VideoEEvan ChaOct 7Make a ~60s 16:9 product demo video for Evals (evals.ag): battle AI setups on your own task and vote blind. ## Story 1. Hook (first 3s must be instantly clear): real AI-made game/video outputs of the SAME prompt slam in side by side, moving, full-bleed → big type "Which one is better?" → rapid A/B/C/D flips on the beats → "Same prompt. Different setups." → "You can't tell by guessing." 2. A real game task is typed into the Evals composer: "Build a polished playable Sonic-style 3D platform game for the browser." → Battle → up to 4 setups (Model · Skill · Environment), each landing with real values and moving UI. 3. Send → velocity-matched zoom-through into the big hit → the 4 results play side by side. 4. Blind compare: two moving outputs, "Which would you choose?" → "I prefer A". 5. Run record of that same output: LLM, skill, environment, turn time, tokens. 6. Setup leaderboard: "Setups, not just models." 7. Community wall of real game / video / shorts outputs. 8. End card: Evals mark + wordmark, "Stop guessing. Battle it.", evals.ag. ## Content - Show only games, videos, 3D scenes, motion pieces and shorts. No websites, no landing pages. - Real Evals UI only, never mocked up. Every name and number on screen is real; only model names that exist in Evals (e.g. Claude Opus 5.5, GPT-6 Astra). - No real-person likeness. ## Voice - One energetic, confident English male narrator: excited on the hook, curious on the question, emphatic on the tagline, quick through the UI steps. - ~170 words in one continuous take that fills the whole film. No pause longer than ~0.35s, no clipped words. Say "Evals" clearly as "E-vals". - The edit follows the voice: each shot change lands on the beat nearest the start of the phrase it illustrates. ## Music & sound - Modern minimal tech-launch track, 120 BPM: punchy kick, deep 808, crisp hats, glassy synth plucks. Apple / Linear keynote feel. No cheesy EDM risers, no corporate stock vibe. - Voice always leads. Music dips ~6dB only while the voice speaks, on a smooth envelope. - SFX sit just under the music and rise above it only on hits. - 4–6 big hits get a layered reverse swell + sub boom + transient + glitch. Light ticks and whooshes elsewhere, never on every cut. ## Look - One sans font, one accent colour. - Real UI as rounded cards (16–22px radius) with soft shadows. - Sections alternate dark and light. - Never: outlines or hairline boxes, rules, underlines, highlight boxes behind words, cheap gradients, emoji, fake UI. ## Motion: this is the feel - Premium, fast, confident: an Apple / Linear keynote cut at shorts speed. - One continuous camera with velocity-continuous easing. Two easing personalities only: snappy (~25% of remaining distance per frame) and floaty (~12%). - Nothing ever stops dead. Every hold keeps drifting 1–3%. Fast moves decelerate over at least 6 frames. The end card keeps pushing until the last frame. - Exits accelerate into the cut; the next shot carries that velocity through it. - Real whip-pans: both shots travel together over 0.3–0.45s, motion blur peaking mid-move. One whip direction throughout. - Overlapping action: the next element starts while the previous one is ~60% done. No start-stop chains. - Text is screen-locked and arrives together with its container. Words reveal one by one, 2–4 frames apart, and the newest word flashes the accent. In ≤0.35s, readable ≥0.7s, out ≤0.25s. - On busy footage the camera stays calm (slow push ≤3%); the energy comes from cutting on the beat. - Every cut lands on the beat (±1 frame), with the visual hit and the SFX on the same frame. No double cuts. - Big hits (4–6 only): +8.5% zoom punch, ~16px shake at ~22Hz settling in 0.1s, RGB split 16px → 7px over 4 frames, 1–2 frames of white flash. A lighter version on secondary cuts. ## Quality bar Before calling it done, watch it like a motion director who didn't build it: - no dead stops, frozen frames or stutters - every cut on the beat - every word audible - every name and number real Fix the 5 worst moments first.LLMGPT-6.1 SolGen AI—Not RecordedSkillhyperframesEnv—Not Recorded
