Describe the outcome
"Research 20 fintech companies in Germany and draft a first-touch email for each." Add acceptance criteria and a budget.
Create a team of AI engineers, analysts and admins inside Insiro. Describe the outcome, set a budget and the apps they may touch. The lead teammate builds the team, does the work and asks you only when it needs you.
Lead reasoning
Goal: 20 fintech leads + drafts Criteria: 3 checks · cap $25 Plan: 4 roles · 14 tasks Risk: email send = tier 2Insiro Multiplayer lets you work alongside AI teammates. You describe an outcome, set a budget and choose which apps may be used. A lead teammate drafts a plan, builds a small team of specialised sub-agents, does the work in those apps and asks you only when it needs a decision or input.
"Research 20 fintech companies in Germany and draft a first-touch email for each." Add acceptance criteria and a budget.
Insiro drafts a lead teammate with a role, persona and the apps it may use. Edit anything, or pick an existing teammate.
The lead proposes sub-agents and tasks. Apps outside its ceiling are removed and shown. Approve, re-plan or discard.
The team works in your apps, verifies each task and checks the result against every criterion.
You hand the goal to the lead teammate. It splits the work across sub-agents, they deliver inside their app ceilings, and the lead verifies everything before handing the result back to you, inside the budget and guardrails you set.
1. Set the goal. Objective, 3 acceptance criteria, $25 cap, apps allowed: LinkedIn, Snowflake, Gmail.
2. Plans the team. Mira splits the goal into 14 tasks for 4 roles and reserves budget for each.
3. Works in parallel. Sub-agents work inside their app ceiling. Email sends wait for your approval (tier 2).
4. Verifies the result. Every task is checked against the criteria; one gap goes back to the writer and is fixed.
5. Receive the handoff. Result, evidence and an itemised receipt: $6.40 of $25, 0 policy blocks.
A goal in Insiro is an objective plus acceptance criteria, a budget, a deadline and the apps allowed. Attaching it to a teammate gives every sub-agent a slice of that goal and a role-specific objective, so each one stays focused, can be measured, and declines work that falls outside its brief.
Goal 2194 · attached
Research 20 fintech leads in Germany and draft outreach
Message the lead teammate at any time to change direction; it updates the plan and tells you what changed. Clarification requests and held actions wait in one Needs you queue.
Each template comes with a persona, a suggested model, a default budget and recommended apps. Make it yours in a minute.
Finds and qualifies accounts, maps the buying committee and drafts first-touch outreach in your CRM.
Sources candidates against a role brief, summarises profiles and prepares a shortlist for the hiring manager.
Pulls spend and conversion data, spots waste and drafts budget shifts for your approval.
Prepares briefs, chases action items across tools and keeps leadership updates on schedule.
Classifies incoming tickets, finds similar resolved cases and drafts replies or escalations.
Reproduces an issue in a sandbox, reads logs and code, and opens a pull request with the fix.
| Capability | Insiro Multiplayer | Single AI assistant | Autonomous agent experiments |
|---|---|---|---|
| Works toward an outcome, not a prompt | Goals with acceptance criteria | One reply at a time | Loosely defined |
| Builds its own team | Lead + specialised sub-agents | No | Often loops |
| Acts in your real apps | Within an app ceiling | Limited actions | Rarely enterprise-ready |
| Budget per goal | Hard cap, itemised | No | Runaway costs |
| Human steering mid-run | Message the lead any time | Start over | Rare |
| Verified result | Criteria marked met / not met | No | No |
| Turn into a recurring routine | One click | No | No |
Insiro Multiplayer lets you work alongside AI teammates. You describe an outcome, set a budget and choose which apps may be used. A lead teammate drafts a plan, builds a small team of specialised sub-agents, does the work in those apps and asks you only when it needs a decision or input.
A goal is the outcome you want, with acceptance criteria and a spending cap. A teammate is a persistent AI colleague with a role, persona, model and an app ceiling. For each goal, the lead teammate creates sub-agents, such as a researcher, analyst or writer, that can never use apps beyond the teammate's ceiling.
Yes. Start from role templates such as Sales Researcher, Talent Scout, Paid Media Analyst, Chief of Staff, Support Triage or Engineering Debugger, or define your own. Each teammate has a model, a default budget and the apps it may use. You can pause, edit, archive or give a teammate a new goal at any time.
You approve the plan before work starts, see every task and spend live, and can steer the lead teammate with a message at any time. Apps you grant are used without asking again for that goal; anything held for a decision lands in your Needs you queue, and approving runs exactly what you saw, once.
You write acceptance criteria when you create the goal, one per line. Every task's output is verified, and the final result is checked against each criterion and marked met or not met with a reason. If steps fail, Try again re-runs only what failed and keeps finished work.
Yes. Any completed or partly completed goal can be turned into a routine with one click, so the same team runs it on a schedule, for example a weekly competitor digest or a monthly close checklist, with the same budget, apps and approvals.
In the demo, you describe an outcome from your backlog and we run it with a teammate on your connected apps, inside a budget you set.