AI agents
AI agents that work with your tools and data
Give an AI model a job, the tools to do it and the context it needs. In Triggerflow an agent is part of a workflow: it can read your documents, query your database, call your APIs and hand results to the next step, and you can see every decision it made.
Your choice of model
OpenAI, Anthropic Claude, Google Gemini, Mistral, Cohere and more, chosen per agent.
Memory and tools
Conversation memory, a calculator, HTTP requests, other workflows as tools and your own data sources.
Publish as a chat
Put an agent on your website as a chat with your colours, or connect it to WhatsApp.
See what it did
Every run shows the agent's messages and tool calls, so you can improve the instructions with real examples.
How it works
- Add a trigger: A chat message, a WhatsApp message, an email, a form or a schedule.
- Add the AI Agent: Choose a model, write its instructions and connect memory and tools.
- Test and publish: Chat with it in the editor, then activate the workflow or publish the chat.
Start from a template
- AI chat assistant with memory: A website chat that remembers the conversation.
- Answer questions from your documents: An agent that answers from your own content.
- Flag unhappy customer reviews: AI that reads reviews and alerts your team.
Questions
Do I need my own AI API key?
Yes. You connect your own key for the model provider you choose (for example OpenAI or Anthropic), and pay that provider for usage.
Can an agent take actions, not only answer?
Yes. Tools let it call APIs, run other workflows or write to your systems. Use an approval step for anything that should be checked by a person first.
Is my data used to train models?
Triggerflow doesn't train models. What the provider does with API data depends on that provider's terms; most major providers don't train on API traffic by default.
Can I limit what an agent can reach?
Yes. An agent can only use the tools and credentials you connect to it, and outbound requests follow the server's network policy.
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