VideoEEvan ChaOct 7Make a ~60s 16:9 product demo video for Evals (evals.ag): battle AI setups on your own task and vote blind. ## Story 1. Hook (first 3s must be instantly clear): real AI-made game/video outputs of the SAME prompt slam in side by side, moving, full-bleed → big type "Which one is better?" → rapid A/B/C/D flips on the beats → "Same prompt. Different setups." → "You can't tell by guessing." 2. A real game task is typed into the Evals composer: "Build a polished playable Sonic-style 3D platform game for the browser." → Battle → up to 4 setups (Model · Skill · Environment), each landing with real values and moving UI. 3. Send → velocity-matched zoom-through into the big hit → the 4 results play side by side. 4. Blind compare: two moving outputs, "Which would you choose?" → "I prefer A". 5. Run record of that same output: LLM, skill, environment, turn time, tokens. 6. Setup leaderboard: "Setups, not just models." 7. Community wall of real game / video / shorts outputs. 8. End card: Evals mark + wordmark, "Stop guessing. Battle it.", evals.ag. ## Content - Show only games, videos, 3D scenes, motion pieces and shorts. No websites, no landing pages. - Real Evals UI only, never mocked up. Every name and number on screen is real; only model names that exist in Evals (e.g. Claude Opus 5.5, GPT-6 Astra). - No real-person likeness. ## Voice - One energetic, confident English male narrator: excited on the hook, curious on the question, emphatic on the tagline, quick through the UI steps. - ~170 words in one continuous take that fills the whole film. No pause longer than ~0.35s, no clipped words. Say "Evals" clearly as "E-vals". - The edit follows the voice: each shot change lands on the beat nearest the start of the phrase it illustrates. ## Music & sound - Modern minimal tech-launch track, 120 BPM: punchy kick, deep 808, crisp hats, glassy synth plucks. Apple / Linear keynote feel. No cheesy EDM risers, no corporate stock vibe. - Voice always leads. Music dips ~6dB only while the voice speaks, on a smooth envelope. - SFX sit just under the music and rise above it only on hits. - 4–6 big hits get a layered reverse swell + sub boom + transient + glitch. Light ticks and whooshes elsewhere, never on every cut. ## Look - One sans font, one accent colour. - Real UI as rounded cards (16–22px radius) with soft shadows. - Sections alternate dark and light. - Never: outlines or hairline boxes, rules, underlines, highlight boxes behind words, cheap gradients, emoji, fake UI. ## Motion: this is the feel - Premium, fast, confident: an Apple / Linear keynote cut at shorts speed. - One continuous camera with velocity-continuous easing. Two easing personalities only: snappy (~25% of remaining distance per frame) and floaty (~12%). - Nothing ever stops dead. Every hold keeps drifting 1–3%. Fast moves decelerate over at least 6 frames. The end card keeps pushing until the last frame. - Exits accelerate into the cut; the next shot carries that velocity through it. - Real whip-pans: both shots travel together over 0.3–0.45s, motion blur peaking mid-move. One whip direction throughout. - Overlapping action: the next element starts while the previous one is ~60% done. No start-stop chains. - Text is screen-locked and arrives together with its container. Words reveal one by one, 2–4 frames apart, and the newest word flashes the accent. In ≤0.35s, readable ≥0.7s, out ≤0.25s. - On busy footage the camera stays calm (slow push ≤3%); the energy comes from cutting on the beat. - Every cut lands on the beat (±1 frame), with the visual hit and the SFX on the same frame. No double cuts. - Big hits (4–6 only): +8.5% zoom punch, ~16px shake at ~22Hz settling in 0.1s, RGB split 16px → 7px over 4 frames, 1–2 frames of white flash. A lighter version on secondary cuts. ## Quality bar Before calling it done, watch it like a motion director who didn't build it: - no dead stops, frozen frames or stutters - every cut on the beat - every word audible - every name and number real Fix the 5 worst moments first.LLMGPT-6.1 SolGen AI—Not RecordedSkillhyperframesEnv—Not Recorded
VideoEEvan ChaOct 7reference this video for motion graphic demo https://x.com/samgrows/status/2107571800020222393?s=20 you must describe this site https://evals.ag/LLMGPT-6.1 SolGen AI—Not RecordedSkillagent-browserEnv—Not Recorded
