We鈥檝e been building a lot more agents lately, and I鈥檝e landed on a pretty straightforward process for getting from idea to working agent without overbuilding the infrastructure.
If I were building an internal agent today, I鈥檇 do it like this:
1. Start in a managed environment.
Our @linear has become a wasteland of impossible to read cards now that Claude is basically doing it all, and it's made linear unusable for our humans.
I'd love if @karrisaarinen could share what they put in their claude.md or equivalent to work in @linear effectively as a team
We鈥檙e building marketing agents for a logo you certainly know, that鈥檚 running ~1,100 ads at a time.
There's just no human way to track how different ICPs are responding across all of them.
... but agents can.
Paid teams have spent years building systems around spend,
If you want to find a good AI agent use case inside your company, spend time studying how one person actually does their job.
We鈥檙e currently building managed agents for marketing teams, and most of the work starts with understanding the existing workflow in detail.
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