Building Products That Think With You

Practical AI integration for product teams. No hype, just working solutions that help you build faster and smarter.

AI-Assisted Development

Building with Claude Code and AI agents. Rapid prototyping, code generation, and automated workflows that accelerate development without sacrificing quality.

Product-First Approach

AI serves product goals, not the reverse. User research drives AI features. Every AI integration must solve a real problem and deliver measurable value.

Team Integration

Training teams on AI workflows. Building sustainable AI practices. Helping developers and product managers work effectively with AI tools.

Real-World Application

Building AI-Powered Resource Management at Silverbucket

Challenge: Resource management SaaS needed to evolve from manual workflows to intelligent automation. Teams spent hours on allocation planning that could be automated.

Approach: Prototyped and validated AI-powered workflows for automated resource allocation. Used user research to identify highest-impact automation opportunities. Validated the concept, now building the real product incrementally with continuous feedback.

Current status: Moving from validated prototype to production. Building features that let AI handle repetitive planning tasks while humans focus on strategic decisions.

Rapid Prototyping with Claude Code

Challenge: Testing product ideas required weeks of development time. High cost of validation prevented experimentation with multiple concepts.

Approach: Using Claude Code for rapid prototyping in Little Big Ideas micro-SaaS projects. AI generates functional prototypes in hours instead of weeks. Focus on lean validation before committing to full builds.

Outcome: Reduced prototype development time by 60%. Test product ideas with real users before significant investment. Validate or invalidate concepts quickly.

Building AI Workflows for Cross-Functional Teams

Challenge: Product teams across Nordics and India needed consistent AI practices. Different skill levels and comfort with AI tools created friction.

Approach: Started with one AI champion per team. Documented practical workflows for common tasks. Shared wins and learned from failures openly. Built confidence through small successes.

Outcome: Teams independently using AI for documentation, testing, and prototyping. AI is a tool in the toolkit, not a mysterious black box.

Practical Resources

Getting Started with AI in Your Product Team:

1. Start with automation of repetitive tasks - low risk, high visibility
2. Use AI for prototyping, not production (initially) - learn the limits
3. Train one champion per team first - they’ll spread knowledge organically
4. Document what works and what doesn’t - build institutional knowledge
5. Measure impact in time saved and quality improved - justify investment

AI Integration Anti-Patterns to Avoid:

• Adding AI because competitors are - no clear user benefit
• Over-automating critical decisions - humans still needed for judgment
• Skipping user research - AI solves problems nobody has
• No fallback when AI fails - brittle systems break badly
• Treating AI as magic - understand capabilities and limits

Related Writing

January 16, 2026

The End of the Handoff: How AI is Blurring the Lines Between Product, Design, and Engineering

When experimentation becomes cheaper than coordination, the traditional handoffs between product, design, and engineering start to disappear. The disciplines aren't dying. They're converging.

Product ManagementAITeam CollaborationUX Design

December 2, 2025

Welcome to My Blog

Why I'm writing this blog and what you can expect - practice-based lessons from product development, AI work, and building teams that actually communicate well.

PersonalLeadershipAI

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Featured Projects

AI & Product Development

Silverbucket at EG

Leading product development for Silverbucket, a resource management solution evolving into an AI-powered platform with automated workflows. Building tools that help organizations optimize team allocation and streamline operations.

Key Highlights

•AI and automation innovations in resource management
•Cross-functional team leadership across Nordics and India
•Building scalable SaaS platform features
•User research and iterative product development

Visit Website →

Micro-SaaS Ecosystem

Little Big Ideas

Building a portfolio of small, focused SaaS products using lean validation and AI-assisted development. Applying Shape Up methodology to personal projects.

Key Highlights

•Rapid prototyping with Claude Code
•Lean validation and customer discovery
•Building in public
•Experimenting with AI workflows

Visit Website →

Let's Continue This Conversation on LinkedIn

I share weekly insights on AI product development, real-world experiments with Claude Code, and lessons from building with AI agents. Join product leaders and developers who want to integrate AI thoughtfully into their workflows.

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