VideoEEvan ChaOct 7Make a ~60s 16:9 product demo video for Evals (evals.ag): battle AI setups on your own task and vote blind. ## Story 1. Hook (first 3s must be instantly clear): real AI-made game/video outputs of the SAME prompt slam in side by side, moving, full-bleed → big type "Which one is better?" → rapid A/B/C/D flips on the beats → "Same prompt. Different setups." → "You can't tell by guessing." 2. A real game task is typed into the Evals composer: "Build a polished playable Sonic-style 3D platform game for the browser." → Battle → up to 4 setups (Model · Skill · Environment), each landing with real values and moving UI. 3. Send → velocity-matched zoom-through into the big hit → the 4 results play side by side. 4. Blind compare: two moving outputs, "Which would you choose?" → "I prefer A". 5. Run record of that same output: LLM, skill, environment, turn time, tokens. 6. Setup leaderboard: "Setups, not just models." 7. Community wall of real game / video / shorts outputs. 8. End card: Evals mark + wordmark, "Stop guessing. Battle it.", evals.ag. ## Content - Show only games, videos, 3D scenes, motion pieces and shorts. No websites, no landing pages. - Real Evals UI only, never mocked up. Every name and number on screen is real; only model names that exist in Evals (e.g. Claude Opus 5.5, GPT-6 Astra). - No real-person likeness. ## Voice - One energetic, confident English male narrator: excited on the hook, curious on the question, emphatic on the tagline, quick through the UI steps. - ~170 words in one continuous take that fills the whole film. No pause longer than ~0.35s, no clipped words. Say "Evals" clearly as "E-vals". - The edit follows the voice: each shot change lands on the beat nearest the start of the phrase it illustrates. ## Music & sound - Modern minimal tech-launch track, 120 BPM: punchy kick, deep 808, crisp hats, glassy synth plucks. Apple / Linear keynote feel. No cheesy EDM risers, no corporate stock vibe. - Voice always leads. Music dips ~6dB only while the voice speaks, on a smooth envelope. - SFX sit just under the music and rise above it only on hits. - 4–6 big hits get a layered reverse swell + sub boom + transient + glitch. Light ticks and whooshes elsewhere, never on every cut. ## Look - One sans font, one accent colour. - Real UI as rounded cards (16–22px radius) with soft shadows. - Sections alternate dark and light. - Never: outlines or hairline boxes, rules, underlines, highlight boxes behind words, cheap gradients, emoji, fake UI. ## Motion: this is the feel - Premium, fast, confident: an Apple / Linear keynote cut at shorts speed. - One continuous camera with velocity-continuous easing. Two easing personalities only: snappy (~25% of remaining distance per frame) and floaty (~12%). - Nothing ever stops dead. Every hold keeps drifting 1–3%. Fast moves decelerate over at least 6 frames. The end card keeps pushing until the last frame. - Exits accelerate into the cut; the next shot carries that velocity through it. - Real whip-pans: both shots travel together over 0.3–0.45s, motion blur peaking mid-move. One whip direction throughout. - Overlapping action: the next element starts while the previous one is ~60% done. No start-stop chains. - Text is screen-locked and arrives together with its container. Words reveal one by one, 2–4 frames apart, and the newest word flashes the accent. In ≤0.35s, readable ≥0.7s, out ≤0.25s. - On busy footage the camera stays calm (slow push ≤3%); the energy comes from cutting on the beat. - Every cut lands on the beat (±1 frame), with the visual hit and the SFX on the same frame. No double cuts. - Big hits (4–6 only): +8.5% zoom punch, ~16px shake at ~22Hz settling in 0.1s, RGB split 16px → 7px over 4 frames, 1–2 frames of white flash. A lighter version on secondary cuts. ## Quality bar Before calling it done, watch it like a motion director who didn't build it: - no dead stops, frozen frames or stutters - every cut on the beat - every word audible - every name and number real Fix the 5 worst moments first.LLMGPT-6.1 SolGen AI—Not RecordedSkillhyperframesEnv—Not Recorded
