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Evergreen writing on AI tools, workflows, tutorials, reviews, comparisons, and technical explainers. If you want the fastest path in, start with the homepage's Start Here section.
A practical 2026 security checklist for handling AI agent browser traffic, verified bots, signed requests, rate limits, forms, login surfaces, and CDN/WAF rules.
A source-grounded Open-TechStack analysis of Mistral Medium 3 in Production: Latency vs Quality.
Open-source implementation guide for github repos for multimodal ocr and doc intelligence with repo shortlist, rollout plan, and production checks.
A source-grounded Open-TechStack analysis of Open-Weight Coding Models Compared: DeepSeek vs Qwen vs Llama.
A source-grounded Open-TechStack analysis of AI Support Desk Copilot: End-to-End Workflow Blueprint.
A source-grounded Open-TechStack analysis of OpenAI Responses API Roadmap: This Week’s Shipping Notes.
Open-source implementation guide for how teams use mcp servers for real internal tooling with repo shortlist, rollout plan, and production checks.
A source-grounded Open-TechStack analysis of Secure Prompt Injection Testing with Promptfoo: Team Playbook.
A source-grounded Open-TechStack analysis of FastAPI + vLLM Ecosystem News: Production Updates.
A source-grounded Open-TechStack analysis of Anthropic Claude 4 Rollout: Enterprise Impact Brief.
Practical comparison of Claude 3.7 and GPT-4.1: Model Face-off, including workflow fit, operations impact, and rollout guidance.
A source-grounded Open-TechStack analysis of Google Gemini Release Notes: Practical Impacts.
Open-source implementation guide for llm deployment guide — part 2 (cloud vs on-prem) with repo shortlist, rollout plan, and production checks.
Open-source implementation guide for top github ai repositories for local llm builders with repo shortlist, rollout plan, and production checks.
A source-grounded Open-TechStack analysis of Fine-Tuning Llama 3 with Unsloth.
A source-grounded Open-TechStack analysis of Meta Llama Ecosystem Update: New Tooling This Week.
Open-source implementation guide for real-world finance document qa with local llms with repo shortlist, rollout plan, and production checks.
Open-source implementation guide for best github repositories for rag pipelines in 2026 with repo shortlist, rollout plan, and production checks.
A source-grounded Open-TechStack analysis of Microsoft Copilot+ PC Review.
A practical evaluation guide for open-source RAG repositories, with shortlist criteria, rollout advice, and production readiness checks.
DeepSeek-V4 Preview brings open-weight Mixture-of-Experts models with a native one-million-token context window, led by V4-Pro and V4-Flash.
A source-grounded Open-TechStack analysis of Ollama vs LM Studio: Best Local LLM UI in 2026.
A source-grounded Open-TechStack analysis of OpenAI Operator Enterprise Update: What Changed Today.
Compare Ollama and LM Studio for local LLM development — features, performance, pricing, and which to choose in 2026. Hands-on testing with Llama 3.3 70B.
A practical 2026 guide to Vercel AI Gateway: API key or OIDC auth, OpenAI-compatible setup, provider routing, fallbacks, and when to use it instead of direct provider SDKs.
A practical map of the Nous Research stack: the company, Hermes Agent, the Hermes model family, and Nous Portal, plus why those pieces are not interchangeable.
A practical 2026 guide to using OpenClaw for content automation workflows: install and secure the gateway, add cron jobs, task flows, webhooks, and a maintainable editorial pipeline.
A practical 2026 guide to installing Hermes Agent for local automation workflows: one-line setup, model configuration, local dashboard, cron jobs, MCP wiring, and the operational mistakes to avoid first.
A practical 2026 comparison of Claude Code, Codex, and OpenCode for real software work: setup, approvals, model flexibility, background automation, and which agent fits your workflow.
A practical 2026 comparison of n8n, Flowise, and Dify: workflow model, self-hosting, agents, chat apps, triggers, observability, and which builder fits your actual AI workflow.
A practical 2026 comparison of LiteLLM, OpenRouter, and Vercel AI Gateway: self-hosting, routing and fallbacks, BYOK, caching, observability, and which gateway fits your actual workflow.
A practical 2026 decision guide for vLLM vs Ollama: local developer setup, OpenAI-compatible APIs, hardware support, batching, parallelism, and which runtime fits your actual workload.
