# AGENESIS

Source: https://dinand.com/experiments/agenesis/
Author: Dinand Tinholt

> An agent-based laboratory for exploring how different levels of AI participation interact with enterprise structure, market conditions and industry context.

The question behind the system

> An enterprise does not adopt AI in isolation; decisions propagate through competitors, suppliers, customers and the wider system.

What it is designed to do

- Model connected enterprises across multiple industry settings
- Sweep organization, market and agentification parameters
- Turn a large simulation campaign into an opportunity atlas

Campaign: 1,998 completed runs

Scope: 8 industry verticals

Per run: About 900 modeled agents

The public boundary

## What this page does—and does not—open.

The campaign captured run configurations and duration, but final per-enterprise financial metrics were not persisted. This profile therefore describes the experimental system and does not claim financial outcome findings.

Separate application

No public deployment is linked yet. The introduction remains available without exposing a private service or local data.

[Read a related simulation ](https://dinand.com/publications/trade-promotion-agents/)

Continue the thread

## A next room to enter.

[Choose another path ](https://dinand.com/)

[System profile · Working local application

### SCENARIO-X Studio

An interactive workbench for designing multi-product supply-chain experiments and inspecting where average performance hides a weak tail.

](https://dinand.com/experiments/scenario-x/)[System profile · Working research product

### Assay Bench

A workbench for measuring the quality and checking cost of AI outputs when there is no simple answer key.

](https://dinand.com/experiments/assay-bench/)[System profile · Paper-only research prototype

### Personal Quant Agent

A research system that scans public market data, tests a small strategy library, applies explicit risk controls and records simulated decisions in a paper portfolio.

](https://dinand.com/experiments/personal-quant-agent/)

[All experiments ](https://dinand.com/experiments/)[Back home ](https://dinand.com/)

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Site guide for AI agents: https://dinand.com/llms.txt