AI Mode
Quick overview
AI Mode lets you interact with your Tability data using natural language prompts.
Instead of manually navigating plans, goals, and check-ins, you can ask questions and get quick answers, summaries, and suggested next steps. It is built to help you move faster from data to decisions.
What is AI Mode
AI Mode is a prompt-based assistant in Tability that helps you analyse and act on your workspace data.
You can use it to:
Summarise progress across plans, goals, and outcomes
Spot risks and blockers from recent check-ins
Draft weekly updates and leadership summaries
Explore trends with follow-up questions
Think of AI Mode as a faster, conversational layer on top of your existing Tability workflow.
Beta limitation
AI Mode is currently in beta.
During beta:
Responses can sometimes be incomplete or imprecise
Results depend on the quality and freshness of your goals and check-ins
Some complex prompts may need follow-up questions for the best output
Features and behavior may evolve quickly
Use AI Mode as decision support, and validate critical conclusions before broad sharing.
🎁 How to get more prompts during the beta
During the beta, AI Mode is free and available to everyone, with a monthly prompt limit.
Default limit: 10 prompts per month
Increased limit: 50 prompts per month
To increase your limit to 50 prompts per month:
Publish a 5-star review on G2
Send a screenshot of your published review via Tability support chat
Once validated, your monthly prompt allowance can be increased.
How to use AI Mode
Basic workflow
Open AI Mode in Tability
Ask a specific question (include team, plan, and timeframe when relevant)
Review the response
Ask follow-up prompts to refine the output
Turn insights into action (update goals, assign owners, prepare reviews)
Prompt tips
Be specific about scope (team, objective, timeframe)
Ask for output format (bullets, table, action plan, summary)
Ask AI Mode to explain why (signals, trends, blockers)
Example prompts
For managers
For individual contributors
Advanced prompt examples
Exec-ready retrospective
Parent/dependent plan misalignment
“Win the Week” coach mode
Best practices
Keep prompts clear and scoped
Include context like team and plan name
Use follow-up prompts to sharpen the result
Reuse prompts that work well for recurring reviews
Verify key decisions with source data when stakes are high
Last updated
Was this helpful?