NVIDIA Metropolis Blueprint for video search and summarization (VSS) 3 is here.
Now your coding agent can analyze massive live streams and libraries of videos with a simple natural language prompt. Here's what's new:
- 16 new agent skills: Search, summarize, alert, report, review clips. All from natural language prompts.
- One unified open source repo: Source code, Docker and Helm deployment profiles for fast, easy deployment.
- Multi-video reports and Nemotron 3 Nano Omni: Insights across video and audio at scale.
- 3D multi-camera tracking: Production ready + #1 SOTA for smarter scene understanding.
Try VSS skills 👉 https://t.co/XvKJ0Kb8VV
checked reported candidate issues and repaired historical label/tracker mismatches where needed
The biggest lesson from the day: automation is not just about connecting tools.
I worked on a recruitment workflow system where a lot of small details matter: email labels, spreadsheet columns, file routing, candidate numbers, duplicate checks, and handoffs between different hiring stages.
A few things I worked through:
built and tested a rejection-letter workflow that only sends when a clear tracker field is marked Yes
patched downstream workflows so a newly inserted tracker column would not shift data into the wrong fields
A useful AI workflow usually starts as an ops checklist, not an agent.\n\nFor service businesses, the first wins are boring: email intake, missing-info checks, folder creation, tracker updates and follow-ups.
I’m looking to help 1-2 service businesses clean up a messy admin workflow. Best fit: recruiting, staffing, tutoring, education, or teams living in Gmail + Drive + Sheets.\n\nI can map the process and show what should be automated first before building anything.
Most AI automation value is not a chatbot. It is the boring workflow: emails in, duplicates checked, files named, trackers updated, follow-ups triggered. I just built this for an education recruiting process with Gmail, Drive, Sheets and n8n.
Detecting real application emails
Finding the actual resume from messy attachments
Checking for duplicate candidates
Routing resumes into the screening flow
Running AI-assisted screening
Updating the tracker automatically
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https://t.co/vHw0GKoBOC
@JustNazeefah Good goal. Real business workflows are usually less glamorous than the demos: approvals, logs, duplicate records, missed fields, and follow-ups. If you learn to handle those, you’ll be ahead of most automation builders.
@Floneotech Exactly. The demo is the easy part. The real test is permissions, messy records, handoffs, retries, and what happens when someone uses it slightly differently than expected.
@jedhub83@DavidBCollum The key is keeping it simple enough that it works from the van, not just at a desk. I help small operators set up these practical admin workflows with n8n/Zapier/scripts while building my portfolio, happy to share a lightweight setup if useful.
This is also a good automation use case: monthly reminder, checklist status, and docs pulled into one folder before anyone needs them. I help small businesses in Sydney set up practical admin workflows like this, happy to outline a free version here while I build my portfolio.