How one prompt and 22 AI agents redesigned a 15-year-old website
A single prompt set everything in motion. The BACON-AI framework handled the rest.
Modernise the existing old website algorithmix.com. (1) Scaffold the project using the BACON framework. (2) Spawn 5-10 agents to scrape the existing site using Chrome browser tooling. (3) Spawn 4-6 research agents to validate the content and benchmark the best-designed websites for this type of product. (4) Spawn analysis agents to understand the context. (5) Spawn marketing, social-media, and web-developer agents to design and build the new site. Then consolidate everything into a plan for a modern site.
From this single paragraph, BACON-AI's orchestrator spawned 22 specialised agents across 9 phases. Each agent had a defined role, quality gates to pass, and a specific deliverable. The framework's governance layer ensured every decision was traceable, every output was validated, and the entire process completed in hours rather than the weeks a traditional agency would require.
Two decades of web evolution, compressed into one transformation.
Dive deeper into every aspect of this AI-driven modernisation.
The 9-phase BACON-AI methodology from prompt to production.
Meet the 22 AI agents and their specialised roles.
Technical decisions, stack, and system design.
NPSL rules, quality gates, and audit trails.
Interactive demos and component experiments.
The complete modernisation report as a downloadable PDF.