Search: AI tooling & workflows

I used my local LLM to rebuild my workflow from scratch, and it was better than I expected

… To keep the experience familiar, I added a WebUI so interacting with models felt similar to any cloud AI chat interface. I also experimented with AgenticSeek to explore more structured workflows like multi-step reasoning and task-based prompts. …

Apr 12, 2026 · Yash Patel

These 4 tools paired with Ollama gave me a private AI workflow that actually matters

… The result is a system where AI quietly supports my daily work, without extra friction, distractions, or dependency on external services. Logseq A private AI layer that improves how I think Logseq is the heart of my workflow . …

Apr 11, 2026 · Yash Patel

Tines built the better AI workflow builder, but n8n is the one self-hosters will actually use

… What this means is that a free user, who is already limited in the number of workflows they can create, is also limited in the AI workflows they can produce. While I tested this with a local model by using an OpenAI-compatible endpoint and Qwen3 Coder Next, free users can't do that. …

May 9, 2026 · Adam Conway

I built my AI workflow around NotebookLM, Claude, and local models—here's what each does best

… Claude is where things take shape Where refinement happens I often use Claude on its own without my local AI or NotebookLM, so it’s not always part of the AI chain. …

Mar 22, 2026 · Nolen Jonker

I connected Read AI's MCP server to Claude, and it changed my entire meeting workflow

… With Read AI's MCP server connected to Claude, I can just ask Claude things like "what did we decide about the timeline in yesterday's meeting?" or "what did Justin tell me about Read AI's MCP server?" It pulls the answer straight from my meeting data instantly, and I don't need to do so much as op… …

Apr 16, 2026 · Mahnoor Faisal

I built a local AI stack with 5 Docker containers, and now I'll never pay for ChatGPT again

… Ollama The core layer If my self-hosted AI stack were a body, Ollama would be the brain. It’s the core engine that runs large language models directly on my machine, without relying on any cloud service. That shift completely changed how I use AI. …

Apr 16, 2026 · Yash Patel

Followed topics

Search

I used my local LLM to rebuild my workflow from scratch, and it was better than I expected

These 4 tools paired with Ollama gave me a private AI workflow that actually matters

Tines built the better AI workflow builder, but n8n is the one self-hosters will actually use

I built my AI workflow around NotebookLM, Claude, and local models—here's what each does best

I connected Read AI's MCP server to Claude, and it changed my entire meeting workflow

I built a local AI stack with 5 Docker containers, and now I'll never pay for ChatGPT again

I moved my entire research workflow to Google AI Pro, and I'd do three things differently if I started over

n8n, Dify, and Ollama might be the best self-hosted AI automation stack right now

I paired NotebookLM with Claude's browser extension, and it changed how I use both tools

I replaced my entire AI prompt library with Fabric, and now I can't imagine going back