Documentation Index
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Learn Ringg AI in order: lessons in seven parts take you from a blank workspace to a payment-reminder system that calls, listens, follows up and reports.
| # | Part | What you do | Lessons |
|---|---|---|---|
| 1 | Getting to know Ringg AI | What Ringg is, how a call flows through it, and where everything is in the dashboard. | 3 |
| 2 | Building your first agent | Create the reminder agent, write its prompt, choose its voice and language, and test it with a real call. | 4 |
| 3 | Making your agent smarter | Give the agent the customer’s details, Acme’s policies, a CRM lookup, and a record of what was said. | 4 |
| 4 | Taking your agent live | Numbers to call from, a campaign over a calling list, and the other channels: inbound, web and WhatsApp. | 4 |
| 5 | Designing multi-step conversations | When one prompt is not enough: multi-prompt agents, workflows that chain calls and messages, and versions you can A/B test. | 3 |
| 6 | Measuring and improving your agent | Read the logs and analytics, set up evals and alerts, and fix the prompt from what you find. | 4 |
| 7 | Capstone: EMI reminders end to end | Verify each piece against a checkpoint, add the CRM webhook and a call limit, then run the real campaign and read its report. | 4 |
| Section | What it is |
|---|---|
| Objective | What you can do after the lesson, in one sentence. |
| Hands-on | The steps, with the dashboard video where there is one. The detail lives on the linked reference page. |
| Checkpoint | What you should see when it worked. |
| Exercise | One change to make on your own, with its expected result. |
| Quiz | One question on the lesson’s objective. The feedback explains the rule either way. |
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