
Spencer Sterling
@cerspense • 6,210 subscribers
Building Sentinel, a real-time node graph built for agents. Out now. Founder, Out Of Distribution Labs
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I don't think i can go back to regular software anymore exploring a crazy combo of real-time depth estimation, raymarched SDFs, StreamDiffusion and BiRefNet. The entire setup was authored by GPT 5.6 Sol and Luna in Sentinel over MCP while I steered it in real-time.
Spencer Sterling41,573 views • 1 month ago

Never been able to explore latent space like this before.. 👀
Spencer Sterling79,776 views • 5 months ago

This is what directing an AI creative studio looks like. I gave my orchestration system a reference image and had it deploy three different interpretations across three machines running Blender simultaneously, all visible from a single dashboard. When one direction looks promising, I branch from it. The system copies the files to the other machines and keeps exploring from that new starting point. Branch, direct, branch again. Each split opens up a new creative path while I give notes in real-time. The number of creative directions I can explore simultaneously is only limited by how many computers I have.
Spencer Sterling85,392 views • 6 months ago

been building an agent-native, node-based, real-time environment. as a test, I gave gpt-5.6 sol a prompt to plan out its own setup and go into a loop of creative exploration until it felt that it was done. it invented every node, every data type, every connection and all of it comes out modular and human-readable. i could open any piece and steer while it built
Spencer Sterling22,217 views • 1 month ago

playing around with audio reactivity in sentinel running audio straight into the gpu buffer let opus 5 create this entire beat detection technique + interface as an interactive shader. sdxl streamdiff images are generated, depth mapped, cut out and spawned in real time
Spencer Sterling18,999 views • 1 month ago

A few weeks ago I gave Opus 4.6 a pack of stage assets in Unreal Engine, had it analyze all the example levels, then told it to build a stage. It assembled the whole thing, checked its own work from multiple camera angles, and when I gave it notes (trusses too short, stairs clipping through a crowd barrier) it fixed everything autonomously. It's gotten a lot better since then
Spencer Sterling24,932 views • 6 months ago
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