writing

thoughts on applied AI, infrastructure, and building real systems

• resourcing genai initiatives
  don’t resource genAI projects. resource learning.
• prioritizing genai initiatives
  portfolio theory for genai
• sourcing genai initiatives
  practical advice to fill the top of your genai funnel
• most genAI initiatives never make it from pilot to production
  and why that's expected and okay
• does your team use llms securely?
  why chatgpt enterprise alone isn't sufficient
• how is an llm like a financial advisor?
  mcp servers are three party systems
• 1-line jwt/jwks verification for mcp backends
  npm i identifiabl — deploying gatewaystack's first layer into production
• the three-party identity problem in mcp servers
  thoughts around an agentic control plane for ai model access
• apps sdk vs mcp vs normal apis
  my mental model for understanding the emerging AI app ecosystem
• building an AI backend for early-stage products
  how i think about moving from idea to architecture to production for modern early-stage AI systems.
• validating AI workflows with no-code mvps
  a simple approach to proving a problem exists before investing in engineering.