I Gave My Strategist Agent WebSearch. 5 Topics Took 20 Minutes. Splitting It Into 3 Roles Made It 3.
The article discusses the author's experience optimizing an AI agent for topic selection. By splitting the task into three distinct roles, the author significantly reduced the time taken for topic selection from 20 minutes to just 3 minutes. The author emphasizes that removing WebSearch from the judgment process improved efficiency and reduced context pollution.
- ▪The original setup involved one agent performing all tasks, which took 20 minutes to select five topics.
- ▪By dividing the task into three roles, the author reduced the time to 3 minutes and cut token costs by about 60%.
- ▪The author argues that allowing the judgment agent to use WebSearch leads to inefficiencies and context pollution.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3800250) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Ken Imoto Posted on May 18 • Originally published at kenimoto.dev I Gave My Strategist Agent WebSearch. 5 Topics Took 20 Minutes. Splitting It Into 3 Roles Made It 3. #ai #agents #claudecode #harness I thought one agent doing everything was elegant. One claude -p call, "pick today's topics and write the articles," done. It took 20 minutes to pick 5 topics. Splitting it into three agents took the same job to 3 minutes and dropped token cost by about 60%.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
