Agency Protocol Through a Biological Lens

May 7, 20257 min read

What if we designed human systems using principles from the most successful networks on Earth? Nature's living systems offer profound lessons for reimagining decision-making and coordination.

Have you ever walked out of a meeting wondering how a group of smart, thoughtful people just made such a baffling decision?

You're not alone. Across industries and domains, groups routinely make worse decisions than their most informed member could have made alone. This isn't just a human quirk—it's a systemic flaw. And the usual fixes don't go deep enough.

So, why do smart groups get it so wrong—and what can we do instead? Perhaps the answer lies in understanding how biology solves similar coordination problems.

Why Group Decisions Go Sideways

These aren't failures of character—they're failures of design. Most decision systems were never built to handle complexity, uncertainty, or nuance.

Why the Standard Fixes Fall Short

We've tried a lot to make group decisions better:

  • Clearer processes (decision matrices, RACI charts)
  • Stronger facilitation to balance voices
  • Defined roles to clarify who decides
  • Post-mortems to identify what went wrong

These help—but only to a point. They're like adjusting a broken compass: the direction feels clearer, but you're still off course.

The Evolutionary Basis of Agency Protocol

The foundational logic behind Agency Protocol draws deeply from evolutionary biology. Just as natural selection shapes biological systems through specific mechanisms, similar principles can be applied to create robust decision-making networks.

The Mycelial Network Model: Nature's Intelligence at Work

To see these principles in action, we can turn to one of nature's most successful information processing systems: mycelial networks.

Beneath the forest floor, fungi create vast networks of interconnected threads called mycelium. These networks:

  • Connect multiple plants and trees, allowing them to share resources
  • Transmit precise signals about threats and opportunities
  • Distribute nutrients based on need and contribution
  • Create resilient systems that can withstand localized damage
  • Enable trees to support their offspring and neighboring plants

These living networks demonstrate a form of distributed intelligence where no central authority dictates action, yet the system works remarkably well at optimizing resources and responding to challenges.

Network Visualization

From chaos to coherence: On the left, influence flows through status and noise. On the right, trust travels like nutrients in a living network—guided by promise, proof, and precision.

A Different Path: Verifiable Merit with Agency Protocol

Agency Protocol reimagines decision-making using principles inspired by these biological networks. It doesn't just patch the old system—it builds a new one, where the only authority that matters is verifiable merit.

It works through three foundational principles:

  • Domain-Specific Merit: Like specialized plant roots that excel at extracting specific nutrients, expertise isn't generalized. You build a record of kept promises in specific domains, and your influence grows where you've demonstrated value.
  • Explicit Promises: Like the chemical signals that travel with precision through fungal networks, no more vague commitments. Every promise is clearly defined, time-bound, and verifiable. It's easy to see who said what—and whether it happened.
  • Economic Stakes: Just as trees invest carbon in maintaining mycorrhizal networks, skin in the game matters. People stake real value on their promises and assessments. Being right earns rewards; being wrong has costs.

The Outcome: Better Decisions at Scale

In natural systems, fitness is determined by the environment. In the Agency Protocol environment, agent fitness is determined by two key factors:

  1. Quality of the Agent: How well an agent fulfills its promises and contributes to the network.
  2. Ability to Signal Quality: The agent's effectiveness in communicating its value, including how well others can interpret these signals.

When decisions are based on verifiable, domain-specific merit, everything improves—similar to how healthy biological networks function:

  • Information flows where it's needed—because it's rewarded, like nutrients in a mycelial network.
  • Ownership becomes clear—because contributions are tracked, similar to how plants and fungi form mutually beneficial relationships.
  • Incentives align—because truthfulness and competence are profitable, creating symbiotic relationships.
  • Politics fade—because influence can't be faked when it's tied to verifiable outcomes.
  • Delegation improves—because decision rights follow proven capacity, like specialized functions in an ecosystem.

Final Thought: Design Better, Decide Better

Group decision failures aren't inevitable. They're emergent properties of flawed systems that ignore what biology has spent billions of years perfecting.

Agency Protocol doesn't just diagnose the problem—it provides a new foundation. One where merit is earned, verified, and visible. Where decisions reflect actual expertise, not social dynamics. Where the path of least resistance leads to good outcomes.

By learning from nature's most successful coordination systems, we can create organizations and communities that make better decisions—where the whole truly becomes greater than the sum of its parts.