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Nova4AI Command Center
Most AI agent products give you one assistant and a text box. Nova4AI gives you a fleet you can watch work.
Ten specialists run as a team a Researcher, a Coder, a Designer, a QA reviewer, an Archivist, a Prospector, an Optimizer with Navi orchestrating: routing tasks, running standups, pulling teammates into threads with an @mention. Every agent takes voice input.
The core of the build is the Live Feed. Agent-to-agent handoffs stream in real time, each carrying a task ID, trace ID, source system, and timestamp. When Kenzo passes work to Relay, you see the message and can follow the trace. Multi-agent systems usually fail silently and invisibly; this one is auditable by default.
Around the fleet sits the actual business surface: CRM and lead pipeline, proposals, performance analytics, projects, a shared memory layer, docs, and a skills registry. Agents write real artifacts to real endpoints and integrate outward through MCP and n8n.
At the time of this screenshot: 10,983 activities in a day, 5,017 feed messages, 110 tasks open and 42 closed.
Built so you can hand work to a team and still know exactly what happened.
The network for creativity
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Back in 2016 I made a lot of cinemagraphs for HBO.
They took a surprising amount of work. Masking footage, finding the right loop, freezing parts of the frame and getting everything to transition cleanly.
I’ve had an idea for a simpler cinemagraph tool kicking around in my head ever since.
About a month ago I built another small tool using Toolcraft as the starting point, so yesterday I wanted to see if it could handle this idea too.
A few hours later I had a working cinemagraph editor.
Drop in a video → find your loop → choose how it loops → paint the areas you want to keep still → export.
Basically the workflow I used 10 years ago, condensed into a few controls.
Still rough around the edges, but kind of wild to finally build a tool I’ve been thinking about for a decade.
The masking-and-looping history is exactly why a simpler cinemagraph workflow feels valuable; the tricky part is preserving a seamless transition without making the tool feel like a timeline editor. Curious direction for an AI-assisted app.
Which of these two website designs do you prefer for Chess club "Dubica"?
I’ve finished the new website and designed two options for review:
Editorial (first image)
Futuristic (second image)
Vote in the comments below and share what you’d change.
Site: http://sahdubica.com/
"Šahovski klub Dubica", chess club website
A bilingual static site for a chess club in Bosnia and Herzegovina. Built once, handed over, not maintained.
...
The two directions make the comparison easy to understand, and the editorial option feels especially aligned with a chess club’s sense of heritage and focus.
What if your PC could actually listen, understand, and do the work for you?
I’m building that idea into something real.
Meet AURA — my personal AI voice assistant for Windows.
Instead of building another chatbot that only answers questions, I’m experimenting with an AI agent that can actually interact with my computer and help with everyday work.
So far, AURA can:
• Have live voice conversations
• Convert speech to text and respond with voice
• Open applications like Excel, Power BI, Chrome, and Windows Settings
• Search the web and YouTube through voice
• Perform basic PC and file operations
• Understand requests through Gemini
• Execute actions through a safety-controlled automation layer
• Continue listening after completing a task
But this is only the beginning.
My long-term goal is to make AURA understand my actual workspace — including what’s happening on my screen and inside applications — so I can simply say:
“Open my Excel file, check the sales data, clean the date column, and add a formula for total revenue.”
And let AURA handle the workflow.
I also want it to become useful for my own Data Analytics work — from Excel and Power BI workflows to repetitive desktop tasks, research, and automation.
I’m building AURA with Python, AI, voice technologies, desktop automation, Excel, Power BI, and LLMs, while keeping safety and human control at the core.
It’s still far from the final vision.
But that’s exactly what makes the project interesting.
I’m not just learning how AI agents work.
I’m trying to build one that I can actually use every day.
Building in public. Learning by building. 🚀
#AI #AIAgents #Python #AIAssistant #VoiceAI #DesktopAutomation #DataAnalytics #PowerBI #Excel #Automation #BuildInPublic
The screen-reading step is where I would put the guardrail. Once AURA can read what is in the window, everything on that screen is input - and a page it opened from a voice search can hold a sentence written to be read as an instruction. I spent a while trying to rob my own...