen to hear thoughts on this :)
About Midfleet on Product Hunt
“Operational control for autonomous agent work”
Midfleet was submitted on Product Hunt and earned 10 upvotes and 4 comments, placing #47 on the daily leaderboard. Midfleet gives teams operational control over autonomous agent work. From intent to completion, see ownership and scope, approvals and blockers needing action, handoffs as work moves, and evidence of completion. Now self-serve. Free plan, no credit card.
Midfleet was featured in Productivity (659.6k followers), Developer Tools (518.5k followers) and Artificial Intelligence (477.4k followers) on Product Hunt. Together, these topics include over 356.4k products, making this a competitive space to launch in.
Who hunted Midfleet?
Midfleet was hunted by Ahmed Mashadani. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Ahmed Mashadani