thinking
Our thoughts on tech, product, AI and innovation
Pulse: building autonomous teams with less process and more impact
The business case for modernizing legacy systems in the AI era
Five engineering reasons AI agents fail in production
Build, buy, or build-with-you: the third path for AI agents
EU AI Act deadline moved to December 2027 — what actually changed
What an agent operation center actually contains: an engineering tour
AI agent token economics: what actually moves the bill
Capability transfer in AI delivery: what actually transfers, and how
AI agent observability: the OpenTelemetry + Langfuse pattern
Conversational commerce architecture: what replaces e-commerce search
Model Context Protocol (MCP) for enterprise: when it pays off
Modernising legacy systems for AI agent access
What a 70%-AI-generated codebase actually looks like
Design engineering in an AI-native pipeline
Prototype-in-a-day: the AI-native product discovery loop
How we run an AI-native agency
Estimating AI-augmented engineering
Capability transfer as the default engagement shape
Value pricing for AI-native delivery: what replaces time-and-materials
How generative AI connects enterprise data systems
How agentic AI changes the unit of work in enterprise teams
Cut process complexity before you add AI agents
What enterprise product teams can learn from agency delivery
Where AI agents actually pay off in logistics operations
The ROI of design: what the evidence shows and how to measure it
Claude Code, Cursor, and the AI-coding stack we reach for
Agentic AI workflow services: what's in scope, what's not
How long does it take to ship an AI agent to production?
Production AI agent governance: a SOC 2 / EU AI Act-aware reference
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