Speaker: Alexandria Hamilton
See live blog table of contents for more posts
Context
- One person company
- 32 agents
- Bottlenecks with human in the loop. Repeated a number of times that human is the bottleneck. Balance control and speed
- If fail, because of human
- “we” – agents part of team
Agents
- Each agent has own purpose
- Help with code, calendar, marketing, come up with lyrics, governance, cataloging, checking news
- Agents doing well so getting promoted to cloud and not human in the loop
- Org chart of agents; have leads
- Each agent has a specific thing to do/purpose
- Skills – ex: firecall, opensco, buffer
When don’t need agents
- Agents are expensive
- guardrail: 30 day waiting period before add another agent
Names
- Some people give them human names and treat as human teammates
- But want to be able to destroy when don’t need so don’t get too attached
Log
- Keep log of all workflow
- Log schedule, handoff, interactions, failures
- Stored in Obsidian
- “If it isn’t written down, the AI is improvising it”
- Helpful for finding old conversations/backup of human memory
Judge
- The LLM is never the judge
- Background agents help as judge
Claude
- Filter ideas with Claude
- Refine ideas
- Package and give to agents
- Using Max subscription. Want to space out token use
Consistency
- “Consistency is a byproduct of structure, not of intent, memory, or discipline”
- Slow and steady wins the race
- Ok if things break. Don’t want agents out in the wild doing whatever
- Ok with human being the bottleneck
- Some days failures because human not available
- Pimon looks for anomalies
Operating Loop
- Each agent runs certain days/times on a schedule (try to take Sunday off)
- Want to keep token usage low. Spreading out which days each runs helps
- Some talk to each other
- Give each specific things to do
Agent HQ
- Includes file describing each agent – persona, what does, example invocations
- Calendar showing when runs
- Output of Claude code
Health care
- Marketers need to show accurate
- Still need to go over data
Relationship with AI
- Not replacing us, argue with it every day.
- Partner, not intern
- Ask Claude how to make improvements: ex to agent schedule
Takeways
- Agents are good
- Human is the bottleneck. This is fine. See firsthand everything that went wrong
My take
The session I attended in this room also started 8 minutes late due to video issues. Not the speaker’s fault, but would be nice if someone announced that working on it. Her speaking style is great; high energy and clear which I really needed this morning! I feel inspired. Showing Agent HQ at the end was great!