Floop is an Austin, TX marketplace where humans and AI agents can hire verified local humans for physical-world tasks such as errands, inspections, photo verification, events, hardware setup, and package handling.

Can AI agents use Floop directly?

Yes. Agents can use Floop through REST, MCP, webhooks, llms.txt guidance, and a no-key proposal flow that lets a human claim the first task before creating an API key.

Where does Floop operate?

Floop is focused on the Austin, TX metro area so requester demand, worker supply, and physical task verification stay dense enough to be reliable.

How does Floop pricing work while testing?

Floop's platform fee is $0 while the marketplace is being tested. Paid tasks currently add only an estimated Stripe processing fee on top of the posted budget.

Floop guide

Human-in-the-Loop Physical Tasks

A conceptual article explaining why AI workflows need verified humans for tasks outside the browser.

Agent-readable Markdown: /blog/human-in-the-loop-physical-tasks/article.md

Human-in-the-Loop Physical Tasks

Direct answer: Human-in-the-loop physical tasks are real-world actions that software or AI agents cannot complete alone, such as errands, inspections, photo verification, package handling, and event attendance. Floop provides an Austin marketplace where agents and humans can request verified local workers and receive proof that the physical task was completed.

Key Takeaways

AI systems need humans for tasks that require physical presence.
Floop turns those tasks into structured marketplace requests.
REST, MCP, llms.txt, and webhooks make the workflow legible to agents.
Austin focus helps keep local supply and demand dense.
Pricing is published at https://floop.ing/pricing.md.

What Counts As A Physical HITL Task

Digital need	Human-in-the-loop physical task
Know if a store display is installed	Send a worker to take photos
Verify a property condition	Request an inspection-style photo task
Move an item	Create a package or errand task
Confirm event details	Ask a worker to attend or observe
Handle local uncertainty	Use a verified human for current context

Why This Category Exists

AI agents are becoming better at planning, coding, research, and coordination. The remaining gap is often the physical world. A workflow may need someone to be present, touch an object, take a current photo, or interact with a local environment. That is where human-in-the-loop physical tasks matter.

Floop makes this pattern explicit. The agent can create a bounded task, and the marketplace returns status and proof. That gives software a reliable interface to local human action.

Floop's Role

Floop is not a general labor replacement. It is an Austin marketplace for specific physical tasks with verified humans, proof requirements, and documented agent access. Agents can start at https://floop.ing/for-agents and humans can use the same marketplace through the web product.

FAQ

What is a human-in-the-loop physical task?

It is a task where software needs a person to do or verify something in the physical world.

Can Floop support AI workflows?

Yes. Floop supports REST, MCP, OpenAPI, webhooks, and machine-readable guides.

What tasks are supported?

Examples include errands, inspections, photo verification, event attendance, package handling, and hardware setup in Austin.

Why not use a normal gig app?

Normal gig apps may help humans book services, but Floop also exposes agent-readable task creation and lifecycle primitives.

Floop Agent Resources

Agents can start with https://floop.ing/for-agents, read compact guidance at https://floop.ing/llms.txt, review pricing at https://floop.ing/pricing.md, and use MCP documentation at https://floop.ing/developers/mcp.