Inside the product
The real operator view: what needs you, what finished, and what was captured for later, without turning activity volume into fake progress.
OneLoop gives you an AI operating team that remembers the work, prepares what is next, follows through, and shows its receipts. No prompt engineering. No workflow builder. No technical team required.
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The real operator view: what needs you, what finished, and what was captured for later, without turning activity volume into fake progress.
Most AI products still assume you want to learn prompts, agents, workflows, or infrastructure. OneLoop assumes you already have a job. If you can explain how the work should happen, you can teach your AI team the loop.
Sales, operations, account management, recruiting, finance, service delivery, leadership. The work that runs a company rarely lives in a code repository.
Begin with a conversation, transcript, file, or one broken handoff. Connect calendar, email, chat, CRM, or other systems only after OneLoop proves why the additional access is useful. No company migration required.
You describe the outcome in normal language, approve what matters, and inspect the receipt. OneLoop handles models, memory, permissions, schedules, and execution underneath.
No forms, no flowchart builder, no prompt engineering. You describe the work. Your AI team turns it into a loop with a contract, a proof run, and a receipt trail.
Describe the output you need in plain language. Have an example of what good looks like? Share it. Don't have one? Soc helps you design it.
Inputs, output, quality bar, audience, and where approval is required. You confirm in chat or by voice. Nothing runs on a guess.
The loop runs a safe test on your real material. You inspect the actual artifact before anything goes live. No demo-data confidence.
Scheduled or triggered, with a steward agent watching it. If something blocks, you get an honest blocked state and the decision that's needed, never silence.
Every run ends with the output, the evidence behind it, and a trail you can audit later: what happened, why, and on whose approval.
Sales follow-up, onboarding handoffs, renewal risk, meeting commitments, recruiting, reporting. One loop at a time, your operation compounds.
Everyone starts with Soc, your lead AI operator. Soc learns your work, ships your first loop, and recommends a named AI specialist only when your actual workload proves the need: pipeline, customer work, voice operations, hiring, finance, distribution. Specialists are AI, they are named, and they answer through one accountable voice. No agent zoo. No roster theater. The goal is a more capable you, not a bigger cast.
Web voice when typing is slow. Real phone calls your agent places or answers, consent-first, with transcripts and follow-through written back into your work. If your agent calls you, it knows why and can cite the approval that authorized the call.
Your AI team remembers people, promises, and context with citations, not vibes. Ask what it knows and why, and it shows you where a fact came from.
An AI-managed drive, a real work queue, reminders that fire, and meetings that turn into owned next actions instead of a notes graveyard.
Meeting assistants stop at the transcript. OneLoop walks you in briefed, sits in the room, and turns every commitment into owned work with a deadline and a drafted follow-up. Start by pasting a transcript from the tool you already use.
A prep brief before qualifying meetings: who's in the room, what was promised last time, and the questions worth asking, with sources cited.
Host in OneLoop rooms from your public Meet-me link: live transcription, a live cockpit for you, a clean branded experience for your guest.
Decisions, follow-ups with owners and deadlines tracked until they close, and emails drafted for one-click approval. No notes graveyard.
See how OneLoop runs meetings, including a real sample output →
AI that acts on your business has to answer one question at any moment: who approved this, when, and based on what. OneLoop is architected around that answer.
External sends, money, and anything reputation-shaped asks first. Safe internal work runs by default. You widen the lane as trust is earned, and every grant is recorded and revocable.
Per-user scoping by architecture. Connect your email and it is your agent's context, not the whole office's. No shared credential pool, no pooled DMs.
New data sources start read-only and earn write access with your explicit approval. The floor is safety. The ceiling is execution.
Every action carries a trail: the trigger, the approval, the artifact, the outcome. Compression never severs the path back to the evidence.
No fake progress bars, no invented certainty, no silent stalls. A blocked loop says it is blocked and names the decision it needs.
Google Workspace, Microsoft 365, and Slack are live. A catalog of business sources is supported, and missing connectors get built on request, fast. The measure that matters is not the logo count. It is whether the work finishes in the tools you actually use.
A Watt is a unit of AI work, roughly a thousand tokens of frontier-model output. You always see the balance, the burn, and the dollars. No use-it-or-lose-it resets, no surprise walls, no subsidized pricing that reprices later.
You don't need a six-month strategy deck. Pick the workflow that leaks the most, and put a loop around it.
The prospect named a live pain on the call. The loop drafts the follow-up from the transcript, gets your approval, sends it, and logs the receipt before the opportunity cools.
