Modular runtime prompts
Your instructions compile into stage-specific prompt modules, not one giant markdown file. Tune objectives, persona, and policy per workflow step without prompt engineering.
The agent harness for customer engagement. Your tools, your rules, any workflow, every channel.
A walkthrough of building an AI agent in Myna. In Workflow Studio you add agent nodes, connect tools such as HubSpot, Stripe, Zendesk and Shopify, and write rules and tool policies in plain language. In the Memory Hub the agent learns a business from its website, and a persona sets its voice. You connect channels such as SMS, web chat and email, set a reply policy for each channel, and publish. The agent then answers a shopper in web chat and suggests products in a carousel. Developers can build the same agent from a single prompt with the Myna agent development kit.
Make the most of every customer interaction.
Answer every inquiry, qualify every lead, schedule on multiple job calendars without losing the human touch.
Reliably answer questions by patients in and out of business hours. Book, modify, and reschedule appointments, without tying up the front desk.
Answer product and order questions, recover abandoned carts, and hand off issues to your team.
Keep the calendar full with booking by text, reminders that cut no-shows, and rebooking nudges.
Take reservations and answer hours, menu, and wait-time questions by phone and text during the rush.
Reply to every inquiry in seconds, pre-qualify borrowers and buyers, and book consultations without promising rates or approvals.
Run white-labeled agents across multiple client accounts. Manage reporting and re-billing, directly from your domain.
Battle-tested infrastructure with built-in telephony, so volume never costs you speed or accuracy.
100,000,000+
Operations processed
Myna is the production runtime that wraps the model with policy, tools, gates and a composer, so agents can act on real customer conversations safely.
Your instructions compile into stage-specific prompt modules, not one giant markdown file. Tune objectives, persona, and policy per workflow step without prompt engineering.
Tool work and customer-facing text are separate stages. A dedicated composer writes every reply from confirmed results, with tone controls you can dial in and test, and formats each message for its channel.
Every action has typed inputs and outputs, policy rules, critical flags, idempotency, and throttling. Side effects are explicit and safe to run in production.
Pre-gates stop opt-outs, takeovers, after-hours sends, and caps before the model runs. Post-gates catch false booking claims and prompt leakage with evidence, not model judgment.
The same runtime powers SMS, WhatsApp, email, and more, with per-channel compliance, warm-up, daily limits, and throttles built in.
Playbooks, case studies, and product notes on running customer conversations with AI.
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Developer & technical insights Nov 12, 2026 11 min read
Ten years after the first chatbot boom, conversational AI finally works, just not in the shape anyone predicted. Here are eight shifts that will decide what it looks like in 2027.
Developer & technical insights 11 min read
One agent that does everything eventually does nothing particularly well. Here's when to split a conversational agent into a team of specialists, the patterns that work, and how to build one with nodes in Workflow Studio.
Myna news & product updates 3 min read
The Myna CX app is out now on the App Store and Google Play. Watch your AI agents work, take over any conversation with one tap, and keep contacts, tickets and your calendar on your phone.
$4.4M in new business
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92% CSAT score
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4x increase in booked meetings
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