Back Office · office.temerarii.xyz
One asset, all the way in — composition, the wireframe + storyboard, the output format stack, and the template, all read from the SAME content-index record. The expected output matches what /media surfaces for this post.
post longform-W23-Wedkind longformweek W23date 2026-06-10campaign longform-youtubepillar multimediabeat asset videoduration 370.8sground whitescenes 7

Checklist the per-video bar — engine/sim

100.0/100
plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness
quantitative quality · weights learn from your reviews (engine.sim.memory review longform-W23-Wed good|bad)
✓ all static checks pass — one-focal/scene · tier-by-beat · one-track caption · colorway · cast+shape correct · no banned/fabricated. (audio + visual tiers verify on the rendered finals — Phase 2)

Composition comp · template family · expected output

composition LongFormChaptersfamily / template LongFormChapters
9:16 Reelpending1:1 Squarepending16:9 Widerendered9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
▶ open rendered mp4
expected output: 1/7 rendered — same matrix the /media preview surfaces for this asset.

Composition layer × scene 7 scenes · 370.8s · comp_id + rendered still + tier + the script

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
open0–48.5sspatial-parallaxicon·color♪ bed_in
Anyone can say they make video. Most of it is stock footage with a filter on top, and a bill from a render farm you will never see. We are going to do the opposite. We are going to open the machine and walk you through the actual pipeline that makes every clip on our site, end to end, on one workstation. Generative imagery from local models, real three-dimensional geometry you can drive frame by frame, and a render step that runs on the graphics card sitting under the desk. No mystery, no agency markup, no stock. By the end you will know every tool, every file, and every step, well enough to rebuild it yourself. That is the whole point. We teach the move.
on-screen: The pipeline, shown
expected on screen: white ground · octa hero in the shared Signal Field · Lumen leads · node-graph · spatial-parallax · icon·color logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape octaground whitetreatment colormotion spatial-parallaxpower summoninstrument summon→The pipeline, shown
2s2
matches intent
NumberedList
template
teach48.5–102.3skinetic-buildicon·color♪ node_lock
It starts with a plan, not a camera. The old way was to shoot first, then scramble in the edit to find a story that was never there. We flip that. A content map decides which stories actually matter for the week, and that lives in a single source file, one topic list the whole pipeline reads from. From there a storyboard fixes every shot before a single frame renders: the beat, the on-screen line, the duration in seconds. Each scene carries its own caption and its own runtime, so nothing drifts. When the build runs, it reads that file, not our mood. The shoot day becomes a render day, lean and repeatable, because the thinking already happened on paper. Plan the shot, then let the machine execute it exactly.
on-screen: Plan before you shoot
expected on screen: white ground · a NumberedList panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·color logo · caption bottom-left
spec (the prompt): comp_id NumberedListvisual node-graphshape octaground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→Plan before you shootcurate items, nodes
3s3
matches intent
ChecklistCard
template
teach102.3–155.4skinetic-buildicon·color♪ node_lock
Now the three-dimensional layer, and this is real geometry, not a video clip pretending to have depth. We build it in three.js through React Three Fiber, so the scene is code: extruded marks from actual vector paths, the pillar shapes, a particle field, lights you position by hand. When a shape needs to be heavier or carved with more detail, it goes through Blender first, then comes back as a mesh we light and animate in the browser. The difference from a generative video model is control. We are not hoping the model keeps the logo straight across thirty frames. We set the camera, we key the motion, we drive every frame from numbers. If it is wrong, we change a value and it is right. That is what controllable means.
on-screen: 3D you can control
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·color logo · caption bottom-left
spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→3D you can controlcurate items, nodes
4s4
matches intent
LogStream
template
teach155.4–215.10000000000002skinetic-buildicon·color♪ node_lock
Generative imagery has its place, but you use it on purpose. The backplates, the textures, the atmospheric washes behind the geometry come from local image models, and we run them through ComfyUI so the graph is explicit: this prompt, this checkpoint, this seed, the brand palette locked in every time. That makes it repeatable instead of a slot machine. We generate what belongs in the background and nothing more. The on-screen text is never generated, because models cannot spell a wordmark reliably and we will not gamble the brand on a hallucinated letter. Type stays in code, in Tahoma, composited cleanly on top. So generation fills the world, geometry carries the structure, and the words stay exact. Each tool does the job it is actually good at.
on-screen: Generate on purpose
expected on screen: white ground · a LogStream panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·color logo · caption bottom-left
spec (the prompt): comp_id LogStreamvisual node-graphshape octaground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→Generate on purposecurate nodes, rows
5s5
matches intent
StepFlow
template
teach215.1–272.0skinetic-buildicon·color♪ node_lock
Then you render, and you render where you already paid for the hardware. Remotion takes those three.js scenes and the generated plates and the type, and turns the whole composition into frames, driven by the same source file from the start. The heavy lifting, the encoding, hands off to ffmpeg running on the local graphics card. That means hardware acceleration on the GPU under the desk, not a metered cloud queue. No per-minute render bill, no upload, no waiting in someone else's line. We output every aspect ratio we need from one render: the tall cut for vertical, the wide cut for the long form, the square. Same pipeline, same machine, every format. Owning the render step is the difference between a craft and a subscription.
on-screen: Render local, pay nothing
expected on screen: white ground · a StepFlow panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·color logo · caption bottom-left
spec (the prompt): comp_id StepFlowvisual node-graphshape octaground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→Render local, pay nothingcurate nodes, steps
6s6
matches intent
StatScoreboard
template
proof272.0–323.1sreceipts-counticon·color♪ node_lock
Here is the proof, and it is the simplest kind. Every video on our site came through exactly this path: the plan in one file, the geometry in three.js, the plates from ComfyUI, the type in code, Remotion and ffmpeg finishing it on the local card. You are watching the output right now. Nothing here is stock, nothing was rented, nothing was approved by a vendor we have to credit. One brief went in and a stack of on-brand clips came out, in every ratio, rendered in the room. That is the receipt. Not a number we ask you to trust, but the thing itself, playing on the screen, built the way we just described. If you can see it, you can verify it. We prefer it that way.
on-screen: Watch the render
expected on screen: white ground · a StatScoreboard panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·color logo · caption bottom-left
spec (the prompt): comp_id StatScoreboardvisual receiptsshape octaground whitetreatment colormotion receipts-countpower receiptsinstrument spotlight→Watch the rendercurate pillar, stats, statsLabels
7s7
matches intent
shared field
signature-3d
resolve323.1–370.8scoalescenceicon·color♪ bed_out
So that is the pipeline, minus the hype. Plan it in one file, build the world in real three-dimensional code, generate the backgrounds with the palette locked, and render it local on your own card so nobody sends you an invoice for math your machine already did. You can copy this whole thing. The tools are public: three.js, React Three Fiber, Blender, ComfyUI, Remotion, ffmpeg. We just put them in order and kept control of every frame. If you want to see how each piece fits, and watch more proof that survives the scroll, the full build is documented at temerarii dot xyz. Go take it apart. That is what it is for.
on-screen: temerarii.xyz
expected on screen: white ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·color logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground whitetreatment colormotion coalescencepower coalescenceinstrument coalescence→temerarii.xyz

