Token Engineering Toolkit: Practical Insight
summary
Claims practical workflow for tokenomics: ideation workshops, benchmarking, mathematical spec, then iteration with Monte Carlo, parameter sweeps and agent simulations until a robust parameter set emerges. Uses cadCAD and RedCAD plus Excel and Python for fast validation and modeling, runs agent‑based modeling and AB tests, and audits on‑chain data for chains ~300–400M market cap. Audits check price movement, volatility, volume, vesting schedules, validator economics, fee elasticity and treasury flows to spot exploitable designs.
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chapters (9)
- 0:00Token engineering intro
- 2:28Why token engineering matters
- 6:47Web3 vs traditional firms
- 8:58Token engineering workflow
- 12:55Tokenomics auditing challenges
- 16:50Tooling and modeling
- 19:59Parameter selection under uncertainty
- 23:14Tokenomics audit metrics
- 24:20Conclusion
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