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Gleyk/Agent builder
Agent builder

Build an agent around real work.

Describe the task, connect sources and tools, add conditions and approvals. A visual flow and copilot help you shape each step and see how data becomes an outcome.

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GleykVisual agent builderA
A

Add an approval before creating a Jira issue.

Knowledge baseJira · tool
Request handling agentWorkflow

Receive request

Input

01

Retrieve an answer

Knowledge retrieval

02

Human review

Approve / revise / reject

03

Create an issue

Permitted Jira tool

04
Sources and actions are configured
Illustrative workflow · sample data
01Visual agent builder

See the whole workflow. Shape every step.

Build an agent with retrieval, data processing, conditions and tool calls. The copilot helps update the flow from your description. Add a human checkpoint where the process needs a decision.

GleykVisual agent builderA
A

Add an approval before creating a Jira issue.

Knowledge baseJira · tool
Request handling agentWorkflow

Receive request

Input

01

Retrieve an answer

Knowledge retrieval

02

Human review

Approve / revise / reject

03

Create an issue

Permitted Jira tool

04
Sources and actions are configured
Illustrative workflow · sample data
02Company context

AI works with your task and the rules around it.

Bring together knowledge, tools, instructions and saved preferences. Your assistant uses available context to carry work forward consistently, from the first question to the reviewed outcome.

GleykCompany contextA
A

Use our template and check the terms against the current policy.

DocumentsToolsInstructions

Task context

Knowledge

Documents and selected knowledge bases

Skills and memory

Instructions for preparing the output

Business systems

Permitted data and operations

Within configured permissions and connections
Illustrative workflow · sample data
03Actions with control

Review what will change before it changes.

The assistant can prepare an action in a connected system. Your policy determines when confirmation is required. At a checkpoint, a person reviews the parameters and decides to approve, reject or revise.

GleykActions with controlA
A

Create an issue to review the external service and attach the evidence.

Research reportJira

Ready for approval

This example requires human approval

Action
Create issue · Jira
Summary
Review external service configuration
Evidence
Scanner report + asset record
Policy
Changes require confirmation
Available decisions at this step
ApproveReviseReject
Illustrative workflow · sample data
The path to an outcome

A clear sequence of work.

Define sources, permissions and review checkpoints before the workflow runs.

  1. 01

    Describe the agent’s task

  2. 02

    Build the workflow

  3. 03

    Configure conditions and reviews

  4. 04

    Evaluate a real example

The outcome

For example: a request agent that retrieves an answer and creates an issue after review.

Deployment considerations

Configured for your data and rules.

Available nodes, models and tools depend on the deployment. Evaluate branches and checkpoints with your data before use.

Explore controls
Explore what connects
Agent orchestrationAgent governanceAgent library
Start with your work

Bring us a workflow. Let’s see what AI can do.

Tell us about your team’s task and systems. Together we’ll scope a pilot and decide how to evaluate the result.

Discuss my workflow