Cascade: hear, think, speak
Three specialists in a row.
Waypoint Travel is our booking example. We built it to show how a voice agent can handle a long, detailed booking: searching live airline fares, explaining fare levels, choosing seats and bags, and reading everything back before payment. The agent answers as Linda and runs on a cascade (speech-to-text, then a language model, then text-to-speech), where one model hears, another reasons and calls tools, and a third speaks, with our own code deciding when each turn starts and ends.
AssemblyAI
Google Gemini
Duffel
TelnyxGoogle Cloud
Resend
The architecture
Rings the demo number from any phone.

Telnyx streams the call to our service on Google Cloud Run, which pairs it with the live screen.
- Look up airports
- Search airline fares
- Price a flight and its fare levels
- Switch fare level
- Open the seat map
- and 7 more tools
Businesses this architecture works for
This one books flights, but the same build suits any call full of names, numbers and codes that have to be exactly right, and any booking that takes several steps. A few ideas:
- Travel agencies
Searches and builds flights, hotels and full itineraries.
- Hotels and vacation rentals
Takes dates, room types and guest details, and handles changes.
- Insurance agencies
Collects quote details like names, addresses, vehicles and policy numbers.
- Law firms
Takes new-client intake with names, dates and case details, spelled right.
- Clinic intake
Collects patient details and insurance information before the first visit.
- Logistics and freight
Reads back tracking numbers and books pickups.
- Event venues and catering
Takes dates, headcounts, menus and special requests.
- Car and van rental
Handles reservation codes, pickup times and extras.
- Accountants and tax preparers
Books appointments and goes through what to bring.
The stack
Streaming transcription, primed with the words that matter (airports, cities) and with its own end-of-turn detection.
A fast text model that reasons and calls tools through Google’s Agent Development Kit (ADK).
A voice designed for Linda, spoken while the reply is still being written.
Real airline search, fare levels, seat maps and bags. Nothing is ever booked or charged.
Answers the number and streams the call audio both ways in real time.
Bridges the call to the engine, runs the tools, keeps the records and pairs the call with the live screen.
Sends the confirmation email from fixed templates, with limits so a public line can’t be misused.
What this architecture does well
Details make or break a booking: an airport code, a surname, a seat. In our side-by-side test on noisy phone audio, this transcriber caught 97% of the key details, against 70% for the first one we tried.
The ear, the brain and the voice can each be swapped on their own as better models arrive, without rebuilding the rest.
Our code reads whether the caller has finished a thought or just paused, starts the reply early, and throws it away unheard if the caller keeps going. When the caller interrupts, queued speech is dropped and the next turn knows what they actually heard.
Codes the caller reads out are matched to the screen by code, not by the model, and common lines are prepared in advance so they play instantly.
What the demo shows on a call
- 01Finds the trip
Where from, where to, when and who. She looks airports up instead of guessing.
- 02Searches live fares
Real flights and prices from an airline booking system.
- 03Builds the booking
Fare level, seat, bags and traveller, one step at a time.
- 04Re-checks and reads back
The price is checked again and the booking read back before going ahead.
- 05Stops before payment
The booking screen fills in as she talks, and the itinerary can go out by email.
Guardrails in the demo
- Quotes only flights and prices the airline search returns
- Re-checks the fare and reads the booking back before going ahead
- Never books, holds or charges: the demo stops before payment
- Never asks for passport, date of birth or card details
Trade-offs
- A slightly longer pause before each reply than a single bidirectional model.
- More moving parts: three models from two providers, plus our own turn-taking.
- More engineering to build and to maintain.
The other two architectures
There’s no single right way to build a voice agent. Each demo shows a different one, and we choose per business. See them side by side.
Building for a different kind of business?
Tell us how your calls go. We’ll recommend an architecture and explain why.