VideoEEvan ChaOct 7reference this video for motion graphic demo https://x.com/samgrows/status/2107571800020222393?s=20 you must describe this site https://evals.ag/LLMGPT-6.1 SolGen AI—Not RecordedSkillNo skillEnv—Not Recorded
VideoEEvan ChaOct 6could you make a demo video reference this site https://x.com/jordanarchivess/status/2107536262894915762?s=20. what you need to make it site is https://evals.ag. you must use tts with elevenlabs v4 apiLLMGPT-6.1 SolGen AI—Not RecordedSkillhyperframesEnv—Not Recorded
OtherEEvan ChaOct 6Make a ~60s product launch film for Evals (evals.ag) — the place to battle AI setups on your own task and vote blind. 16:9, 1920×1080, 30fps, music-locked, no narration — on-screen type tells the story. Build it in HyperFrames (HTML + one paused GSAP timeline) under videos/evals-<name>/. 0. Inputs Product: https://evals.ag (app: https://evals-app.vercel.app — use my logged-in Chrome session for anything behind sign-in). Motion reference: videos/evals-hype/renders/evals-ref2-short-fast2-impact.mp4 (approved). Match its feel exactly; change only scenario, design and assets. Core message: "Same prompt, different setups — battle them and vote blind. Stop guessing. Battle it." What Evals really does (only show these — no invented features, numbers, rankings or names) Ask: type what you want to make in the composer ("What would you like to make?"). Run modes: Battle (blind), Side-by-side comparison (pick models and skills), Direct. Battle: up to 4 setups. A setup = model + skill + environment (e.g. Claude Opus 5.5 / GPT-6 Astra, skills like hyperframes / frontend-design / web-design-guidelines, environments like Native Claude / Recorded session). Compare, blind: same prompt, outputs side by side as playable live previews, names hidden until you vote ("I prefer A / B"). Inspect: every output keeps its full run record — LLM, gen AI, skill, software, environment, services contacted, turn time, turn tokens, status. Rank: votes roll up into leaderboards of setups, not just models ("Setups, not just models." — same model, different setups). Explore: community Outputs, Tasks, Skills, Compare, Community, Leaderboards. Real model names visible in the product: Claude Opus 5.5, GPT-6 Astra. Show only names/numbers you actually see in your captures. End card: Evals mark + wordmark, "Stop guessing. Battle it.", URL evals.ag. 1. Reverse-engineer the reference first (frames are the truth) Download the reference and study it frame by frame. Write SPEC.md with measured numbers, not impressions: every cut (frame number), shot order and durations, average shot length, cuts per 10s camera moves per shot (start/end position, scale, curve), easing measured per frame (fraction of remaining distance covered each frame) type-on speed (frames per char), caret behaviour, word-by-word reveal spacing, new-word accent flash duration card/UI choreography (fly-in paths, stacking, depth), light↔dark section switches, split-screen layouts sound map: where every hit/whoosh/click lands relative to the cut Then rebuild shot for shot at the same rhythm. Only brand, copy, design and assets change. 2. Scenario Write SCRIPT.md before building: a fresh narrative arc true to what Evals really does (hook: a new SOTA model every week — which one is actually best at your work? → type a task → Battle up to 4 setups → blind side-by-side, vote → full run record → setup leaderboards → "Stop guessing. Battle it." evals.ag). Don't reuse the previous films' copy. Short punchy lines (2–5 words per beat), English. Every beat gets a timestamp on the music grid. 3. Design Write DESIGN.md once and make every section obey it (no per-section drift): palette (one accent per frame), type pairing (one sans for headlines; weights/sizes in px; tracking −0.02em, line-height 1.0) card treatment: real UI captures, rounded 14–18px corners, soft layered shadow Never: outline/hairline boxes, rules, underlines, highlight boxes behind words, cheap gradients, emoji, fake UI mockups, invented numbers/rankings/features. 