Things I shipped last weekend:
1. Offsite @QuesmaOrg presentations and photos, hosted on our own site behind SSO. Live the day after the event.
2. Animated visualizations for FlexDrill, because the founder asked.
🧵 1/4
AI token efficiency is becoming its own engineering discipline.
Not just prompt trimming, and not just choosing a cheaper model.
It is about understanding the full system:
• which model handles which task
• how much context is actually useful
• when caching helps
• where agents repeat work
• how memory changes cost
• when verification is worth the extra tokens
• how routing affects quality and spend
That is what we are trying to capture with Awesome AI Tokenomics.
The goal is to build a practical map of how AI systems spend tokens, where they waste them, and which architectural choices actually improve the cost-to-quality ratio.
It now covers tools, research, practices, claims, and reusable setups across routing, caching, context engineering, memory, observability, inference, and multi-agent systems.
Still early, and I would genuinely like this to become a community-maintained reference rather than a static collection.
Contributions, corrections, and missing perspectives are very welcome:
https://t.co/IBm7YLIWRA
5/5
The hardest bug was in my own policy.
The pipeline rejected a legitimate 56k-star project because one claim was unverified.
The fix:
Reject the claim, not the project.
Agents execute your rules. They will not tell you that your rule is the bug.
Full architecture, failures, and lessons from our work at @QuesmaOrg:
https://t.co/rNsz0tDpDh
1/5
I burned my entire Claude Max 5x limit in 30 minutes researching how to save tokens.
111 agents launched.
123 claims queued.
25 verified.
No final report.
At @QuesmaOrg, I rebuilt the pipeline. It now runs roughly 10x longer across subscriptions we already pay for.
https://t.co/rNsz0tDpDh
@QuesmaOrg 4/5
I also moved deep research to the end.
First run:
111 agents
30 minutes
No final report
Later run:
61 agents
22 minutes
Only claims that had already survived verification
Same tool, much smaller and better-defined job.