Parses messages into intents, entities and traits, detects language, adds training data, and audits or exports an app's model.
31actions available
Every action runs live through MCP. Nothing to build, nothing to maintain.
Ayro analyzes customer text to extract intents, entities, and traits in one call. Your team understands exactly what customers are asking for without manual parsing.
Ayro creates a new Wit.ai app to train custom language understanding models. Your team builds domain-specific NLU without leaving the conversation.
Ayro adds keywords and synonyms to Wit.ai entities to improve intent detection. Your team teaches Ayro to recognize your industry terminology automatically.
Each card is one request a support team gets, and the Wit.ai actions Ayro runs to close it.
Ayro sends the text through the app's model to extract its intent, entities, and traits, and detects which locale it was written in with confidence scores before deciding how to route it.
Ayro defines a new intent, adds the custom entity type it depends on, and submits annotated training utterances so the gap a customer just exposed is covered in the next parse.
Ayro adds a keyword to a keywords entity, attaches the synonyms customers actually type for it, and extends a trait with an extra value when the existing ones are too coarse.
Ayro reviews the training utterances filtered by intent, lists the app's tag groups to see which snapshots exist, and exports the whole app as a backup ZIP with a download URL.
How it works
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the Wit.ai actions it has and picks the ones a request needs.
Authorize the Wit.ai account your team already uses — one consent screen, no API keys, no mapping tables. Ayro can only do what you granted that account, and you can disconnect it at any time.
Describe the job the way you would hand it to a teammate. Ayro maps it to the Wit.ai actions that close it and chains as many as the request needs.
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started freeWit.ai · Ayro
What can you do in Wit.ai without me setting anything up?
These, right away:
Great, let's start with the first one.
FAQ
Setup, permissions, and the limits of what Ayro can do inside Wit.ai.
Create Wit.ai Training Utterances is rate limited to 200 samples per minute. For a large import Ayro paces the calls against that ceiling rather than submitting everything at once, and List Utterances confirms afterwards what actually landed.
All 31 actions your agent can call on Wit.ai, straight from the live MCP connection.
Add a keyword with optional synonyms to a Wit.ai entity.
Add a new synonym to a keyword in an entity.
Add a new value to an existing trait in Wit.ai.
Create a new app in Wit.ai.
Create a new entity in Wit.ai.
Create a new intent in Wit.ai.
Create a new trait in Wit.ai.
Add training utterances (samples with annotations) to your Wit.ai app.
Delete a specific app from wit.ai.
Permanently delete an entity by name.
Delete a keyword from a keywords entity in wit.ai.
Delete a specific role from an entity in wit.ai.
Permanently delete an intent by name.
Delete a synonym from a keyword in an entity.
Delete validated utterances (training samples) from your Wit.ai app.
Detect the language of a given text input.
Export Wit.ai app data as a backup ZIP file.
Retrieve metadata and settings of a Wit.ai app.
Retrieve details of a specific entity including keywords and roles.
Retrieve details of a specific intent.
List all intents in a Wit.ai app.
Analyze a text message and extract its intent, entities, and traits.
Retrieve details of a specific trait.
List all traits in a Wit.ai app.
Retrieve details for a specific text-to-speech voice.
Retrieve the list of all Wit.ai apps for the authenticated user.
Retrieve all tag groups (versions) for a Wit.ai app.
List all entities in a Wit.ai app.
Retrieve training utterances (samples) from a Wit.ai app.
Retrieve all available text-to-speech voices grouped by locale.
Same connection, same setup. Pick the next one your team already uses.
Reads the available voice catalogue, returning each voice_id, name, gender, and language, and narrows it to one language code on request.
Searches the toolkit catalogue for the right action, walks users through authorising accounts, executes tools singly or in batches, and enables triggers.
Generates text, speech, images, and Veo video from a prompt, embeds text for semantic search, and counts tokens before a call is made.
Submits documents for conversion, tracks the job by its whisper hash, retrieves the extracted text, and manages the callback webhooks.
Runs a template against supplied data, reports app job status and results, and manages the webhook subscriptions behind those jobs.
Registers and announces agents, discovers peers by capability, opens and answers collaboration requests, and checks SwarmScore and trust records.

Authorize the account and your agent has all 31 actions from the first conversation.
