Promptmate.io

Orchestrate Promptmate.io AI workflows from customer conversations

You have built multi-step AI apps in Promptmate.io that combine ChatGPT, Gemini, and other models. Now your Tars AI agent can trigger those workflows during live customer conversations, connecting webhook events and listing available apps to deliver AI-generated results on demand.

Get started for freeSchedule a Demo
Chosen by 800+ global brands across industries

Multi-model AI apps, triggered by chat

Your AI agent connects to Promptmate.io's app library and webhook system, triggering AI workflows, managing event subscriptions, and listing available apps during live customer interactions.

List AI Applications

The agent retrieves your full catalog of Promptmate.io apps, understanding which AI workflows are available. Whether it is a content generator, data extractor, or image creator, the agent knows what tools it can invoke for each customer request.

Create Event Webhooks

When a customer action needs to trigger a downstream AI workflow, the agent creates a Promptmate.io webhook subscribed to job or row completion events. This connects conversation outcomes to automated AI processing pipelines.

Monitor Webhook Status

The agent lists all configured webhooks to verify that event subscriptions are active and properly connected. If a customer reports missing notifications, the agent can check the webhook configuration in real time.

Remove Event Subscriptions

When a workflow is no longer needed, the agent deletes the associated webhook by its ID. This keeps your Promptmate.io account clean and prevents unnecessary event callbacks from consuming resources.

Route to Specific Apps

The agent filters webhooks by restricted app IDs, ensuring that only the relevant Promptmate.io applications receive event notifications. Targeted routing means the right AI workflow runs for each customer scenario.

Track Workflow Results

By monitoring webhook callbacks for job completion events, the agent knows when a Promptmate.io workflow finishes processing. It can then retrieve and share the results with the customer who triggered the request.

Promptmate.io

Use Cases

AI workflows inside the conversation

Discover how Promptmate.io's multi-model AI applications integrate with customer conversations, turning chat requests into automated content generation and data processing pipelines.

On-Demand Content Generation for Customers

A marketing agency customer asks 'Can you generate social media captions for my product launch?' Your AI Agent checks available Promptmate.io apps, finds the social content generator, and creates a webhook to receive results. The multi-step prompt chain runs across ChatGPT and Gemini, producing platform-specific captions. The customer receives tailored content without waiting for a human copywriter.

Automated Data Processing Triggered by Requests

A customer uploads a CSV and asks 'Can you extract the key insights from this data?' Your AI Agent triggers the appropriate Promptmate.io bulk processing app via webhook, which runs the data through a multi-model analysis pipeline. When the job completes, the agent shares the structured results. Complex data work happens behind the scenes while the customer continues their conversation.

Webhook Management for Integration Health Checks

A technical customer reports 'My automated report pipeline stopped working.' Your AI Agent lists all active Promptmate.io webhooks, identifies the one linked to the reporting app, checks its configuration, and reports back. If the webhook was accidentally deleted, the agent recreates it on the spot. Integration issues resolved in a single conversation instead of an engineering ticket.

Try
Promptmate.io

Promptmate.io

FAQs

Frequently Asked Questions

How does the AI agent know which Promptmate.io app to use for a customer request?

The agent calls the List Apps endpoint to retrieve your full Promptmate.io app catalog. Based on the customer's request, it matches the intent to the most relevant app by name and description. You can also pre-configure specific gambit rules to map certain question types to specific Promptmate.io apps.

Can the agent trigger multi-step AI workflows that use multiple models like ChatGPT and Gemini?

Yes. Promptmate.io's multi-step workflows chain prompts across different AI models. The agent triggers these workflows via webhooks and receives the final output when the job completes. The complexity of the prompt chain is handled by Promptmate.io. The agent simply initiates and delivers results.

What Promptmate.io credentials does Tars need?

Tars requires your Promptmate.io API key, which you can find in your Promptmate.io account settings. This key authenticates all API requests for listing apps, creating webhooks, and managing event subscriptions.

Does Tars store the results generated by Promptmate.io workflows?

No. Workflow results delivered via webhooks are used in real time to generate conversation responses. The generated content, data extractions, or processing outputs are not persisted on Tars servers. Your Promptmate.io account remains the source of truth for all workflow outputs.

Can the agent create webhooks restricted to specific Promptmate.io apps?

Yes. When creating a webhook, the agent can specify restrictedAppIds to limit which Promptmate.io applications trigger that webhook. This ensures targeted event routing, so a webhook for your content generator does not fire when your data extraction app completes a job.

How is this different from using Promptmate.io with Zapier?

Zapier connects Promptmate.io to other apps through predefined triggers and actions. Tars connects it to live customer conversations. Your AI agent understands what the customer needs, selects the right Promptmate.io app, and delivers results conversationally. It is interactive and context-aware, not just a data pipeline.

What happens if a Promptmate.io workflow fails during a conversation?

If a webhook callback reports an error or the job fails, the agent can inform the customer that the request could not be completed and offer alternatives. The agent can also list active webhooks to diagnose configuration issues on the spot.

Can the agent manage multiple webhooks for different customer workflows?

Yes. The agent can create, list, and delete webhooks independently. Each webhook can be named, given a reference ID for tracking, and restricted to specific apps. This allows you to run multiple concurrent AI workflows for different customer segments or use cases.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

GDPR
ISO
SOC 2
HIPAA

Still scrolling? We both know you're interested.

Let's chat about AI Agents the old-fashioned way. Get a demo tailored to your requirements.

Schedule a Demo
Get in touch

Email - sales@hellotars.com

Get in touch

Email - sales@hellotars.com

Company
About usTerms and ConditionsPrivacy PolicyContact usCareers
Resources
Case StudiesBlogHelp DocsPartner ProgramCommunityChatbot Templates
Product
Knowledge HubToolsCategorizerConversational AIAI AnalyticsAI Evaluation
USE CASES
Finance & BankingInsuranceGovernmentHealthcareTelecom
© 2025 Copyright Tars Technologies Inc.