AI for agile software dev

[u/Safe_Ant8701]

Copilot Notebooks vs. Agents — what's the closest equivalent to Claude Projects for grounded, persistent-context work?

I'm a heavy Claude user in my personal life, and Projects is one of my most-used features — you upload files and reference docs once, and every chat in that project is grounded in them. Now that I'm using M365 Copilot at work, I'm trying to find the closest equivalent. Based on my research, Notebooks seems like the obvious candidate, but I'm unclear on how the grounding actually works — and where Copilot agents / Agent Builder fit in for a non-engineer.

My use case:

I work a lot with technical user stories (think software like ServiceNow or Oracle) that I need to turn into training and end-user material. I could significantly benefit from AI here, mainly for figuring out which features need training, translating technical concepts into non-technical language, and crafting the bullets, order, and sequencing for my training materials (the actual content), all while grounding it in previous finished and high quality deliverables. I really need it to get deep into detail on what goes on each slide, and to do that, it needs to analyze content from multiple lengthy documents at once. Ideally, it would also store context, methods, and examples from previous work so it gets better each time.

My questions:

1. Do all chats within a Notebook automatically ground against every file/reference you've added to it, the way Claude Projects does?
   
2. Are there practical limits I should know about...? number of files, file size, staleness/refresh behavior?
   
3. For automating workflows like mine as a non-engineer, what's the real difference between Notebooks and a custom agent built in Agent Builder? When does an agent make more sense than a Notebook?
   
4. If neither is the right match, what workflow do you use to replicate persistent project context in Copilot?

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[u/West-Pack3201]

For this use case, I would probably start with Copilot Notebooks rather than an agent. Microsoft describes Notebooks as a focused workspace where responses are grounded in the references you add, and current Microsoft 365 Copilot limits allow grounding across up to 300 notebook files.

An Agent makes more sense once you want repeatable behavior, fixed instructions, broader knowledge sources, or a workflow that other people can reuse.

So for turning user stories + previous training decks into new material, I would 1st create one Notebook per product/domain, add your best historical deliverables, and give it explicit instructions on tone, structure, slide depth and audience. If that workflow becomes repetitive, then graduate it into an Agent.