This is a massive shift in how we think about automation.
By bypassing traditional video editors and treating video rendering as a pure programming task, Spettro opens up an entirely new category for automated content systems, dynamic dApp visuals, and on-the-fly programmatic media.
We are moving past static code generation.
The next step is hooking this exact code-rendering logic directly into our native Grok image and video models to create a hybrid, fully autonomous multimedia powerhouse.
The architecture is holding up perfectly.
Still building.
solana:C3fawupKrXdn3X7KPTmmnkwzJQ9qycMNag55ZzQ8pump is already killing it on desktop
• Spettro (9 concurrent sessions):
220 MB RAM | 0.9% GPU
• Claude Code (9 concurrent sessions):
2.3+ GB RAM | 46%+ CPU
Coding on mobile will also never be the same
and still sub $1m 🤔
For everyone asking how the agent actually pulled this off, here is the exact workflow:
1. I fed Spettro the core objective and the base Undertale audio track.
2. It autonomously mapped the timeline, visual logic, and transitions.
3. It wrote, compiled, and rendered the entire visual sequence natively through code.
No heavy video editing software.
No clunky web UI.
Just pure, autonomous command-line execution.
The barrier to entry for complex, multi-modal automation is officially gone.
Because the entire ecosystem is open-source, you can pull the Spettro CLI from GitHub and replicate this exact workflow on your own machine today.
Drop into the repository.
The full live coding session and the result are linked below.
Still building.
$three at support ish here, gonna bid some. But short term price action is just noise.
What they building is huge. 3D layer for internet, cool usecase. And @IBM knows that.
Billions coming years. @trythreews
An AI harness is the key to unlocking the power of any given LLM.
LLM = Brain
Harness = Body
The harness is all the tooling around the LLM that enables it to do things like code, trade, research, or run on-chain autonomously.
That's what $Spettro is, a harness.
In this case, it has multi-modal support so users can switch out models depending on the tasks it's doing.
Because it only uses 15MB of RAM, users can spin up dozens of agents to work in parallel.
With this, builders are 100x more effective in output per dollar in terms of tokens.
Maximizing output.
Minimizing cost.
Deadly combo.
Super early but worth buying a few million PRICOIN to sit on for when it takes off. $PRI
This is what I did with $SPETTRO and $DAEMON and I will continue to hold these as they go higher and higher. 🔥
$SOL
$BTC
5vfR1t3iyX1SkiSJesM9uRdtvc49A3a9DENu738Epump