All Articles in Series
Self-Hosted AI vs API Providers: Decision Framework
Compare costs, compliance, and hybrid serverless GPU options to pick the right AI infrastructure for your business
Self-hosted AI vs API providers: a practical framework to weigh cost, compliance, and ops risk so you can pick the right infrastructure and avoid costly…
AI App Planning: Proven Workflow to Keep Plans Coherent
Reproducible process using chat AI for ideation, local AI for surgical edits, and git to prevent context drift.
Learn an actionable AI app planning workflow that keeps plans coherent using chat ideation, local AI surgical edits, and git version control for auditability.
Deterministic Upstash Vector Sync: Atomic CMS Indexing
Step-by-step guide to build a deterministic vector database sync with Upstash Vector, OpenAI embeddings, chunking, and…
Learn a deterministic Upstash Vector sync pipeline to keep your CMS and vector database perfectly in sync — atomic updates, chunking, OpenAI embeddings, and…
Build a Claude SEO Agent with Google Search Console MCP Integration
Connect Claude to Google Search Console API via MCP for live SEO diagnostics, URL inspection, and AI-powered ranking analysis without leaving your IDE.
Implement a Google Search Console integration with Claude using MCP: run URL inspections, pull analytics, and build an AI assistant that diagnoses ranking…
Ultimate Guide: Run GLM-OCR Locally on MacBook Fast
Step-by-step Ollama setup for GLM-OCR on macOS — pull the model, set num_ctx=16384, and run a local OpenAI‑compatible…
Run GLM-OCR locally on your MacBook with Ollama—install, pull the 0.9B model, set num_ctx=16384 to avoid crashes, and run a local OpenAI‑compatible OCR API in…
Run GLM-OCR on RunPod Serverless: 17-line Dockerfile
Custom Dockerfile with Transformers v5 and pre-baked GLM-OCR weights for fast RunPod serverless cold starts
Learn how to run GLM-OCR on RunPod Serverless with a custom Dockerfile that pre-installs Transformers v5 and bakes model weights to eliminate cold starts.
LLM Inference Engine Showdown: vLLM vs Ollama vs TGI
Benchmark-backed guide comparing vLLM, Ollama, and TGI — throughput, concurrency, scaling, and observability to choose…
Decide the best LLM inference engine for your deployment with benchmarked throughput, latency, and scaling guidance—clear recommendations for vLLM, Ollama…
Zod v4 & Gemini: Fix Structured Output with z.toJSONSchema
Stop using zod-to-json-schema—use Zod v4's native z.toJSONSchema to enforce Gemini structured output reliably.
Fix Gemini structured output by switching to Zod v4's z.toJSONSchema. Replace zod-to-json-schema and produce valid JSON schemas so AI returns correct fields.