Decide

Decide sends a piece of text, plus optional images, to your workspace’s decision model along with a batch of named questions. Every answer comes back structured, which makes it a fit for classifying, routing, scoring, or tagging text such as tickets, reviews, or survey responses.

Availability: Decide is a Beta feature. An admin must choose a decision model for the workspace under Settings → Capabilities before anyone can use it.

Question Kinds

predicate: a yes/no question, answered with a probability.
choice: pick one of 2 or more options, answered with the choice and a confidence.
score: rate on ordered levels, answered with a score and a confidence.

Turning It On

Go to Settings → Capabilities and find Decide under Agent tools.
Pick a Decision model: Enabled (OpenAI, needs an OpenAI key on api.openai.com, not Azure OpenAI) or Enabled (no BAA) (Typesafe Jev, not covered by a BAA).
Leave Available and Default on.

Setting the model to Disabled turns Decide off everywhere. Running it needs the Decision → Run permission, which admin and member roles have by default.

Using It

Turn on Decide in the chat’s + → Tools menu and ask Ana in plain language, for example: “Classify each of these support tickets by department and rate their severity.” Results show in a Decide card in the thread.

Python

Chat Python cells get decide(input, questions, *, images=None), and data app and dashboard compute functions get ana.decide(...) with the same arguments; the app needs a decide capability grant, which Ana adds for you. Each question has a name, instructions, and an optional kind plus options or levels.

result = decide(
    "The package arrived with a broken screen and the customer wants a refund.",
    [
        {"name": "damaged", "instructions": "Does the customer report a damaged item?"},
        {"name": "department", "instructions": "Which department should handle this?",
         "kind": "choice", "options": ["billing", "technical"]},
        {"name": "severity", "instructions": "How severe is the issue?",
         "kind": "score", "levels": ["low", "medium", "high"]},
    ],
)
result["answers"]["department"]["option_id"]  # "billing"

Limits

1 to 100 questions per call.
2 to 255 options per choice question, and 2 to 10 levels per score question.
Up to 16 images per call, 5 MB each. With Typesafe Jev, they must also total under 30 MB after conversion.
Not available in automated playbook or agent runs.

Get Started

How It Works

Set Up Your Data

Integrations

Ontology

Get Better Results

Admin & Security

FAQ

Legacy Features

Question Kinds

Turning It On

Using It

Python

Limits

​Question Kinds

​Turning It On

​Using It

​Python

​Limits

Question Kinds

Turning It On

Using It

Python

Limits