NewInteractive Agents Live

Interactive Copilot

Operate your agents and platform. In conversation.

Run your agents, and the platform they live on, in conversation. Your domain experts deploy, monitor, and improve them, with nothing gated behind engineering.

Copilot

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cs-agent

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01Build
02Connect
03Deploy
04Govern
05Improve

Building AI isn't the bottleneck.
Operating it is.

Co-Pilot is the conversational window into every stage of the operational loop, all in one chat.

Build

Build any agent.
By talking through it.

Describe how your operation actually works. Co-Pilot turns it into an Interactive Agent: the prompts, routines, and policies that encode your business logic. You review, you ship.

Routines & Policies

Your processes and rules, drafted as governed objects.

Prompt Repository

Version-controlled prompts with production, staging, and dev labels.

From your operations

Translate how your team already works into an agent.

Agent BuilderSoon

Design complex, multi-step agents seamlessly.

Co-Pilot
Build
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Connect

Connect any system.
Through conversation.

Reach for a pre-built MCP, or have Co-Pilot build a custom MCP server and deploy it as a service. It manages your secrets, scopes the permissions, and waits for your approval. No integration code on your side.

Pre-built MCPs

Connect tools and services through ready-made MCP servers.

Custom MCP servers

Co-Pilot builds and deploys your own MCP server as a service.

Secrets Manager

Encrypted credential storage referenced across projects.

Knowledge Base

Vectorized enterprise context for agent retrieval.

Co-Pilot
Connect
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Deploy

Ship to production.
By approving a draft.

Co-Pilot deploys the agent and the infrastructure it depends on, the databases, services, and sandboxes, in one move. You watch traffic shift in real time. Roll back with one message.

Agents & infrastructure

Deploy agents and the databases, services, and sandboxes they need.

Environments

Fully isolated staging and production environments.

Queuing & Auto-Scaling

Kubernetes-backed scaling under variable workloads.

Service Monitoring

Track uptime, latency, and resource usage per service.

Co-Pilot
Deploy
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Govern

Investigate any production run.
By asking.

Co-Pilot pulls the trace, the user, the score, the cost. Every step the agent took, surfaced in one prompt.

Tracing

Hierarchical traces capturing every step, input, and output.

Scores

Numeric, categorical, and boolean quality measurements.

Dashboards

Pre-built views for cost, latency, and usage tracking.

User Tracking

Debug and analyze behavior per user or segment.

Co-Pilot
Govern
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Improve

Correct the agent.
The fix ships through Co-Pilot.

Tell Co-Pilot what should have happened. It drafts the fix, a policy, routine, or prompt edit, runs the evaluator across history, queues the Experiment. You approve, it ships through the same governance pipeline.

Annotations

Expert scoring and comments to establish ground truth.

Evaluators

LLM-as-a-Judge for hallucination, toxicity, accuracy, tone.

Datasets

Test collections from production traces or manual input.

Experiments

Compare prompt versions and configs side by side.

Co-Pilot
Improve
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Most platforms make AI engineering a privilege of engineers. Co-Pilot makes it something operators can run themselves, alongside the engineers who own the runtime. Same audit trail. Same approval pipeline. Same shipped artefact.
Pedro Mota Carmo

Pedro Mota Carmo

Enterprise Implementation Lead, InteractiveAI

Two audiences · One conversation

Operated by the experts closest to the work.

No black-box handoff. No fidelity loss between what your experts know and what your agents do. Both sides work in the same conversation.

Domain experts (non-technical)

Build agents in plain language.

  • Draft Policies, Routines, and Score Configs in plain English.
  • Validate against last quarter's tickets before anything ships.
  • Approve, reject, or roll back any change in one message.
  • Every decision the agent makes, auditable in one trace.

Engineers

Skip the boilerplate.

  • Co-Pilot composes the primitives you'd write by hand.
  • Run evaluations, experiments, and traces by command.
  • Your CLI, SDK, and CI/CD pipeline, unchanged.
  • Skip the boilerplate. Build what's distinctive.

Co-Pilot, answered.

The questions CISOs, procurement, and engineering leads bring to the table before signing off on operator-authored AI.

Every Co-Pilot-proposed change pauses for a named human approver before it touches production. The same RBAC matrix, the same Protected Prompt Labels, the same audit trail your engineers already use. Operator authoring passes through the governance gates, not around them.

Start building

Talk to your platform.

Co-Pilot is in early access. Kick off a Pilot to be among the first teams operating production AI in conversation, or schedule a demo to see it run end-to-end first.