Format stack 1 aspects · same scenes[], re-cropped

16:9
1920×1080
X/Twitter · YouTube · LinkedIn video

Channels 2 destinations

YouTubeBlog

Social captions supplemental published copy · per channel (comp_id level)

youtubeHow We Make Every Video on One Workstation, No Stock, No Render Farm Anyone can say they make video. Most of it is stock footage with a filter and a render-farm bill you never see. This video opens the actual pipeline that makes every clip on our site, end to end, on one workstation. What you will learn: - Plan before you shoot: a content map decides which stories matter, and a storyboard fixes every beat, on-screen line, and duration before a frame renders. - 3D you can control: real geometry in three.js through React Three Fiber, heavier shapes carved in Blender first. You set the camera and key the motion from numbers, not hope. - Generate on purpose: backplates and textures from local image models run through ComfyUI with a locked seed and palette. On-screen type stays in code, never generated. - Render local: Remotion turns the scenes into frames, ffmpeg encodes on the GPU under the desk, and one render outputs every aspect ratio. No metered cloud queue. Then the proof: every video on the site came through exactly this path. You are watching the output, built the way described, so if you can see it you can verify it. Keywords: Remotion, three.js, React Three Fiber, ComfyUI, ffmpeg, local video rendering, GPU. See the whole system run in public at temerarii.xyz.

Cross-links every lens is a view on this one record