AI Implementation
AI Agent Architectures: Patterns and Trade-offs
A practical map of AI agent architecture patterns — workflows, autonomous agents, multi-agent frameworks, memory, and error handling — and the trade-offs behind each…
Blog
AI Implementation
AI Agent Observability: Tracing and standards
AI agent observability explained: OpenTelemetry GenAI tracing, MCP instrumentation, platform choices, and the eval gates that catch quality regressions before they ship.
Blockchain
Tokenization of Real-World Assets: A Technical and Business Guide
Real-world asset tokenization explained for product and engineering leaders: how it works, token standards, compliance architecture, and how to ship it to production.
AI Implementation
From legacy systems to production AI
How Cheesecake Labs is evolving into an AI services and engineering company for the full path to production.
AI Implementation
Why an AI Governance Framework Makes Regulated Firms Faster, Not Slower
An AI governance framework is what lets regulated firms adopt AI quickly and defensibly. What a minimum viable version includes, how to tier use…
Data & Analytics
Agentic Analytics in Production: What Snowflake CoWork Replaces, and What It Doesn’t
How agentic analytics is quietly replacing the dashboard request queue, and what we've learned shipping it in production.
Data & Analytics
How Does a Semantic Layer Unlock Your Data for Agentic AI
Teams connect an AI to their warehouse expecting instant answers and get confident SQL that counts the wrong things. The model is rarely the…
Product Engineering
Smart Contracts: What They Are and How to Build Them for Your Business
Imagine a business agreement that executes itself: no intermediaries, no paperwork delays, no risk of someone not holding up their end of the deal.…
AI Implementation
What 13 Years of Building in Regulated Industries Taught Us About AI That Most Firms Get Wrong
The AI failure mode we see most often has nothing to do with the model. It has everything to do with what sits underneath…