Agent Studio is the surface for managing autonomous workflows. Agents run on schedule or trigger, analyze your product data, and either surface findings or dispatch moves into Linear, Slack, or the re-score queue. Pro plans and above.
Agent Studio
Agent Studio is the surface for managing autonomous agents. Agents run on schedule or event triggers, analyze your product data, and produce structured artifacts or dispatch moves to connected tools (Linear, Slack, re-score queue). Agent Studio is available on Pro plans and above.What agents do
Agents are purpose-built workflows that monitor specific aspects of your product maturity:Strategic intelligence
Reads scoring trajectory, surfaces cross-product patterns, and surfaces strategic moves for your portfolio.
Anomaly detection
Monitors score moves and adapter signal for unusual patterns, alerting you to regressions or unexpected lifts.
Competitive monitor
Tracks competitor product changes and scoring moves, surfacing competitive intelligence in your dashboard.
Coaching digest
Surfaces periodic coaching summaries grounded in your scores, highlighting the highest-impact moves for your current stage.
Lifecycle tracker
Monitors your lifecycle placement and flags when team behavior diverges from expected patterns for your stage.
Outcome tracker
Closes the feedback loop by linking dispatched moves to measured score lifts over time.
Getting started
1
Navigate to Agents
Open Agents from the main navigation. Your account will be provisioned with default agent definitions on first visit.
2
Review default agents
Each agent shows its type, description, current status (active or paused), and last run time. Default agents start at Notify autonomy.
3
Activate an agent
Toggle an agent from Paused to Active to start its scheduled runs.
4
Promote autonomy when ready
After validating an agent’s output quality over several runs, promote it to Suggest or Auto to enable action dispatch.
Autonomy levels
Every agent has a configurable autonomy level that controls how much it can do without human approval:Approval queue (Suggest mode)
When an agent is set to Suggest, its actions are queued for human review instead of executing immediately. Each pending action shows:- The agent that produced it and the run that triggered it
- The proposed action (Linear issue title, description, priority)
- An Approve or Reject button with an optional reason field
Review before dispatch
Agents with Review required enabled hold their artifacts (strategic briefs, anomaly reports) for human review before dispatching to Slack or email. Enable this under Settings > Review on any agent to ensure a human sees every insight before it reaches the team. Set the autonomy level from the agent configuration panel under Settings > Autonomy.Configuring triggers
Each agent can be triggered in multiple ways:Trigger conditions
Event-based triggers support conditions that refine when they fire:- Score threshold trigger when a dimension score drops below a specified value
- Score delta trigger when a composite score changes by more than N points
- Sync completed trigger after a specific integration syncs new data
- Product added trigger when a new product is created in the account
Actions
Agents set to Suggest or Auto autonomy can dispatch real actions when triggered:
All dispatched actions are logged in the agent run history with a full audit trail. In Suggest mode, actions appear as drafts in your approval queue before being sent.
Compound flywheel
The compound flywheel tracks whether agent actions are producing measurable score improvements over time. For each dispatched action:Learning cycles
The flywheel counts completed learning cycles (Score, Connect, Correlate, Act, Learn). Each complete revolution makes the next revolution more accurate. The dashboard shows your cycle count, accuracy trend over time, and intelligence depth percentage.Outcome attribution
When an action closes its loop (score improves), you can annotate why the score changed:
These annotations feed back into the intelligence engine so future recommendations become more accurate.
Access the flywheel from the Agent Studio dashboard or from any agent’s detail page.
Product vitals
Product vitals surfaces real-time operational health signals for your active products. The vitals panel appears on the Intelligence dashboard and updates on every agent sync:LLM-grounded narratives
Strategic Intelligence and Anomaly Detection agents use Claude to surface human-quality narratives grounded in your scoring data. The agent engine runs a structured analysis first (identifying patterns, anomalies, and priorities), then enriches the output with an LLM call that produces readable strategic briefs with cited evidence. Other agents (Voice of Customer, Strategy Brief, Spec Quality, Code Quality) run as pure heuristic analyzers by default. You can enable LLM narratives for any agent under Settings > Model by selecting a model.Browsing artifacts
Every agent run produces one or more artifacts, structured outputs stored in your account:- Reports Markdown-formatted analysis with data and recommendations
- Alerts Short notifications about anomalies or threshold breaches
- Recommendations Specific “Do This Next” actions ranked by impact
Performance monitoring
Troubleshooting failed runs
- Check the run detail page for error messages
- Verify that connected integrations are still authorized
- Confirm the product being analyzed still exists
- Review your credit balance (agent runs consume credits)
Managing agents
Next steps
Connect adapters
Agents work best with rich signal from connected tools.
DAC
Reference agent artifacts in coaching for deeper analysis.
Leader: using agents
A guide to configuring agents as a team lead or VP.
API reference
Manage agents programmatically via the REST API.