Insights
Automation
Where Zapier is enough, where custom jobs win, how to write SOPs a system can follow, and how to keep a human in the loop.
6 articles. Newest first. All insights
Automation
Edge AI Inference in Modern Web Apps: WebAssembly, WebGPU, and Local Embeddings
How to run quantized embedding models directly in the browser using WebGPU and WebAssembly SIMD, eliminating cloud API inference costs and delivering zero-latency semantic vector search.
Automation
Agentic AI Architectures: Building Deterministic Enterprise Systems Beyond Simple LLM Wrappers
How engineering teams design resilient multi-agent systems using state machines, Model Context Protocol (MCP), schema-enforced tool calling, and human-in-the-loop review to eliminate hallucination in production.
Automation
When to Use Zapier vs Custom Automation
A practical split: when a workflow tool is enough, when you need a queued job you own, and how zaps become the integration layer you cannot debug.
Automation
How to Write SOPs That Can Be Automated
Turn tribal knowledge into a procedure with named systems, ids, exceptions, and pause points — so automation is encoding, not guessing.
Automation
Human-in-the-Loop Automation: Review Queues That Work
Where a person must approve, edit, or reject machine output — without recreating the inbox you tried to kill.
Automation
How Business Automation Reduces Manual Work
Where automation actually removes copy-paste, status chasing, and re-keying — and where rules, APIs, and human review still belong.