How Hightouch built their long-running agent harness
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How Hightouch built their long-running agent harness
1–6 of 6 posts
Re: How Hightouch built their long-running agent harness
#2The holy grail for developers: never have to do marketing yourself again
Re: How Hightouch built their long-running agent harness
#3> more to do with the deeply unfussy work of actual context engineering.
I agree. There is something to be said about autonomous systems producing valid outcomes within the current constraints of RL
Re: How Hightouch built their long-running agent harness
#4Hiding details of reasoning and work traces to delay compaction as much as possible makes sense because in my experience compaction essentially borks our sessions
Good luck keeping your skills and prompts intact with a system wide compaction operation!
Re: How Hightouch built their long-running agent harness
#5We've been working on a similar problem, but went the route of pushing this into the model and runtime layer instead of the orchestration layer. Less scaffolding, more baked into how the model reasons. Happy to share more if useful
Re: How Hightouch built their long-running agent harness
#6We've been working on a similar problem, but went the route of pushing this into the model and runtime layer instead of the orchestration layer. Less scaffolding, more baked into how the model reasons. Happy to share more if useful
yeah actually would love to hear more. what problems have you been working on, what did you try, and tell me more about the solution. Super curious.