Agent Studio
The Agent Harness
Frontier models don't sell. The harness around them does — the scripts, guardrails, tools, tests and version control that turn a raw model into an agent your revenue can depend on.
Agent Studio
Ask anything about your campaigns, agents, and calls
Try a prompt below to see how agents are created, constrained and measured — live.
Interactive preview — try a prompt to see how agents are created, constrained and measured.
01 — The Harness
Models are the commodity. The harness is the product.
Model-agnostic by design
VoiceB orchestrates frontier models from OpenAI, Anthropic and Google, and evaluates open-weights models where latency or data residency demands it. We select per use case — we never train our own foundation model, and you are never locked to one vendor’s roadmap.
Swap the model, keep the agent
Scripts, guardrails, tools, outcome definitions and integrations live in Agent Studio, not in a prompt buried in someone’s inbox. When a better model ships, you upgrade the engine without rebuilding the car.
Built for the failure modes
An unconstrained model improvises. A harnessed agent follows a defined path, refuses out-of-scope requests, escalates when it should, and leaves an auditable trail of every decision.
02 — The Build Loop
The build loop
Define
Set the goal, the role, and the target outcome. Structured script blocks — Goal, Script, Objections, Guardrails, plus your own custom blocks — replace one giant unmanageable prompt.
Constrain
Guardrails define what the agent must never say, never promise, and never decide alone. Compliance language, disclosure requirements and escalation triggers are configured, not hoped for.
Connect
Attach tools, knowledge sources, CRM write-back and a phone number or web widget. The agent stops describing your business and starts operating inside it.
Deploy
Assign DDIs or embed the widget, set language, voice and memory, and go live. Version control means every change is diffed, previewed and restorable.
Observe & improve
Full transcripts, recordings, outcome breakdowns and audit logs. A/B test two script versions against real conversions — not vibes — and promote the winner.
Every call becomes labelled data for the next version — Observe & improve loops back to Constrain.
03 — Script Blocks
Script Blocks
Agent behaviour is written in typed, independently editable blocks. Reorder them, version them, restore them. A customer success manager can fix an objection-handling gap in the afternoon without opening a ticket, and without risking the parts of the script that already convert.
04 — Governance
Governance you can hand to a compliance team
Version control
Every change auto-versioned with diff, preview and one-click restore.
Audit logs
Who changed what, when, and what the agent did on every call.
Role-based access
Admin-scoped configuration. Operators run; admins change.
05 — Copilot
Ask it, don't configure it
Admin accessAgent Studio includes a conversational copilot, scoped to admin users — the people authorised to change how agents behave at scale. Describe what you want in plain language and it queries your data, builds charts, drafts agents, edits script blocks and exports reports, inside the same console and on live data. Because a single instruction can reshape live campaigns, access is deliberately restricted: operators run agents, admins change them.
>List all my campaigns with their agent counts
>Compare agent performance across campaigns with a bar chart
>Help me create a new inbound agent
>Export this month's calls to Excel
06 — Deployment
Forward-deployed by default
Enterprise launches don't start with a login screen. VoiceB forward-deployed engineers sit inside your first deployment — mapping your outcome taxonomy, wiring your systems, and tuning scripts against your real inbound traffic. Then we hand you the keys. Agent Studio is what makes that handover possible: everything we built is visible, editable and yours to run.
07 — Get Started
See Agent Studio in Action
Book a demo and we'll walk through script blocks, guardrails, version control and the observability loop on live agents.