Turn AI tasks into
business operations.

Boring AI is the operating layer for AI work a business owns. A webhook, email, form, schedule, or app event starts an agent in a shared workspace; sensitive steps pause for an assigned teammate; and each run keeps the reasoning, tool calls, inputs, outputs, approvals, and cost together in one reviewable record.

If the work is personal, ad hoc, and you are there to steer it, use Claude. Boring earns its place when the workflow belongs to the business: it starts from an event, runs in a shared workspace, pauses for an assigned reviewer, recovers from failures, and leaves a record other people can inspect. You are paying for operating and governing the workflow, not access to another chatbot.

Supervised automation runs on its own for routine steps and stops for a human on the ones that matter. Instead of drawing a flowchart that either runs unattended or not at all, you write instructions and mark which actions need approval. The agent works the steps; a named reviewer approves, modifies, or rejects the sensitive ones; and each decision stays attached to the run that needed it.

Those are flow builders: you draw a fixed graph of triggers and actions, and the graph is what runs. Boring has no graph — you describe the outcome and the agent plans the steps on each run, so a renamed field or an unforeseen edge case doesn't send someone back to re-wire nodes. The trade-off is real in both directions: for simple app-to-app plumbing a flow builder is cheaper and faster to set up, and Zapier's app catalog is far larger than our 1,000+ connected tools. Boring is for the workflows with judgment in them.

The run pauses before the step executes and waits in the shared Tasks inbox for its assigned reviewer. That teammate — or a workspace owner or admin — can approve, modify, reject, or reassign the request; an approving note returns to the agent as context before the run continues. Gates can carry due dates and reminders, and runs that remain paused in the background follow the configured reject-or-skip outcome after the deadline and grace period. Every decision and handoff stays attached to the run.

Over 1,000 connected apps covering the common operations stack — chat, email, CRM, helpdesk, project tracking, finance, docs — plus guarded first-party packs for selected APIs, any HTTP API that ships an OpenAPI spec once an admin reviews the imported operations, and remote MCP servers that authenticate with a token. Agents can also load fully rendered public web pages, search knowledge you've added, and run short JavaScript calculations in a sandbox with no network or credential access.

A schedule, an inbound webhook, an inbound email, a public form submission, an event in a connected SaaS app, the Chrome extension on the page you're looking at, or the workspace API. Runs execute in the cloud, so nothing waits on your laptop staying open. When a run fails you can retry it from the step that failed rather than from the top — provided it got at least one step done; the console tells you when only a full re-run is possible.

No. Nothing is fine-tuned on your workspace and nothing is shared across agents or workspaces. Agents do learn in a narrower, visible sense: each run ends with a recap, items that repeat get de-escalated instead of re-flagged every day, and a thumbs-down becomes a standing lesson. Those lessons are memory entries you can read, each showing the run that taught it, and per-agent learning can be set to automatic, review-before-it-applies, or off.

Yes. Each run has a trace you can open in the console: the agent's reasoning, every tool call with its inputs and outputs, every approval and who gave it, and the cost of the run. Reports and dashboards an agent builds are saved as self-contained pages, and each agent has one stable link showing its latest one, retained 90 days. Any files the run wrote — a CSV, a JSON extract, a chart — are listed on the run and download from there; those stay inside the workspace rather than behind a public link. CSV exports cover run and workspace summaries rather than the full step-by-step payload record, currently the most recent 100 runs, and there's no immutability or attestation story yet — so this is a trace your team can review, not a compliance-grade audit archive.

We're in early access, so terms are set per design-partner engagement instead of published on a pricing page. There is no per-step meter. Ask us and we'll be specific about your workflow rather than pointing at a table we haven't earned yet.

Yes — white glove is the other half of the product. Our team maps your operations, builds the agents on the Boring platform, and runs them with you. The agents live in your workspace, written in plain language your team can read, edit, version, and roll back, so the engagement can end without the automation ending.