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AI agents are moving beyond chat and into real work. In this episode of the Superhuman AI Podcast, Sandra Dajic shows how no-code AI agents can actually run workflows across a business — taking actions, not just answering questions.
Sandra walks through how non-technical teams are building AI agents that cancel subscriptions, send invoices, book meetings, handle customer support, and connect tools like Stripe, Calendly, and Zendesk without engineering help. This is a practical look at how AI agents are becoming an operational layer inside modern companies.
We dive into:
- How no-code AI agents take real actions inside workflows
- Automating support, sales, and operations without engineers
- Connecting AI agents to Stripe, Calendly, Zendesk, and APIs
- Turning customer conversations into marketing and product insights
- Choosing models like GPT-4 or Claude to control tone and behavior
- Why AI agents are replacing manual, repetitive work
- What real AI automation looks like in practice
If you want a clear, grounded view of how no-code AI agents are being used today — and how to start building workflows yourself — this episode shows exactly how it works.
Subscribe for deep conversations on AI, agents, and the future of intelligence.
By Superhuman AI4.8
88 ratings
AI agents are moving beyond chat and into real work. In this episode of the Superhuman AI Podcast, Sandra Dajic shows how no-code AI agents can actually run workflows across a business — taking actions, not just answering questions.
Sandra walks through how non-technical teams are building AI agents that cancel subscriptions, send invoices, book meetings, handle customer support, and connect tools like Stripe, Calendly, and Zendesk without engineering help. This is a practical look at how AI agents are becoming an operational layer inside modern companies.
We dive into:
- How no-code AI agents take real actions inside workflows
- Automating support, sales, and operations without engineers
- Connecting AI agents to Stripe, Calendly, Zendesk, and APIs
- Turning customer conversations into marketing and product insights
- Choosing models like GPT-4 or Claude to control tone and behavior
- Why AI agents are replacing manual, repetitive work
- What real AI automation looks like in practice
If you want a clear, grounded view of how no-code AI agents are being used today — and how to start building workflows yourself — this episode shows exactly how it works.
Subscribe for deep conversations on AI, agents, and the future of intelligence.

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