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Mechanism Design

Mechanism
Design

Tokenomics, governance architectures, cryptoeconomic systems, AI coordination layers. We design the incentive structures and rules that make decentralized systems actually work.

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Remote · Embedded with your team · From $8,000 · Confidential
The Problem

The mechanism is the product.

Tokenomics, governance, coordination logic, economic primitives — these aren't features you bolt on at the end. They're the foundation your system runs on. Get the mechanism right and the system self-corrects. Get it wrong and no amount of engineering saves it.

Mechanism design sits at the intersection of economics, game theory, protocol engineering, and domain expertise. Most teams have some of these — almost none have all of them.

What We Do

We design the rules
your system runs on.

Every engagement is different. Here's the range of what we work on.

Tokenomics

Token economy design

Supply dynamics, distribution, vesting, utility mapping, value capture. From first principles or redesign of existing systems.

Governance

Governance architecture

Voting mechanisms, delegation models, council structures, proposal flows. Onchain and offchain governance that scales.

Cryptoeconomics

Incentive system design

Staking, slashing, bonding curves, reward functions. The economic primitives that align participants toward shared goals.

AI coordination

Multi-agent mechanisms

Auction designs, resource allocation, agent negotiation protocols. The coordination layer between autonomous AI systems.

Financial instruments

Blockchain-native derivatives

Custom financial instruments built on blockchain infrastructure. Structured products, derivative mechanisms, settlement logic.

Stress testing

Mechanism validation

Adversarial analysis, edge case mapping, failure mode identification. We break your mechanism before someone else does.

How We Work

Embedded with your team,
not a deck from the outside.

We work remotely, integrated with your team through the full design cycle. Weekly syncs, shared documents, iterative design. The output isn't a report that sits on a shelf — it's a mechanism spec your engineers can implement.

Typical process

01

Scoping & stakeholder mapping

Understand the system, the participants, and the outcomes you're optimizing for. Define constraints and success criteria.

02

Mechanism selection & design

Comparative analysis of candidate mechanisms. We design the right one for your constraints — not the fashionable one.

03

Stress testing & iteration

Adversarial analysis, edge cases, failure modes. We iterate on the design until it holds under pressure.

04

Specification & handoff

Full mechanism spec with parameters, interaction effects, and engineer acceptance criteria. Ready for implementation.

Deliverables

Stakeholder map and incentive analysis

Mechanism design document with rationale

Parameter recommendations and sensitivity analysis

Failure mode catalog and risk mitigation plan

Implementation specification for engineers

Who it's for

Web3 protocol teams designing token economies

AI teams building multi-agent coordination systems

Foundations and institutions deploying onchain governance

Tech teams building blockchain-native financial instruments

Format

Primarily remote, embedded with your team. Engagements typically run 4–12 weeks depending on scope. Can also be delivered as an intensive workshop format.

Past Work

Two examples.

Inhabit

Tokenomics

Designed the token economy for Inhabit's land stewardship platform — from value capture model to distribution mechanics. The tokenomics needed to align landowners, stewards, and investors around long-term ecological outcomes in Colombia.

Giga / UNICEF

Financial instrument

Designed a blockchain-based derivative instrument for UNICEF's Giga initiative in a two-day intensive workshop. The mechanism needed to accelerate school connectivity across 60+ countries by creating the right financial incentives for infrastructure providers.

Pricing

Scoped to your system.

Every mechanism is different. We scope and price after understanding your system.

Selection

$8,000

Mechanism selection and recommendation for your system.

· Stakeholder mapping

· Comparative mechanism analysis

· Recommendation with rationale

· 2–3 week engagement

Selection + Stress Test

$15,000

Full design with adversarial testing and failure analysis.

· Everything in Selection

· Failure mode catalog

· Adversarial scenario testing

· Risk mitigation plan

· 4–6 week engagement

Full Design + Spec

$25,000

Complete mechanism with implementation-ready specification.

· Everything in Stress Test

· Parameter recommendations

· Interaction effects analysis

· Engineer acceptance criteria

· 8–12 week engagement

Credentials

This is what we've been doing
for years.

Built on

AI Mechanism Atlas

34 mechanisms and 26 failure modes catalogued empirically. One of the primary sources behind our consulting practice.

Founders

Patrick Rawson

Patrick Rawson

From smart contracts to agent orchestration. Ex-CEO of Curve Labs (Berlin), a Web3 venture studio; previously award-winning digital marketer (New York). International Economics, George Washington University.

Louise Borreani

Louise Borreani

Researcher and consultant at the intersection of AI, blockchain, and sustainability. MA Environmental Policy, Sciences Po Paris.

Next Step

Tell us about
your system.

30-minute call to understand your mechanism design needs. We'll tell you honestly whether we're the right fit — and if so, what the engagement looks like.

Get in Touch Email Us
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