When work moves from sales to delivery, the loop carries the context across the handoff, assigns the owner, and produces the kickoff brief instead of resetting to zero.
An account goes quiet and the loop notices, assembles the history, drafts the outreach, and puts it in front of the owner while there's still time to act.
If a meeting creates a promise, the loop writes it into owned work with a deadline and follows up when it drifts. Promises stop depending on the founder's memory.
The loop keeps candidates warm, drafts the next touch, tracks who owes whom a reply, and surfaces the shortlist when the role heats up.
When an issue escalates, the loop carries the full history to the owner so the customer never repeats themselves, and the fix gets a receipt.
OneLoop is an AI operating layer for running real work. You get a named AI team, led by an agent called Soc, that turns recurring work into running loops: defined inputs, a confirmed output contract, approval gates, execution, and a receipt trail. It lives in its own web product with chat, voice, phone calls, files, work, memory, and reminders.
It executes. OneLoop drafts and sends follow-ups behind approval gates, runs recurring loops on schedules and triggers, creates and updates work items, places and answers real phone calls, produces documents and briefs from your material, manages reminders, and writes meeting outcomes back into owned work. Safe internal actions run by default. External or sensitive actions ask first.
No. Connected data sources can start read-only, which is a trust posture you control, and they earn write access with your explicit approval. Execution happens through approval-gated actions with receipts. The floor is safety; the product is execution.
AI. Every specialist on your OneLoop team is a named AI agent. You start with Soc, your lead AI operator, and additional AI specialists are recommended only when your actual work proves the need. There are no human contractors behind the curtain.
Google Workspace, Microsoft 365, and Slack are live. A catalog of business file and data sources is supported, and connectors that are not yet live get built on request, fast. OneLoop's measure of integration is whether work finishes in your tools, not the size of a logo wall.
$99 per seat per month, which includes 2,500 Watts of AI work per seat, pooled across the team. Unused Watts roll over for 12 months. Usage beyond the included pool is metered transparently at $0.016 per Watt and always displayed in dollars. Organizations that need isolated infrastructure can add a dedicated environment.
Your connected accounts are scoped to you, not shared with your whole workspace. Tenants are isolated from each other. Your AI team's memory is source-backed and inspectable: ask what it knows and it can show where a fact came from. Approvals, denials, and delegations are recorded and auditable.
Yes, and the product is designed to make that survivable. New loops prove themselves on a safe test run before going live. Risky actions require approval. If the system lacks what it needs, it reports an honest blocked state and asks a focused question instead of guessing.
No. OneLoop's home is its own web product, with chat, voice, and phone built in. External chat surfaces can be connected as optional mirrors of the same agent and the same context, but they are never required.
No. OneLoop is built for the employees already running sales, operations, customer work, recruiting, finance, and leadership. Describe the work in normal language, show your AI team an example of what good looks like, approve what matters, and inspect the result. The agent infrastructure stays underneath the product.
Those are chat assistants: excellent at answering when asked, idle otherwise. OneLoop is an execution layer. It runs recurring loops on schedules and triggers, sends approved follow-ups, places and answers real phone calls, turns meetings into owned work, and leaves a receipt for every action. A chatbot makes you faster at doing the work. OneLoop finishes work you no longer do. Full comparison at useoneloop.com/compare.
DIY stacks are capable kits for engineers who want full control: you provision the server, manage model API keys, wire the channels, write and babysit the scheduled jobs, and act as your own sysadmin, with no approval layer or receipt trail unless you build them. OneLoop is the managed, governed version of that idea: working in under a minute with no PC, proactive loops, real phone calls and live meetings built in, source-cited memory, approvals and receipts on everything, and one accountable vendor at a predictable price. Product versus project. The honest side-by-side is at useoneloop.com/compare.
Meeting assistants stop at the transcript, which is residue. OneLoop treats a meeting as an input to work: you walk in briefed, and commitments made in the room become owned work items with deadlines and follow-through, tracked until they close.
OneLoop is. Every loop has a steward watching it, blocked loops report an honest blocked state with the decision they need, and there is a vendor behind the product you can hold to it. With a DIY stack, the vendor is you: upgrades, outages, rate limits, and 2am repairs included.
Create an account and talk to Soc. Onboarding is a conversation, not a form: Soc works on your real material, produces one genuine artifact, and leaves you with one live loop or an honest, concrete next step. If someone introduced you, tell Soc who.
Start with the workflow that leaks the most. Your AI team maps the loop, proves it on your real material, and runs it with receipts.
Learn the operating-loop method at Loop Builders →