Where's everyone landing these days on the use of agents in the workplace? Our team has experimented with Hermes, Viktor, Cursor cloud agents, and homegrown Langchain agents. We always end up with the same challenges — separate context files from the main repo that easily fall out of sync, decaying reliability as the context stored in persistent memory piles up, and the team unsure where to ask the bot versus do something in Chat or Claude. Anyone cracked the code on how to make these most useful yet?
Hey Hanna Huffman We have various different agents for differet use cases Baseline reporting Key metrics Competitor tracking Top citation opportunities in..,top whitespace opportunities Emerging themes Alerts etc We often have a skill step after these agents eg
Create a doc or sheet that is stored in Profound [for other agents to refer back to or for context] -- then feed that through a skill to give us what we want/need
Pass the data to Slack or Gamma with a skill associated
Thanks, David and Hanna Huffman. I find this topic especially interesting because it touches on the core quality of the platform’s recommendations. David, your answer helps clarify the operating pattern: Profound specialized agent → Doc or Sheet → Skill → destination The remaining question for me is how Profound distinguishes persistent memory from the current state of context. For example, a later Agent might have access to:
Personal Context and persistent preferences
the current Brand Context
live Profound data
Knowledge Base or synced sources
an earlier Doc or Sheet created by another Agent
If those sources disagree, which one takes precedence? Is the earlier Doc or Sheet treated as a dated record of what the Agent knew at that time, or can it become part of the context used as current truth? Can the user see which source or version shaped the later Agent’s output?
I think it all depends on the agent Hanna Huffman If you instruct it to only pull data from the stored docs/sheets, it will do that If you have a node in there that asks it to pull from the context manager, the output will be influenced by that Some of my agents intentionally have knowledge base / context manager steps; others don't
