
Make
Your AI agent connects to Make's automation platform to discover available operations, access configuration data, and bridge conversational interactions with multi-step workflows. When a customer request needs action across five different tools, your agent can leverage Make's orchestration to get it done.




Your AI agent interfaces with Make's API to retrieve operation details, timezone configurations, and language settings that power your automation scenarios.
Make
See how AI agents and Make work together to turn a single customer interaction into coordinated action across your entire tool stack.
A new customer signs up through your AI agent. The agent collects their details and triggers a Make webhook that runs a scenario creating the customer in your CRM, sending a welcome email via MailerLite, provisioning their account in your SaaS platform, and notifying your success team in Slack. One conversation triggers five actions across five tools, all orchestrated by Make.
Your operations team member asks the agent which timezones Make supports for scheduling their nightly data sync scenario. The agent queries Make's timezone API and returns the full list. The team member selects 'America/Chicago' and updates their scenario configuration. No documentation search, no trial and error with timezone strings.
Before launching a marketing campaign that depends on Make automation scenarios, your team asks the agent to verify the Make integration. The agent authenticates against Make's API, confirms the token is valid and the correct region is configured, and retrieves available operations. Your team launches with confidence that the automation pipeline is healthy.

Make
FAQs
The agent can query Make's API for available operations, configuration data, and metadata. For triggering scenarios, the agent sends data to Make webhook URLs configured in your scenario triggers. This means customer interactions can kick off complex multi-step automations without manual intervention.
Currently, the agent accesses Make's read-level APIs for operations, languages, and timezones. Scenario creation and modification happen in Make's visual builder. However, the agent can trigger existing scenarios via webhooks, which is the primary integration pattern for customer-facing automation.
Make operates in different data regions (us1, eu1, us2, or custom instances). The region determines which API endpoint the agent connects to. Setting the wrong region causes authentication failures. Your region is shown in your Make dashboard URL.
No. Tars queries Make's API in real time during conversations. Operation lists, language codes, and timezone data are fetched live. We do not cache or store your Make account information outside of the active conversation context.
Yes. Configure your agent with multiple Make webhook URLs mapped to different gambits. A sales inquiry triggers your CRM onboarding scenario. A support question triggers your ticket routing scenario. The agent selects the right webhook based on conversation flow.
Make's webhook module receives data passively. A Tars AI Agent actively engages customers, qualifies their needs, collects structured data, and then sends that enriched payload to Make. The automation starts with cleaner, more complete data because the AI handled the intake.
The agent detects authentication failures immediately during conversation and notifies you. Generate a new token from your Make profile settings and update it in the Tars Tools configuration. The connection resumes without any scenario disruption.
Indirectly, yes. When the agent triggers a Make scenario via webhook, that scenario can orchestrate actions across any of Make's 1,500+ connected apps. Your agent handles the conversational input, and Make handles the multi-app execution.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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