Jay, Myna, Robin
Jay gets every location found — on LLMs, listing sites, Google and social.
Myna runs the front office — answering, booking and reminding customers to come back.
Robin closes the feedback loop — sending surveys and creating tickets.


Jay gets every location found — on LLMs, listing sites, Google and social.
Myna runs the front office — answering, booking and reminding customers to come back.
Robin closes the feedback loop — sending surveys and creating tickets.

Procedures are the steps of a customer journey, written in plain English — how a booking goes, what a refund needs. So when a customer asks about pricing mid-booking and then circles back, the agent follows, never losing its place and never skipping a step.

Workflows automate your repetitive tasks across every marketing function, running on a schedule or triggered by an event — fully autonomous where you allow it, with a human in the loop wherever you want one.

Upload real transcripts, SOPs, or recordings, and Agent Studio builds an agent from them. From there, everything is a conversation — describe how you want the agent to behave all in natural language.

Upload sample transcripts, recordings, or SOPs and Agent Studio builds an agent from them. From there, everything is a conversation — describe how you want the agent to behave all in natural language.

Every step, tool call, and decision is logged with its reasoning attached, so whether it's a test run or a live customer call, you see not just what the agent did, but why

Evals quietly test your agents in the background, using conversations like the ones customers actually have. Every test finds opportunities to improve outcomes, applied continuously.

Leave feedback notes for the agent on any conversation, and Ghostwriter turns your coaching into procedure changes the agent enforces on every call thereafter. Quality rises with each note — and so does coverage.

Agents keep a complete, auditable history of every change. They never stop working while a new version is being built and tested.

Every action a coworker takes is traced and logged — every decision, every tool call, in plain sight. Evals run continuously, and it all rides on infrastructure built for 99.999% uptime..
Quality improves from both directions: AI recommendations surface what to to improve, and human feedback works like coaching — coworkers take the note and improve, the way great employees do.

Birdeye offers 30+ agents grouped under three AI coworkers. Jay runs marketing with the Review Generation, Review Response, Listings Optimization, AI Search Optimization and Social Publishing agents. Myna runs operations with the Front Desk, Appointments and Reminders agents. Robin runs customer experience with the Survey, Ticketing and Reporting agents, and more.
They are Birdeye's three AI coworkers, one set at every location. Jay handles marketing and gets each location found and chosen. Myna runs the front office, answering, booking and reminding customers. Robin automates the entire customer feedback loop, from surveys through to insights and tickets.
An AI agent builder lets you create a custom agent without writing code. In Birdeye that is Agent Studio: upload real call transcripts, SOPs or recordings and it builds an agent from them, then you refine how it behaves by describing it in plain language.
Only if you allow it. Every agent runs in the mode you choose, fully autonomous or drafting for a person to approve before anything goes live. You set this per agent and per job, so routine work runs on its own while sensitive work waits for sign-off.
No. Agents are configured in plain language rather than code. You describe the outcome you want, attach the context the agent should use, and choose whether it acts on its own or waits for approval. No engineering resource is needed to launch or change an agent.
Every agent is evaluated continuously against conversations like the ones your customers actually have, and every action is logged with its reasoning. When something needs improving you leave a note on the conversation and the agent's procedure updates, so the correction applies to every job after it.