Researcher Slashes AI Agent Usage by 45% After Burning Through Claude's Token Limit in 30 Minutes

A researcher burns through his entire Claude Max token limit in just 30 minutes after launching 111 AI agents, then redesigns his pipeline by assigning cheaper models to basic tasks, reserving frontier models for planning only, and enforcing strict verification rules — cutting agent usage by 45% and extending research runtime from 30 minutes to several hours.

• A researcher building an AI-powered knowledge base burns through his entire Claude Max token limit in 30 minutes after launching 111 agents, prompting him to redesign his pipeline using multiple AI subscriptions he already pays for, including Claude, Codex, and Antigravity, with shared memory and role-specific model assignments.
• To cut costs without extra spending, cheaper models now handle finding and extraction tasks while more accurate models handle verification, and expensive frontier models are reserved only for planning and dispute resolution, extending continuous research time from 30 minutes to several hours.
• Trust is enforced through strict verification rules requiring primary source URLs and quotes for every claim, with findings separated from the projects they describe, and deep research now runs last on pre-verified claims rather than first, reducing agent usage from 111 to 61 per run.