4. Assets (all real, all new) Capture the real Evals UI with Playwright at 2–3× DPR: home composer (empty / typed), Run-mode menu (Battle / Side-by-side / Direct), setups stepper (1–4), a live run page (4 agents generating → "Your options are ready"), Compare (blind A/B with "I prefer A/B"), output run record panel, Leaderboards (setup rows), Explore Outputs/Tasks/Skills. Run one real 4-setup Battle on a visual prompt (e.g. a playable browser game) so the four results are genuinely the same task. Record real Evals outputs as clips from their live previews (screencast, 1600×900, 30fps, 6–7s each; press start/arrow keys or orbit so they move). Use outputs not used in earlier Evals films. Typing scenes: put a text layer exactly over the real input field, matching its font, size and colour. New music track (detect BPM and first downbeat with a script) and a fresh SFX set. 5. Motion rules (this is the 감도 — non-negotiable) One camera = one pure function of time cam(t) built from keyframes with velocity-continuous easing; applied from the master timeline. Deterministic: no timers, no randomness, any frame renders alone. Two easing families only: snappy ≈25% of remaining distance per frame (90% in 8–9 frames) and floaty ≈12% (18–20 frames). No overshoot unless the reference has it. Exits accelerate into the cut; the next shot carries the motion through it (velocity-matched). Real whip-pans: outgoing and incoming shots travel together over 0.30–0.45s, with velocity-driven motion blur that peaks mid-move. Never blur switched on over a hard cut. Overlays are screen-locked (never inherit the camera whip). Text arrives with its container in one mask reveal. Overlapping action: the next element starts at ~60% of the previous tween. No start-stop chains. Nothing freezes: every hold carries a 1–3% slow drift (sine.inOut across the whole hold). Fast moves decelerate over ≥6 frames — no dead stops. No double cuts (two visual changes on adjacent frames). Busy footage gets only a slow push; energy comes from the cuts. Word reveals 2–4 frames apart; the newest word flashes the accent, then settles 3–12 frames later. Hero type-on 1 char / 2 frames; in-product typing 0.6–0.9 char/frame; caret solid (never blinks). Every cut on the beat ±1 frame; visual hit and SFX on the same frame. 6. Speed, edit, impact Speed by re-rendering, never frame-dropping: render at --fps 30/speedup and play back at 30fps (e.g. --fps 95/4 → 1.263×). Pick the speed-up so one beat = a whole number of frames. Quantize every segment to 8th notes; round segment start frames up. Impact FX in post (ffmpeg) on 4–6 big hits only (cut to dark, reveal word, flash, key word, logo): zoom punch +8.5%, decaying τ = 0.09s crop shake 16px at ~22Hz, decaying τ = 0.1s rgbashift 16px for 2 frames, then 7px for 2 frames 1–2 frames of white flash Lighter version on secondary cuts (3.5% punch, 6px shake, 1 frame of split). Find hit frames from frame-diff peaks and by looking. 7. Sound Music bed carries the film; no ducking. SFX bus ~3dB under the music overall, above it only on hits and in the music's own gaps. At each big hit, layer reverse swell + boom (high-passed at 60Hz) + short transient + glitch synced to the RGB split. Use a modest total (~40–45 sounds); never spread SFX evenly on every cut. Master at −14 LUFS, AAC 192k. 8. QA before you report (mandatory) motion.py <render> <bpm> <first_beat> must show: no dead stops, no frozen holds, every cut within ±1.5 frames of a beat, no adjacent-frame cuts. strip.sh (16 consecutive frames) at every transition, and look at each one. A good whip shows a smooth velocity ramp with both shots visible mid-move. Contact sheets alone hide motion bugs. Check text readability, safe margins, and that every number/name on screen exists in the real product. Deliver renders/evals-<name>-v1.mp4 plus a report: script, design summary, asset list, shot list with times, BPM and speed factor, hit frames with FX, SFX map, QA results.LLMGPT-6.1 SolGen AI—Not RecordedSkillhyperframesEnv—Not Recorded
