10x your team.Not your headcount.
Give every person on your team an AI workforce for the repetitive work that's slowing them down.
Set the authority. Approve what matters. The work just gets done.
Live today with early teams. Onboarding is white-glove for now.
One hire changes everything
This isn't a chatbot. It's not an automation tool. It's not a workflow builder. Workloop is a workforce. Your workforce.
- 1
Tell your Chief of Staff what you need in plain language
- 2
They staff each function with a dedicated agent
- 3
Your team runs the work. You review, approve, and steer.
A loop that runs your busywork.
A coworker doesn't wait for you to ask. Hand it a job and it runs the same loop a good teammate would—on its own, and sharper every pass.
Runs continuously · learns your standards each pass
- 01
Watches
Keeps an eye on your tools and the signals you'd miss by hand—inbox, docs, systems, whatever the job touches.
- 02
Researches
Pulls the full context—what changed, why it matters now—and checks its own work.
- 03
Does the work
Brings it back ready to go: a draft, an update, a fix, a decision teed up.
- 04
Improves
Learns your standards every pass, so the work gets sharper and needs you less over time.
Built so you don't have to trust us
Most AI agent companies ask you to trust them. Workloop is built so you don't have to. The architecture makes bad behavior structurally difficult, not just policy-prohibited.
Runs on your machine. Not ours.
Your agents run locally. Your files stay on your hardware. No cloud platform sitting between you and your work.
Your secrets stay secret.
Provider credentials stay in OS-backed storage. Agents get narrow, scoped grants, not raw API keys pasted into a dashboard.
Agents can't roam your machine.
Every agent is bounded to the workspace you choose. They can't wander through your files, services, or OS state.
No phoning home. No hidden requests.
Network access is policy-controlled, not ambient. Outbound requests go through explicit, host-mediated paths. The app itself makes zero silent network requests.
Everything stays readable.
Work artifacts live in plain Markdown files, not opaque app-only state. You can inspect, version, and understand everything your agents did.
Any model for every role.
Your team runs on the models you trust. Use hosted models, local models, or both. Pick the right model for each job instead of forcing one model to do everything.
Teams already run on coworkers.
Early teams shipping faster with less overhead.
Workloop keeps our internal docs current and runs coworkers that help us operate. The context is always up to date so the work just gets done.
I'm a one-man sales org. I set up a lead gen agent in ten minutes that finds and qualifies leads for me. Now I just close.
We run our entire operation on software and build everything with Claude. Workloop gives us the one thing we were missing: coworkers that run autonomously without us babysitting them.
Questions teams ask.
What is Workloop?
Workloop gives every person on your team a set of dedicated AI coworkers that handle the repetitive work slowing them down. You bring your own model, and the work runs on your own hardware. Each coworker has a defined role, clear boundaries, and your approval where it matters.
How is this different from ChatGPT or Claude?
Chat assistants wait for you to ask them something. Workloop gives you coworkers that keep working on their own—on a schedule, or when something needs attention. They have defined roles, clear boundaries, and built-in accountability. You're not chatting with AI. You're running a team.
What kind of work can a coworker handle?
Anything repetitive that's slowing your people down: lead qualification, inbox triage, research briefs, follow-up sequences, weekly reporting, pipeline cleanup, CRM updates, scheduling, vendor research. If it's repeat work with clear inputs and outputs, it's a good fit.
Can I use the models I already use?
Yes. Workloop works with Claude, OpenAI, Gemini, Mistral, DeepSeek, Cohere, xAI, Liquid AI, and local models via Ollama. Pick the right model for each role. No lock-in.
How does the security model work?
Coworkers run on your own hardware. Credentials stay in OS-backed storage and never leave your machine. Each coworker is bounded to the workspace you choose. Network access is policy-controlled, not ambient. Work lands in plain, readable artifacts you can inspect. The architecture makes bad behavior structurally difficult, not just policy-prohibited.
What does getting started look like?
Right now it's white-glove. We set up your first coworkers with you—we learn the work that keeps falling through the cracks, define each coworker's role and what needs your approval, and launch. Minutes of your time, not months.
Is this here to replace my team?
No. It's here to multiply them. The goal is to take the repetitive work off their plate so they can focus on the work they're best at and actually enjoy. A five-person team that moves like fifty.
Ready to put a coworker on it?
Book a demo and we'll set up your first coworker together—on your tools, with your rules.