Architecting autonomous agents, multimodal intelligence, and frontier systems.
Deep dives on autonomous agents, multimodal video pipelines, local model inference, and AI infrastructure economics.
How modern autonomous agents move beyond simple prompt-response cycles into persistent memory, deterministic tool calling, and self-correcting execution waves.
Architecting high-scale multimodal pipelines: chunking media streams, GPU-accelerated Whisper diarization, frame embedding models, and hybrid semantic search.
October 10, 2026 · 8 min read
How the open Model Context Protocol standardizes LLM-to-tool integration, handles sandboxed process isolation, and enables modular agent capabilities.
October 9, 2026 · 6 min read
How frontier caching architectures like vLLM PagedAttention, Anthropic Prompt Caching, and Gemini Context Caching drop LLM latency by 80% and inference bills by 75%.
October 8, 2026 · 7 min read
Why string-parsing prompts fail at scale, and how constrained grammar decoding, typed schema validation, and rigorous eval harnesses guarantee 99.9% reliability.
October 8, 2026 · 6 min read
An empirical decision framework for choosing between Retrieval-Augmented Generation, Parameter Fine-Tuning (LoRA), and massive context windows for enterprise AI applications.
October 7, 2026 · 8 min read
An architectural analysis of unified memory bandwidth, 4-bit quantization benchmarks, and privacy-first local agent runtimes on modern workstations.
October 5, 2026 · 8 min read
Decomposing complex engineering challenges into coordinated specialist agents: coordinator patterns, message bus protocols, and conflict resolution.
October 2, 2026 · 7 min read
How high-throughput applications slash LLM bills by 85%: KV-cache reuse, semantic prompt caching, and context window compression.
September 28, 2026 · 5 min read