AI agent engineering workspace

Turn intent into
working agents.

Design, test, and deploy intelligent workflows from one focused workspace. Enigma pairs an agent-native editor with the context and tools needed to ship.

01 A workspace built around the agent
Enigma AI Agent Editor showing code, a project tree, and a conversational agent builder
Agent builderPrompt orchestrationTool connectionsKnowledge groundingWorkflow testing
02 / Workflow

From a conversation
to a production workflow.

Stay in one continuous loop: explain the outcome, inspect the implementation, and test the behavior without losing context.

01

Describe the outcome

Tell Enigma what the agent should know, decide, and do. It translates the brief into a clear workflow proposal.

02

Connect its world

Add tools, trusted knowledge, and operational rules. Every capability stays visible in the project.

03

Test before release

Run the real workflow, review outputs, and refine the implementation with the agent beside the code.

03 / Built for the full loop

Less tool switching.
More agent building.

A

Code and conversation share the same context.

Move between implementation and intent without re-explaining the project. Enigma understands the workspace it is changing.

agent support {'{'}
  knowledge: [docs, policies]
  tools: [search, crm, tickets]
  fallback: human_handoff
{'}'}
B

Composable by design.

Keep prompts, agents, workflows, and knowledge modular as the system grows.

C

Visible, testable behavior.

Inspect each step and validate outcomes before an agent reaches real users.

Build what comes next

Your agent starts with a conversation.

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