From Workshop to Platform: The BuildGreenfield Journey Begins

How the AI Budapest workshop breakthrough led to the creation of BuildGreenfield - a platform that makes AI development transparent and familiar.

The Day After the Workshop

Yesterday I shared the story of how BuildGreenfield was born at the AI Budapest workshop. Today, I want to talk about what happened next - how that workshop breakthrough became the foundation for a platform that’s already changing how people think about AI development.

The Core Insight

The workshop wasn’t just about building another AI tool. It was about solving a fundamental problem: AI development feels like a black box.

Most AI development tools treat the process as magic - you input a prompt, and code appears. But that’s not how real development teams work. Real teams use:

• Kanban boards to track progress
• Activity feeds to see who’s working on what
• Project views with burndown charts
• Familiar tools they already know and trust

Why This Matters

When I presented the workshop results, people didn’t just like the concept - they loved the transparency. For the first time, they could see:

• Which AI agent was working on what
• How tasks moved through BACKLOG → TODO → IN PROGRESS → DONE
• The actual progress of their project
• Every decision the AI made

This wasn’t just about building faster - it was about building with confidence.

The Platform That Emerged

BuildGreenfield isn’t just a code generator. It’s a development environment that happens to use AI agents instead of human developers.

Visual Kanban Workflow

Instead of mysterious AI processing, you see your project evolve on a familiar kanban board. Tasks move from backlog to completion, just like any development team.

Agent Activity View

See exactly which AI agent is working on what:

• PM Agent: Planning and requirements
• Backend Agent: API development
• Frontend Agent: UI components
• Database Agent: Schema and queries

Project Management Tools

Burndown charts, progress tracking, and project views - all the tools development teams already use, but powered by AI.

The Meta-Story

What’s fascinating is that BuildGreenfield itself demonstrates its own principles:

• Rapid iteration: The platform evolves constantly
• Transparent development: You can see every change
• Familiar workflows: Using standard development practices
• Multi-agent collaboration: Different AI agents working together

What Makes It Different

Not Just Code Generation

Most AI tools generate code and disappear. BuildGreenfield creates a development environment where you can:

• Chat with AI agents
• Review their work
• Request changes
• See the impact of every decision

Familiar, Not Foreign

Instead of learning new AI-specific workflows, you use tools you already know:

• Kanban boards
• Activity feeds
• Project dashboards
• Chat interfaces

Transparent, Not Mysterious

Every AI decision is visible and explainable. No black boxes, no mysterious processes.

The Response

Since the workshop, the response has been incredible. People aren’t just excited about faster development - they’re excited about understandable development.

Enterprise teams love the transparency. Solo entrepreneurs love the speed. Developers love the familiar tools.

What’s Next

The workshop was just the beginning. Every day, BuildGreenfield evolves based on real user feedback and real development needs.

The platform is becoming a proof of its own concept - demonstrating that AI development can be:

• Fast (MVPs in days)
• Transparent (see every decision)
• Familiar (use tools you know)
• Reliable (consistent results)

Join the Journey

The workshop showed us what’s possible. Now we’re building it for everyone.

Ready to experience AI development that makes sense? Request alpha access and see how the future of development is already here.

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This is just the beginning. The workshop proved the concept. Now we’re building the platform that makes it real.

Next: A deep dive into how the multi-agent system actually works.