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21 daily use cases after 2.54 billion tokens

Matthew Berman spent 2.54 billion tokens refining his OpenClaw setup into 21 daily workflows. This is one of the most heavily iterated setups in the community.

What His Agent Handles

How He Built It

Each of the 21 workflows went through multiple iterations of prompt refinement, memory structure optimization, and edge case handling. The 2.54B tokens represent the sheer volume of interaction needed to tune it properly. MD file structure and memory architecture shared publicly.

Results: 21 daily workflows refined through 2.54B tokens. Memory architecture shared publicly.
I've spent 2.54 BILLION tokens perfecting OpenClaw.
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Frequently Asked Questions

Matthew Berman spent 2.54 billion tokens refining his setup to get 21 daily workflows running reliably. Each workflow went through multiple iterations of prompt refinement and edge case handling.
CRM management, email triage, scheduling, content creation, research, project tracking, and memory system maintenance across short-term and long-term files.
Yes. Matthew shared his MD file structure and memory architecture publicly for others to copy and adapt.

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