Below is a copy/paste-ready reply for the forum thread “Something is happening with AI teammates.” It responds to Bastien’s tag and Esteban’s request for practical examples.
Sure! Here are the use cases I’ve been running with my AI Teammate at i.DO.
Context-aware assistant (the gateway use case)
Bastien covered this, and it really is the starting point. The difference with ChatGPT is that the AI Teammate already sees your task descriptions, comments, project structures. No need to paste context every time. I use mine for research, drafting, summarizing, and even creating or updating tasks directly from comments. Once you configure its behavior guidance (think of it as a system prompt), it adapts to your style and preferences over time.
Co-writing a newsletter
I’m building a personal newsletter about ADHD and productivity, and my AI Teammate is a full collaborator on the project. The Asana project contains the editorial plan (52 episodes, editorial guidelines, personas, past editions as reference). For each new episode, the AI Teammate creates the subtasks following the established structure, and we collaborate section by section in the comments until the draft is ready. It also proposes the editorial calendar and helps design feedback loops for readers.
The takeaway here: the more structured context you feed it upfront (project description, guidelines, past editions), the better the output gets. It’s an investment that compounds.
Pre-filling client case studies
After a client engagement, we have a task with structured notes and a subtask containing the meeting transcript. I assign a “Case Study V1” subtask to the AI Teammate, point it to these sources, and it generates a first draft following our case study template. Not perfect out of the box, but it saves about an hour per case study and gives a solid foundation to refine with the client.
Working alongside AI Studio Agents
AI Teammates handle the conversational, contextual work. On top of that, we run 8 AI Studio agents for repetitive automation (standardizing task titles, enriching leads, triaging form submissions, translating content…). Combined, that saves us around 11.5 hours per month. I shared a detailed breakdown here: How AI Studio Agents are saving us hours in Asana
Tip for @Esteban_Giannini and anyone getting started
Pick one workflow where your context already lives in Asana. Assign a task to the AI Teammate and start a conversation in the comments. The learning curve is surprisingly short once you start working on actual tasks instead of trying to plan the “perfect” setup first.
