Agent build studio
Build, test, and ship agents like software
Agent Build Studio turns prompts, tools, and guardrails into a versioned release process. Run evals, review diffs, gate risky tool calls, and deploy with staged rollouts—so teams can ship faster without losing control.
Blueprint agents with versioned prompts, policies, and knowledge packs.
Register tools with typed schemas, scoped auth, and approval thresholds.
Run eval suites and regression diffs before every release.
Deploy with canary rollouts, telemetry, and instant rollback.
A release workflow for agent behavior
Build metrics, eval results, approvals, and tool activity stay visible so you always know what changed—and why.
- Time to first agent build
- < 1 hour
- Eval suites per agent
- 10–50+
- Tool calls guarded
- 100%
- Deploy cadence
- Daily
Start from templates or import an existing prompt + tool schema
Run regression tests before every deploy with pass/fail diffs
Policy envelopes, approvals, and audit logs sit in front of every action
Versioned rollouts with quick rollback keep teams shipping safely
The workflows teams use to ship trustworthy agents
Each module blends prompts, tools, evals, and governance so you can iterate quickly without breaking production.
Blueprint
Agent blueprint & policy editor
Define the agent’s mission, tone, knowledge sources, and guardrails in a versioned studio that your team can review.
Capabilities
- Compose system prompts, policies, and escalation rules with role-based approvals.
- Attach knowledge packs, macros, and brand voice guidelines as grounded context.
- Preview drafts with deterministic test prompts before you ever deploy.
Primary surfaces
Studio canvas, policy registry, knowledge packs
HITL checkpoint
Leads approve policy changes and tone updates before publishing a new version.
Tools
Tool registry & permissioned function calling
Connect commerce systems and internal services with typed schemas, scoped auth, and approval thresholds for sensitive actions.
Capabilities
- Register Shopify, Recharge, Loop, Slack, and custom APIs as tools with JSON schemas.
- Enforce guardrails (rate limits, allowlists, approval gates) per tool and per intent.
- Simulate tool calls in a sandbox and review parameter payloads before release.
Primary surfaces
Tool registry, secrets vault, approval rules
HITL checkpoint
Ops or finance approves high-impact actions (refunds, cancellations, credits) inline.
Quality
Eval harness & regression suites
Measure response quality with datasets, grading rubrics, and red-team scenarios so changes don’t break production behavior.
Capabilities
- Create datasets from transcripts, edge cases, and synthetic adversarial prompts.
- Score groundedness, policy compliance, and tool-call correctness with configurable rubrics.
- Compare versions with pass/fail diffs and trace-level evidence.
Primary surfaces
Eval runner, dataset library, trace viewer
HITL checkpoint
Review failed cases, annotate expected behavior, and promote passing builds.
Release
Versioning, rollouts, and rollback
Ship new agent versions with canary releases, staged schedules, and instant rollback when telemetry flags regressions.
Capabilities
- Promote from draft → staging → production with explicit gates and approvals.
- Route traffic by channel, segment, or scenario to validate changes safely.
- Roll back to known-good versions while preserving audit history.
Primary surfaces
Release manager, routing rules, version registry
HITL checkpoint
Owners approve promotion to production after reviewing evals and key telemetry.
Operations
Observability loop for continuous improvement
Track real-world performance with traces, escalations, and feedback signals so you can iterate with confidence.
Capabilities
- Inspect mission timelines: prompts, memories, tool calls, delays, and escalations.
- Alert on policy violations, low confidence, or repeated deflections by topic.
- Schedule periodic reviews and auto-generate improvement briefs from live data.
Primary surfaces
Mission console, alert center, analytics dashboards
HITL checkpoint
Supervisors triage alerts and inject guidance into the next build cycle.
Ship agent changes with confidence
Version control, approvals, and evals keep teams aligned while agents evolve quickly.
Versioned prompts and policies
Treat agent behavior like software: diffs, reviews, and promotion gates.
Prompt & policy diffs for every publish
Guardrailed tool calling
Typed schemas, scoped auth, approvals, and safe defaults protect production systems.
Approval + audit envelopes on sensitive actions
Eval-first iteration
Regression suites catch behavior drift before it reaches customers or operators.
Datasets + rubrics wired into every release
Governance built in
Role-based approvals and escalation policies keep humans in control of changes.
Change control workflows for agent releases
One cockpit for builds, evals, and approvals
Move from prompt edits to validated releases while keeping every stakeholder in the loop.
Studio run timeline
Replay test runs end-to-end, including tool call payloads and policy checks.
Eval scorecards
See pass/fail diffs by dataset and rubric, then drill into the exact traces.
Alert and approval inbox
Centralize escalation rules, approvals, and release gates in one queue.
What the studio governs
See how builds flow from editing to release and what gets saved for audit.
| Module | Primary surfaces | Automation | HITL moment | Audit trail entries |
|---|---|---|---|---|
Agent blueprint & policy editor Blueprint | Studio canvas, policy registry, knowledge packs | Generates structured prompt scaffolds, policy checklists, and review-ready diffs. | Leads approve policy changes and tone updates before publishing a new version. | Stores version history, prompt diffs, and reviewer approvals. |
Tool registry & permissioned function calling Tools | Tool registry, secrets vault, approval rules | Scaffolds tool definitions, generates test stubs, and validates schema contracts. | Ops or finance approves high-impact actions (refunds, cancellations, credits) inline. | Logs tool call parameters, approval signatures, and execution outcomes. |
Eval harness & regression suites Quality | Eval runner, dataset library, trace viewer | Runs eval suites on schedule or on publish, producing a shareable scorecard. | Review failed cases, annotate expected behavior, and promote passing builds. | Archives datasets, rubric versions, and eval run artifacts. |
Versioning, rollouts, and rollback Release | Release manager, routing rules, version registry | Publishes versions, schedules rollouts, and updates routing automatically. | Owners approve promotion to production after reviewing evals and key telemetry. | Records rollout timelines, version pinning, and rollback events. |
Observability loop for continuous improvement Operations | Mission console, alert center, analytics dashboards | Summarizes drift, queues follow-up tasks, and proposes remediation changes. | Supervisors triage alerts and inject guidance into the next build cycle. | Stores trace evidence, alert acknowledgements, and remediation notes. |
Stand up the studio workflow in three steps
We help you scaffold the first agent, wire in tools and evals, then graduate to safe releases with governance.
Define the mission and guardrails
Write the policy, escalation rules, and success criteria for the agent you want to ship.
Connect tools, data, and knowledge
Wire in function schemas, knowledge packs, and approval thresholds for each action.
Ship with evals and staged rollout
Run regression suites, deploy to staging, then roll out with telemetry and rollback.
Build your first agent release together
We’ll help you define the mission, create the eval harness, and set up approvals so the studio can ship safely.