I burned all my tokens researching how to save tokens
Summary
The article examines token economics in AI agent research and presents a cost-saving pipeline that extends compute time without additional spend. It demonstrates multi-model orchestration using Claude, Codex, and Antigravity with shared memory, plus a small Bash-based runner to route tasks between subagents. It also discusses reducing hallucinations through explicit verification rules and a hybrid human-AI workflow to build a trustworthy knowledge base.