VideoEEvan ChaOct 6Evals landscape demo-video prompt (approved "감도") Copy everything below the line into a new session. Make a ~60s landscape product demo video for Evals (evals.ag) — the place to battle AI setups on your own task and vote blind. Horizontal 16:9, 1920×1080, 30fps (for YouTube / website / X timeline). Not a vertical Short/Reel — no 9:16 output, no vertical crops, no phone safe-zones. Music-locked, no narration — on-screen type tells the story while the real product is demoed end to end. Build it in HyperFrames (HTML + one paused GSAP timeline) under /Users/evan/workspace/video-generator/videos/evals-demo3/. 0. Inputs Product: https://evals.ag (app: https://evals-app.vercel.app — use the logged-in Claude in Chrome session if connected; otherwise public pages). Motion reference (local file, already downloaded): /Users/evan/workspace/video-generator/videos/evals-hype/renders/evals-ref2-short-fast2-impact.mp4 (approved). Match its motion feel exactly (it is also 16:9); change only scenario, design and assets. Its 26s cut-down is just the reference for feel — this video runs the full ~60s. Core message: "Same prompt, different setups — battle them and vote blind. Stop guessing. Battle it." Run it autonomously — do not ask me for input Work in Claude Code with the repo /Users/evan/workspace/video-generator as the working directory. Every path below is absolute; everything you need is already on this machine. Do NOT stop to ask questions or request inputs. Every input is specified here; for anything not specified, pick a sensible default, write the decision into DECISIONS.md, and keep going until the final file is rendered. If something is unavailable, use the fallback and continue: Chrome not connected or a page needs sign-in → use the public pages (https://evals-app.vercel.app home, /compare, leaderboards, explore) with Playwright, and record outputs from their public "Open preview" links. Can't run a new Battle → use public outputs that share the same prompt (the /compare pages show pairs). Music: pick an unused track from /Users/evan/workspace/video-generator/videos/evals-hype/music3/ or music2/. SFX: /Users/evan/workspace/video-generator/videos/evals-hype/sfx2/, ref2/sfx3/, ref2/sfx4/. QA scripts: /Users/evan/workspace/video-generator/videos/evals-hype/scripts/motion.py and strip.sh (also beats.py for BPM). If they fail, write equivalents. Render: npx --yes hyperframes@0.8.101 render -o <out.mp4> --quiet from the project dir (--fps 95/4 etc. for speed re-render). API calls via curl (python has no SSL certs here). What Evals really does (only show these — no invented features, numbers, rankings or names) Ask: type what you want to make in the composer ("What would you like to make?"). Run modes: Battle (blind), Side-by-side comparison (pick models and skills), Direct. Battle: up to 4 setups. A setup = model + skill + environment (e.g. Claude Opus 5.5 / GPT-6 Astra, skills like hyperframes / frontend-design / web-design-guidelines, environments like Native Claude / Recorded session). Compare, blind: same prompt, outputs side by side as playable live previews, names hidden until you vote ("I prefer A / B"). Inspect: every output keeps its full run record — LLM, gen AI, skill, software, environment, services contacted, turn time, turn tokens, status. Rank: votes roll up into leaderboards of setups, not just models ("Setups, not just models." — same model, different setups). Explore: community Outputs, Tasks, Skills, Compare, Community, Leaderboards. Real model names visible in the product: Claude Opus 5.5, GPT-6 Astra. Show only names/numbers you actually see in your captures. End card: Evals mark + wordmark, "Stop guessing. Battle it.", URL evals.ag. 1. Reverse-engineer the reference first (frames are the truth) Study the local reference file frame by frame (ffmpeg frame dumps + frame-diff). Its design notes are in /Users/evan/workspace/video-generator/videos/evals-hype/ref2/SPEC.md and MOTION_FIX.md — read them, but design and copy must be new. Write SPEC.md with measured numbers, not impressions: every cut (frame number), shot order and durations, average shot length, cuts per 10s camera moves per shot (start/end position, scale, curve), easing measured per frame (fraction of remaining distance covered each frame) type-on speed (frames per char), caret behaviour, word-by-word reveal spacing, new-word accent flash duration card/UI choreography (fly-in paths, stacking, depth), light↔dark section switches, split-screen layouts sound map: where every hit/whoosh/click lands relative to the cut Then rebuild shot for shot at the same rhythm. Only brand, copy, design and assets change. 