My core stack is less "generate pretty pictures" and more "build the pipeline that does the thinking":

n8n — the glue. Great for orchestrating multi-step agent workflows and connecting APIs without writing a service from scratch. Weakness: gets messy fast on complex branching logic, and debugging a broken node chain eats time.

RAG (usually with a vector DB + LangChain-style retrieval) — lets me ground LLM output in actual client data instead of hallucinated generalities. Strength: dramatically improves accuracy for domain-specific asks. Weakness: chunking/retrieval quality is finicky, and a bad embedding setup silently tanks results without throwing an error.

Claude/GPT for reasoning + code — my default for anything needing judgment: analysis writeups, SQL/Python generation, proposal drafting. Strength: fast iteration. Weakness: still needs a human check on numbers — confident-sounding ≠ correct.

Power BI / Tableau — where the AI output actually becomes something a client trusts. AI can shortcut the analysis, but the dashboard is what gets signed off on.

The honest lesson: the "AI" part is maybe 30% of the workflow. The rest is validation, data plumbing, and making the output legible to a non-technical stakeholder.

Silent failures are what I watch closest. I treat an answer as untrusted unless I can show exactly which source text the model read, because fluent output can hide a bad match.

My topic:Livestream & VTuber Hi, I saw online that IRL LiveStreaming is one of the hottest niches for some time now, but it is also the most dangerous one. I saw multiple videos of streamers being intimidated, provoked and even harassed. This is not about streaming, its about humans feeling safe. Today, in 8 full focused hours I put the pillars of the project PulseOS. It gives updates to the creator about: -Idle: basic state -Notifications : ex: one new paid subscriber -Ai-Summaries: ex: summary of the last 5 minutes of the live-chat energy -Critical-Alert: ex: someone is following a creator, the chat is typing more than the usual flow of messages->activates triggering automation->creator sees what the chat is talking about I projected this idea with 7 pillars, so here are the next 3, which I sacrificed for this demo, to be able to do the 4 pillars as intended. The other 3 pillars: -Stream health: ex: camera battery %, temperature of CPU -Focus mode: ex: when streamer is serious, notifications are subtle almost non-existent for that time -Achievement: ex: 1000 followers in the past month, 12 hours live in the past 3 days I got around the paywall and prototyped a flux on notification with Make.com on HTML with POST Requests with the help of Ably. Rive App Link:https://editor.rive.app/file/pulseos/2491853?linkId=2t4qGJlgK0GkdLA8qFPpDw X link:https://x.com/ydgsgiwhs/status/2085972264185409606?s=20

future note, you can "share" a file on the rive freeplan by making a copy and putting it into the 'Shared Project', then in the file using the invite button in the top right to get a link. I say a copy because once you put a file in a shared project you can't move it back to a...