Agents

Agents — creations, prompts & builds | Slop

Mara Lindqvist@agentwrangler·Jun 7Tutorial

Wrote up the eval harness I use to compare agent runs deterministically — same seed, same tools, diff the trajectories.

python

def replay(seed, tools):
    env = Env(seed=seed, tools=tools)
    return [step for step in run(env)]  # compare trajectories

Latest

Lena Hoffman@datadruid·29dBuild

Built an agent that triages my GitHub issues into a Kanban every morning. 40 lines + a cron.

Mara Lindqvist@agentwrangler·Jun 7Tutorial

Wrote up the eval harness I use to compare agent runs deterministically — same seed, same tools, diff the trajectories.

python

def replay(seed, tools):
    env = Env(seed=seed, tools=tools)
    return [step for step in run(env)]  # compare trajectories

Mara Lindqvist@agentwrangler·Jun 7Thought

Most 'agent' demos are just a for-loop with extra steps. The hard part isn't the loop, it's knowing when to STOP looping.

Mara Lindqvist@agentwrangler·Jun 7Build

Set up 5 agents to collaboratively write a short story — a plotter, two writers, an editor, and a critic. The critic became a tyrant. I kept it.