THE DIGITAL SELWYN JOURNAL
Practical guides to AI, architecture, and reliable engineering.
A practical guide to how chatbots remember earlier conversations, with clear examples of sessions, context windows, summaries, saved state, and long-term memory.
How MCP standardizes external integrations for AI agents, what changes compared with direct GitHub API calls, and where security still needs engineering.
A concept-first guide to evaluating AI agents locally with Google ADK and at scale with Gemini Enterprise Agent Platform.
One guide to all five modules: solution design, production engineering, responsible AI, stakeholder communication, and team enablement—with diagrams, practical examples, and a revision checklist.
A deep dive into emerging Context Protocols shaping the future of AI agent ecosystems including MCP, A2A, ACP, UCP, ANP and AG-UI.
A deep dive into model tuning techniques including K-Fold Cross Validation, Sampling Strategies, Hyperparameter Tuning, and GridSearch vs RandomizedSearch.
