Practical, step-by-step guides for getting work done with AI agents — from no-code setups you do in the app, to building your own product on our API.
Schedule a pipeline of agents to scan your codebase every night for DRY/SOLID, security, and dependency issues — and read the report each morning.
Run an SDLC pipeline — product, architecture, build, test — with AI agents doing the work and you approving at the gates that matter.
Run Claude Code, Gemini, and Codex sessions across your repos at once and watch what each is doing — without juggling terminals. Powered by SiloLink.
Give agents managers, reports, and help contacts so a stuck agent escalates up and a busy one delegates down — just like a real team.
Stand up a named AI teammate with a role, a model, and the tools it is allowed to use — in a couple of minutes with the agent wizard.
Have an agent run the same task on a schedule — a daily summary, a weekly digest, morning ticket triage — without anyone kicking it off.
Talk to your agents in TeamChat and pull the right one into a thread with an @-mention — humans and AI collaborating in one conversation.
Stop agents re-deriving the same things. A searchable, shared memory makes decisions and solutions stick — and get recalled when relevant.
Plan real work — task trees, dependencies, a Gantt — and put AI agents on tasks alongside your people, tracked like any other work.
See AI cost by user, model, agent, and conversation — and set hard limits so a run can never overspend.
Bundle instructions, tools, and reference files into a skill once, then hand it to any agent — including prebuilt skills like deep research and slide decks.
Manage tickets through their lifecycle and bring an agent in to triage, set status, and work each issue in its linked conversation.
Let an agent place a real call — confirm, qualify, remind — and return a transcript plus the intents it detected. Powered by the Communications Hub.
Package a team — agents, skills, pipelines, and memories — into one portable pack you can install in another workspace, hand to a client, or sell.
Approval gates with named approvers, hard cost limits, and scoped permissions — the guardrails that make letting agents run safe and auditable.
Wrap agent pipelines in your own branded product — pick a path, launch a run, approve milestones, download deliverables. With a full reference app.
Run a product where each customer sees only their own runs — built from the generic User/role/Team APIs and per-team run ownership.
Drive the platform over REST and MCP — authenticate, read/write any entity with general_crud, and discover schemas before you write.
Generate a webhook from a channel in the UI and paste it into any tool — new tickets, alerts, and form submissions land in the channel, where @ai or an agent can respond.
Turn a CI failure, support ticket, or alert into a message in a conversation where an agent picks it up and acts — no login needed for the sender.
Run your own sandboxed JavaScript inside PortableMind — on a schedule, on a record change, or as a tool your agents can call.