A practical 2026 guide to running self-hosted AnythingLLM with OpenAI: Docker setup, LLM and embedder configuration, document ingestion, attached files vs RAG, multi-user access, and when to add agents or MCP.
A practical 2026 comparison of Hermes Agent and OpenClaw for self-hosted AI workflows: setup friction, messaging surfaces, automation depth, MCP and plugin shape, security model, and which stack fits your workflow.
A practical 2026 setup guide for wiring the OpenAI Agents SDK to MCP servers, choosing between hosted and self-managed transports, and adding approval gates that can pause, review, and resume runs safely.
A practical 2026 guide to setting up LibreChat with OpenAI and MCP servers: Docker install, API key patterns, MCP in chat vs agents, and the production mistakes most teams hit first.
A practical 2026 guide to running Open WebUI with both local Ollama models and hosted OpenAI models: install the stack, connect both providers, avoid common networking mistakes, and choose the right path for each workflow.
A practical LiteLLM setup guide for 2026: one OpenAI-style endpoint across OpenAI, Anthropic Claude, and Google Gemini, with routing, fallbacks, budgets, and the production caveats that matter.
A practical 2026 comparison of Open WebUI, LibreChat, and AnythingLLM for self-hosted AI chat: setup burden, document workflows, agents/MCP, auth, scaling, and which stack fits your team.
A practical 2026 comparison of LangGraph, OpenAI Agents SDK, and PydanticAI: persistence, handoffs, MCP support, testing, evals, and which framework fits each production workflow.
A practical 2026 comparison of Ollama and LM Studio for running local LLMs: setup, model downloads, OpenAI-compatible endpoints, and which fits your workflow.
A practical decision guide for 2026: when to keep embeddings in Postgres with pgvector, and when to move to Qdrant for filtered search, performance, and operational scale.
A practical 2026 decision guide for LLM observability: when to pick Langfuse, Arize Phoenix, or Helicone based on your architecture (OpenTelemetry vs gateway), team needs (prompt management, evals), and self-hosting constraints.
A step-by-step, production-minded migration guide from /v1/chat/completions to /v1/responses: request shape, multi-turn state, tools, structured outputs, streaming, and the gotchas that bite.
If your agent can call tools, you need traces. Here is a practical, low-drama way to instrument LLM apps with OpenTelemetry, ship OTLP to a collector, and keep the door open to Phoenix or vendor dashboards.
MCP’s new “elicitation” feature gives tool-using agents a standard way to pause, ask the user, and only then proceed—without inventing fragile confirmation prompts.
1M-token context windows are real, but they do not replace retrieval. Here is a practical framework for choosing long context, RAG, or a hybrid — with cost, latency, and reliability tradeoffs.
OpenAI’s Promptfoo acquisition is a signal: if LLMs can act, your prompts need tests. Here’s a practical workflow for evals, regression checks, and red-team basics.
MiroFish is an open-source multi-agent prediction engine that simulates social, financial, and public-opinion scenarios with thousands of agents. Here is what it actually does and why it is getting attention.
LiteParse is an open-source local document parser from Run-Llama for PDFs, Office files, images, OCR, and page screenshots. Here is where it fits in RAG and LlamaIndex workflows.
Yann LeCun's AMI Labs secures $1.03B to challenge the LLM status quo. Discover why 'world models' are the next frontier for robotics and physical AI.
GSD is a spec-driven development system that solves context rot in Claude Code and other AI agents. 192 HN points and counting — here's what makes it different.
Unsloth Studio launches as a free, open-source web UI for training and running 500+ LLMs locally — with no code, 2x faster training, and 70% less VRAM.
AI hallucinations aren't just glitches. They're baked into how language models work. Here's why they happen, why they're getting worse, and what we can actually do about them.
Mistral's Leanstral formally proves its code is correct against mathematical specs — no human review needed. The future of AI coding that doesn't hallucinate bugs.
Niantic used 30 billion crowdsourced Pokémon Go images to train delivery robot navigation. Players built a 3D world map thinking they were catching Pokémon.
A practical 2026 comparison of ChatGPT, Claude, and Gemini across writing, research, coding, cost, and real team workflows.
A practical Obsidian workflow that turns notes into decisions, drafts, and shipped outputs without clutter.
A practical OpenClaw review based on real workflow use—where it delivers leverage, where it still adds friction, and who should adopt it.
A practical framework for building a lean AI stack that cuts overlap, reduces supervision cost, and improves real output quality.