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Build the agent

Experiment before release

Try the real job safely while the live version stays unchanged.

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Work in an autosaving draft and test-drive it against real tools before it goes live.

What this changes for your team.

Edits land in an autosaving draft, separate from the last published version. Test runs can exercise the draft and its configured integrations so operators see actual behavior before choosing to release it.

How it works in practice.

  1. 01

    Edit the draft while changes save without creating a public version.

  2. 02

    Start a test session and choose the credentials intended for that test.

  3. 03

    Review messages, calls, arguments, and results before deciding whether to publish.

What you can plan around.

The behaviour you can design against, stated concretely.

Draft state and published agent versions have separate persistence and lifecycle rules.

Test execution uses the draft setup without moving trigger or app traffic off the published version.

Real tool effects are possible in a test, so the selected credential and write behavior remain visible to the tester.

Complete the operating path

View all capabilities
Build the agentRelease with a rollback path

Make releases deliberate, auditable, and reversible when a newer brief underperforms.

Build the agentCompose work inline

Bring integrations and specialist agents into the brief at the exact point they matter.

Connect its toolsConnect the systems your team already uses

Connect common business systems without designing every API operation from scratch.

Bring one real process

See how Yekar.AI fits the way you work.

Start with a job your team already owns, plus the tools and decisions around it.

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