Do I need to know how to code?

No. You describe the workflow in plain English—what Retell AI should do, where data should go, what triggers the run—and Twin builds the agent. You can adjust the description if the behavior needs tuning, but no code is required at any point.

Can my Retell AI agent run on a schedule?

Agents built with Twin can run on a schedule you define. For example, a call transcript sync agent can pull new Retell AI records every morning and write them to Google Sheets without any manual trigger. Scheduling is set when you configure the agent.

Which Retell AI agents in the Twin community can I clone?

Browse the Retell AI grid further up the page for community-built starting points; each card surfaces run and clone numbers to help you pick. It is almost always faster to clone a Retell AI agent than to spec one from scratch.

Which data sources can the agent read before sending a message?

The most common pairing is Google Sheets—agents read columns like Name, Phone, Date Contacted, and Follow-Up Stage to decide who gets a message. Agents can also pull from Airtable, Google Docs, or other connected sources.

Integration pair

Retell AI and Twilio integration with AI agents

Build AI agents that bridge Retell AI and Twilio — read from one, act on the other, and keep them in sync without writing integration code.

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Integration guide

How Twin uses Retell AI and Twilio inside repeatable agent workflows

Twin treats Retell AI and Twilio as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.

The page below shows the practical automation patterns for Retell AI and Twilio: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.

Common starting points include lead enrichment from call data, crm automation after calls, voice triage routing. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.

Twin is most useful when wiring Retell AI and Twilio together usually means a Zap, a script, or a webhook to maintain. Twin runs the agent end to end across both, so you describe the outcome instead of the plumbing.

What you can do with Retell AI and Twilio

Real Retell AI and Twilio workflows the Twin community runs every day, ready for you to clone.

Push Retell AI updates into Twilio

When Retell AI signals a change, sync the relevant context into Twilio without writing glue code or maintaining a webhook.
Explore
Mirror Twilio state back into Retell AI

Keep Retell AI records aligned with what is actually happening in Twilio, with the agent reconciling differences on a schedule you set.
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Build agents that span Retell AI and Twilio

Describe the cross-tool workflow in plain English; the agent calls both Retell AI and Twilio with the right auth and retries between them.
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Trigger Twilio actions from Retell AI events

Watch Retell AI for the change you care about, then have the agent act in Twilio — with full context preserved across the hop.
Explore

How it works

Three steps from idea to a running Retell AI and Twilio agent.

1

Connect via OAuth

Sign in to Retell AI and Twilio once. Twin securely manages the connection and handles token refreshes for you.
2

Describe the workflow

Tell Twin in plain English what you want done in Retell AI and Twilio. The agent figures out the API calls itself.
3

Twin builds and runs

Twin assembles the agent, runs it on demand or on a schedule, and adapts when Retell AI and Twilio responds in unexpected ways.

Why Twin for Retell AI and Twilio

What makes Twin a better fit than a generic automation tool.

One agent, two platforms, no glue code

Wiring Retell AI and Twilio together usually means a Zap, a script, or a webhook to maintain. Twin runs the agent end to end across both, so you describe the outcome instead of the plumbing.

Auth that stays out of your way

Twin handles Retell AI and Twilio credentials, refresh tokens, and rate limits. You connect once and the agent reuses both sessions on every run, including when the platforms change behavior under it.

Adapts when either side shifts

When Retell AI or Twilio changes a field, surface a new screen, or rotates an endpoint, Twin's runner adjusts at run time and reports back instead of failing the next scheduled job.

Retell AI and Twilio agents from the community

Be the first to build a Retell AI and Twilio agent.

The Twin community hasn't published a Retell AI and Twilio agent yet — describe what you'd like to automate and we'll build it for you in minutes.

Build the first Retell AI and Twilio agent

Common Retell AI and Twilio use cases

Patterns that show up across the Twin community — start from one and adapt it.

Lead enrichment from call data

Extract and structure lead details from Retell AI SMS and voice conversations.

See use case

CRM automation after calls

Push call outcomes and booked appointments into your CRM automatically.

See use case

Voice triage routing

Classify inbound call intent and route to the right queue or follow-up action.

See use case

SMS-based lead qualification

Qualify inbound leads through Retell AI SMS flows before routing to sales.

See use case

Build with more than Retell AI and Twilio

These related integration pages give crawlers and readers another path through the automation catalog. They connect Retell AI and Twilio to nearby apps, categories, and paired workflows that teams often evaluate together.

See all integrations