2. Scenario Write SCRIPT.md before building: a fresh narrative arc true to what Evals really does (hook: a new SOTA model every week — which one is actually best at your work? → type a task → Battle up to 4 setups → blind side-by-side, vote → full run record → setup leaderboards → "Stop guessing. Battle it." evals.ag). Don't reuse the previous films' copy. Short punchy lines (2–5 words per beat), English. Every beat gets a timestamp on the music grid. 3. Design Write DESIGN.md once and make every section obey it (no per-section drift): palette (one accent per frame), type pairing (one sans for headlines; weights/sizes in px; tracking −0.02em, line-height 1.0) card treatment: real UI captures, rounded 14–18px corners, soft layered shadow Never: outline/hairline boxes, rules, underlines, highlight boxes behind words, cheap gradients, emoji, fake UI mockups, invented numbers/rankings/features. 4. Assets (all real, all new) Capture the real Evals UI with Playwright at 2–3× DPR: home composer (empty / typed), Run-mode menu (Battle / Side-by-side / Direct), setups stepper (1–4), a live run page (4 agents generating → "Your options are ready"), Compare (blind A/B with "I prefer A/B"), output run record panel, Leaderboards (setup rows), Explore Outputs/Tasks/Skills. Run one real 4-setup Battle on a visual prompt (e.g. a playable browser game) so the four results are genuinely the same task. Record real Evals outputs as clips from their live previews (screencast, 1600×900, 30fps, 6–7s each; press start/arrow keys or orbit so they move). Use outputs not used in earlier Evals films. Typing scenes: put a text layer exactly over the real input field, matching its font, size and colour. New music track (detect BPM and first downbeat with a script) and a fresh SFX set. 5. Motion rules (this is the 감도 — non-negotiable) One camera = one pure function of time cam(t) built from keyframes with velocity-continuous easing; applied from the master timeline. Deterministic: no timers, no randomness, any frame renders alone. Two easing families only: snappy ≈25% of remaining distance per frame (90% in 8–9 frames) and floaty ≈12% (18–20 frames). No overshoot unless the reference has it. Exits accelerate into the cut; the next shot carries the motion through it (velocity-matched). Real whip-pans: outgoing and incoming shots travel together over 0.30–0.45s, with velocity-driven motion blur that peaks mid-move. Never blur switched on over a hard cut. Overlays are screen-locked (never inherit the camera whip). Text arrives with its container in one mask reveal. Overlapping action: the next element starts at ~60% of the previous tween. No start-stop chains. Nothing freezes: every hold carries a 1–3% slow drift (sine.inOut across the whole hold). Fast moves decelerate over ≥6 frames — no dead stops. No double cuts (two visual changes on adjacent frames). Busy footage gets only a slow push; energy comes from the cuts. Word reveals 2–4 frames apart; the newest word flashes the accent, then settles 3–12 frames later. Hero type-on 1 char / 2 frames; in-product typing 0.6–0.9 char/frame; caret solid (never blinks). Every cut on the beat ±1 frame; visual hit and SFX on the same frame. 6. Speed, edit, impact Speed by re-rendering, never frame-dropping: render at --fps 30/speedup and play back at 30fps (e.g. --fps 95/4 → 1.263×). Pick the speed-up so one beat = a whole number of frames. Quantize every segment to 8th notes; round segment start frames up. Impact FX in post (ffmpeg) on 4–6 big hits only (cut to dark, reveal word, flash, key word, logo): zoom punch +8.5%, decaying τ = 0.09s crop shake 16px at ~22Hz, decaying τ = 0.1s rgbashift 16px for 2 frames, then 7px for 2 frames 1–2 frames of white flash Lighter version on secondary cuts (3.5% punch, 6px shake, 1 frame of split). Find hit frames from frame-diff peaks and by looking. 