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3,000 Agents Later, We Realized We Were Talking to Claude All Wrong
ToolsJune 9, 2026·7 min read

3,000 Agents Later, We Realized We Were Talking to Claude All Wrong

We built 3,000+ agents in ChatGPT before discovering why Claude was wasting 63% of tokens on filler. Here's everything we learned in almost 3 years.

Todd Ross
Naty Ross

Todd & Naty Ross

Co-Founders, Hub365

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I am going to be honest with you. The first time I used Claude, I thought it was worse than ChatGPT. Slower, more cautious, less impressive. ChatGPT gave answers that sounded brilliant in 3 seconds flat. Claude took its time and sometimes said I am not sure about this.

That was July 2023, the day Anthropic opened Claude 2 to the public. Todd and I signed up that same afternoon. We had already used ChatGPT for 8 months and built over 3,000 custom agents, so we had a solid point of comparison. Almost three years later, Claude is the backbone of what we deliver: marketing strategies, bilingual content, follow up sequences, conversion funnels and complete digital ecosystems across more than 12 industries.

01 · Our timeline with Claude

02 · ChatGPT versus Claude after 3,000 agents

We use both, every day. We are not the X is better than Y crowd.

03 · The 63% discovery and the architecture mistake

Three months in, conversations were degrading and Claude gave three paragraphs of preamble before a simple answer. It was not Claude, it was our setup. A developer published an open source project, claude-token-efficient, with 8 rules that cut output tokens by 63 percent with zero information loss.

04 · The numbers (Todd's technical take)

05 · 6 things you can fix right now


I want the Claude project prompt builder

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Sources

Drona Gangarapu, claude-token-efficient open source project (github.com/drona23/claude-token-efficient).

June 9, 2026
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