Network Tokenization Architecture for Card Payments (2026)
Network tokenization explained: how card network token vaults, TSPs and cryptograms replace the PAN - lifecycle management, auth-rate lift, PCI scope cuts and integration trade-offs.
Durable Execution Architecture: Temporal, Restate and DBOS (2026)
Durable execution explained: how event-sourced replay makes workflows crash-proof - deterministic code, event history, Temporal vs Restate vs DBOS trade-offs and failure modes.
ColPali and Visual Document Retrieval: Late-Interaction RAG (2026)
ColPali explained: how late-interaction vision-language retrieval indexes document page images directly - MaxSim scoring, storage trade-offs, and a production multimodal RAG architecture.
Claude Opus 5 Explained: Architecture, Benchmarks and Deployment (2026)
Claude Opus 5 explained: Anthropic's 2026 frontier model - 1M-token context, effort toggle, 96% SWE-bench Verified, pricing, deployment and honest limits.
AI Retrosynthesis: Computer-Aided Synthesis Planning Architecture (2026)
AI retrosynthesis explained: how template-based, transformer and MCTS search systems plan synthetic routes backward from a target molecule - reaction prediction, scoring, and honest limits in 2026.
Behavior Trees for Robot Task Planning: A Reference Architecture (2026)
Behavior trees for robots explained: ticks, control and leaf nodes, reactivity vs FSMs, blackboards and Nav2/BehaviorTree.CPP - the reference architecture for robot task planning and recovery in 2026.
Verification of Payee (VoP): Architecture for EU Instant Payments (2026)
Verification of Payee explained: the EPC VoP scheme under the EU Instant Payments Regulation - IBAN-name matching, the SRTP/API flow, traffic-light results, fuzzy matching and failure modes for APP fraud in 2026.
The WebAssembly Component Model & wasmCloud at the Edge (2026)
WebAssembly Component Model explained: WIT interfaces, WASI Preview 2, composition and wasmCloud's actor/lattice runtime for portable edge workloads - architecture, cold starts and trade-offs in 2026.
Matryoshka Embeddings: Adaptive-Dimension Retrieval Architecture (2026)
Matryoshka embeddings explained: how Matryoshka Representation Learning nests multiple dimensions in one vector for adaptive retrieval - coarse-to-fine search, storage cuts, MRL training and failure modes in 2026.
Kimi K3 Explained: Moonshot’s 2.8T Open-Weight Reasoning Model (2026)
Kimi K3 explained: Moonshot AI's 2.8T-parameter open-weight MoE - Kimi Delta Attention, 1M-token context, training, benchmarks, deployment cost and honest limits of the reasoning model in 2026.