Hi Guys,
like many of you I work with AI agents every day and across several clients.
The major time cost for me is to re-explaining context and past decisions, client rules, that we already do. To finish every tools as its own memory.
So I’m curious how you actually handle this:
1. When you start a new session, how do you give context to the agent (context came from chat, mail, ticket ...) ?
2. Do you use more than one agent type (claude, codex ...) ? And if yes, how do you carry context between agents ?
3. If you work for several clients, how do you keep their context separate ?
4. The last time something went wrong ( an agent used a rejected approach, forgot a decision ...), what happened, and how much time did it cost to you ?
5. Did you paid or built a tool that helped you with these problems ? Do you still use it ?
I’m exploring whether to build something, so I’m trying to learn how other people really work.
Thanks for your return.
So I’m curious how you actually handle this:
1. When you start a new session, how do you give context to the agent (context came from chat, mail, ticket ...) ?
2. Do you use more than one agent type (claude, codex ...) ? And if yes, how do you carry context between agents ?
3. If you work for several clients, how do you keep their context separate ?
4. The last time something went wrong ( an agent used a rejected approach, forgot a decision ...), what happened, and how much time did it cost to you ?
5. Did you paid or built a tool that helped you with these problems ? Do you still use it ?
I’m exploring whether to build something, so I’m trying to learn how other people really work. Thanks for your return.