How to Migrate From Retell AI to Open-Source Voice AI: Step by Step
A step-by-step move from Retell AI to Dograh: read agents from Retell's API, rebuild the flow, re-point webhooks, test, then take numbers off Retell's trunk.
23 stories
A step-by-step move from Retell AI to Dograh: read agents from Retell's API, rebuild the flow, re-point webhooks, test, then take numbers off Retell's trunk.
Follow one caller's sentence through speech-to-text, the language model and text-to-speech, with where the time goes at each stage and what breaks between them.
What a voice AI orchestration layer does on a live call, from custom dictionaries and turn detection to transfers, voicemail and speech-to-speech models.
How a voice agent decides the caller is done, when to stop talking, and which sounds to ignore, with the settings that control each decision.
How cascade and speech-to-speech voice agents compare on tool calling, latency, voice and cost in 2026 benchmarks, and how to choose per agent.
A step-by-step move from Vapi to Dograh: export assistants, rebuild the flow, re-point webhooks, test on a spare number, then move phone numbers one at a time.
Build an AI receptionist in Dograh, step by step: a hair salon greeting, an FAQ knowledge base, booking through an HTTP tool and a transfer you test by phone.
AI voice agents for after-hours coverage answer and book calls overnight and escalate urgent ones. See what happens when the on-call phone isn't answered.
Best AI receptionist software, split into ready-made products and build-your-own platforms, with list prices in each vendor's own unit and who can self-host.
Five tests to run before a voice agent takes real calls: a web call, simulated callers, repeat runs per leg, a real phone call and a small load test.
What Dograh's QA node checks after each call, and why a 5-10% sample of live calls is enough to find common failures within days.
Where to split a voice agent's call into nodes, where exact wording comes from, and how to prove each leg holds up over repeated runs.
Open one bad call's trace, find the first layer that went wrong, and replay that step several times before you change the prompt.
How webhook-driven voice agents move call data in and out: what Dograh sends after a call, how to avoid duplicates and how to catch results that never arrive.
How to automate voice workflows with n8n and webhooks: start calls from any trigger, sync every call result, and answer the agent mid-call without dead air.
How to book Calendly meetings during a live voice agent call: the two requests, the details Calendly needs, and what to do when a slot is taken first.
How API triggers let you start a voice agent call from any system: the request, the reply, what to put in initial_context and the consent check up front.
How to connect a voice agent to your CRM, calendar and workflow tools. Integrating voice agents with your stack, from starting calls to syncing every result.
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