No-Code Automation

Make
AI Assistant

Get a Make AI assistant that lives in Slack. Ask questions, get summaries, and handle Make tasks without leaving your workflow.

Get started →How it works

$350/mo · Set up in 5 minutes · Cancel anytime

Agents

Cody

Orchestrator

Connected to Make

Make Agent

by Cody · Active in Slack

WorkflowsErrorsStatus

Make agent deployed

Launch Make Agent

$350/mo · Set up in 5 minutes · Cancel anytime

Answers questionsSurfaces insightsDrafts updatesMonitors changesSummarises dataSpots problems

Example questions

Ask Cody things like

Which Make scenarios failed, paused, or consumed the most operations today, and which ones need attention first?

Find the Make scenario that handles [workflow], explain the trigger, modules, and likely failure points, and tell me who should look at it.

Trigger the approved Make scenario for [process] with the right payload, then confirm what was sent and what follow-up or callback we should expect.

Draft a Slack update with Make execution failures, operations spikes, paused scenarios, and the automations the ops team should check today.

Use cases

What Cody does with Make

Scenario discovery and automation-ownership assistant

Cody can help teams understand which Make scenario handles a lead handoff, CRM sync, approval flow, spreadsheet update, or another cross-tool workflow, then explain the trigger, key modules, and downstream systems without making someone open scenario maps just to reconstruct the flow.

Execution-history and failure-triage assistant

Instead of reading raw Make execution detail one run at a time, Cody can surface the failed, paused, or noisy scenarios that matter most, explain which module likely broke, and turn run history or operations spikes into a clearer next-action list for ops and revops teams.

Approved workflow-triggering and handoff assistant

For safely exposed webhook or proxy-based flows, Cody can help people trigger approved Make scenarios from Slack, confirm what payload was sent, and set expectations for the async follow-up instead of forcing everyone back into Make just to replay the same operational handoff.

Track Cody's progress in taskboards that it creates for Make!

How it works

Tutorial

How to create a Make AI assistant

Build a fully customised Make assistant in minutes — no engineering required. Just drag, configure, and deploy.

Give Cody access to your messaging app

Connect your Slack workspace with one click. Cody gets its own dedicated server and appears as a bot in your workspace, with no shared infrastructure and no setup beyond the OAuth flow.

One-click Slack OAuth, done in 30 seconds
Dedicated server spun up automatically
Cody appears in Slack as @cody, ready to use

Connect workspace

Slack

Your workspace

Cody

AI Assistant

Cody is live in your workspace

Integrations

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AllCRMDev ToolsProductivity

GitHubDev Tools

Connect GitHub to Cody

Connect

MakeIntegration

Connect Make to Cody

Connect

NotionProductivity

Connect Notion to Cody

Connect

Enable the Make integration

Head to the Integrations panel and connect your Make account in one click. Cody securely stores your credentials and uses them to act on your behalf, reading data, drafting outputs, and surfacing insights directly in Slack.

Find Make in the integrations list
Click Connect and authorise access
Credentials are encrypted and stored securely

Drag agents onto the canvas

Open Cody's visual canvas and drag pre-built agent blocks into your workspace. Choose a Make agent, a summariser, a notifier, or combine several. Each block is a self-contained AI worker that handles a specific job, so your assistant only does exactly what you need.

Pick a Make agent from the library
Arrange blocks to model your workflow
Connect agents with a single drag

Set up your agent's skills

Give each agent the skills it needs. Connect your Make account, define what the agent should look for, and tune its behaviour with plain-English instructions, no code and no YAML. Cody handles the prompting and API calls for you.

Integrate directly with Make
Write instructions in plain English
Preview responses before going live

Launch Make Agent →

About the tool

About Make

Make is where a lot of cross-tool automation ends up living: lead routing, CRM syncs, approval flows, alerts, data cleanup, and complicated multi-step operational handoffs. A Make AI assistant is most useful when it helps teams inspect scenarios, understand which automation owns a workflow, review failed or noisy executions, and trigger approved flows from Slack without opening every scenario map by hand.

Common
questions

What can Cody actually do with Make?

Cody can answer questions across Make scenarios, webhooks, execution history, paused flows, operations spikes, and, where relevant, newer AI-agent workflows, then turn that automation context into clear answers and updates in Slack.

Can Cody help inspect Make scenarios and explain which automation handles what?

Yes. Cody can help teams find the Make scenario behind a lead handoff, CRM sync, approval flow, spreadsheet update, or another cross-tool process, then explain the trigger, critical modules, and downstream systems without making someone open the scenario map manually.

Can Cody review failed runs, paused scenarios, or operations spikes?

Yes. Cody can surface the scenario runs, pauses, retries, or usage spikes that matter most, explain which part of the flow likely broke, and turn raw Make execution detail into a clearer next-action list for ops or revops teams.

Can Cody trigger approved Make workflows from Slack?

Yes. For webhook-based or carefully exposed trigger paths, Cody can help send the right payload, confirm what was launched, and explain what follow-up or callback to expect. The important nuance is that Make scenarios usually run asynchronously, so Cody should confirm the launch rather than pretend the whole workflow already finished.

Does Cody replace Make or our automation stack?

No. Make stays the workflow engine and source of truth for your automations. Cody sits on top of it as a faster interface for understanding scenario ownership, triaging failures, and triggering approved workflows without living inside scenario maps and execution logs all day.

Get started today