7. Sound Music bed carries the film; no ducking. SFX bus ~3dB under the music overall, above it only on hits and in the music's own gaps. At each big hit, layer reverse swell + boom (high-passed at 60Hz) + short transient + glitch synced to the RGB split. Use a modest total (~40–45 sounds); never spread SFX evenly on every cut. Master at −14 LUFS, AAC 192k. 8. QA before you report (mandatory) python3 /Users/evan/workspace/video-generator/videos/evals-hype/scripts/motion.py <render> <bpm> <first_beat> must show: no dead stops, no frozen holds, every cut within ±1.5 frames of a beat, no adjacent-frame cuts. sh /Users/evan/workspace/video-generator/videos/evals-hype/scripts/strip.sh <render> <t> <out.png> (16 consecutive frames) at every transition, and look at each one. A good whip shows a smooth velocity ramp with both shots visible mid-move. Contact sheets alone hide motion bugs. Check text readability, safe margins, and that every number/name on screen exists in the real product. Deliver one 1920×1080 file renders/evals-demo3-v1.mp4 (no vertical version) plus a report: script, design summary, asset list, shot list with times, BPM and speed factor, hit frames with FX, SFX map, QA results.LLMGPT-6.1 SolGen AI—Not RecordedSkillhyperframesEnv—Not Recorded
OtherEEvan ChaOct 6Make a ~60s product launch film for Evals (evals.ag) — the place to battle AI setups on your own task and vote blind. 16:9, 1920×1080, 30fps, music-locked, no narration — on-screen type tells the story. Build it in HyperFrames (HTML + one paused GSAP timeline) under videos/evals-<name>/. 0. Inputs Product: https://evals.ag (app: https://evals-app.vercel.app — use my logged-in Chrome session for anything behind sign-in). Motion reference: videos/evals-hype/renders/evals-ref2-short-fast2-impact.mp4 (approved). Match its feel exactly; change only scenario, design and assets. Core message: "Same prompt, different setups — battle them and vote blind. Stop guessing. Battle it." What Evals really does (only show these — no invented features, numbers, rankings or names) Ask: type what you want to make in the composer ("What would you like to make?"). Run modes: Battle (blind), Side-by-side comparison (pick models and skills), Direct. Battle: up to 4 setups. A setup = model + skill + environment (e.g. Claude Opus 5.5 / GPT-6 Astra, skills like hyperframes / frontend-design / web-design-guidelines, environments like Native Claude / Recorded session). Compare, blind: same prompt, outputs side by side as playable live previews, names hidden until you vote ("I prefer A / B"). Inspect: every output keeps its full run record — LLM, gen AI, skill, software, environment, services contacted, turn time, turn tokens, status. Rank: votes roll up into leaderboards of setups, not just models ("Setups, not just models." — same model, different setups). Explore: community Outputs, Tasks, Skills, Compare, Community, Leaderboards. Real model names visible in the product: Claude Opus 5.5, GPT-6 Astra. Show only names/numbers you actually see in your captures. End card: Evals mark + wordmark, "Stop guessing. Battle it.", URL evals.ag. 1. Reverse-engineer the reference first (frames are the truth) Download the reference and study it frame by frame. Write SPEC.md with measured numbers, not impressions: every cut (frame number), shot order and durations, average shot length, cuts per 10s camera moves per shot (start/end position, scale, curve), easing measured per frame (fraction of remaining distance covered each frame) type-on speed (frames per char), caret behaviour, word-by-word reveal spacing, new-word accent flash duration card/UI choreography (fly-in paths, stacking, depth), light↔dark section switches, split-screen layouts sound map: where every hit/whoosh/click lands relative to the cut Then rebuild shot for shot at the same rhythm. Only brand, copy, design and assets change. 2. Scenario Write SCRIPT.md before building: a fresh narrative arc true to what Evals really does (hook: a new SOTA model every week — which one is actually best at your work? → type a task → Battle up to 4 setups → blind side-by-side, vote → full run record → setup leaderboards → "Stop guessing. Battle it." evals.ag). Don't reuse the previous films' copy. Short punchy lines (2–5 words per beat), English. Every beat gets a timestamp on the music grid. 3. Design Write DESIGN.md once and make every section obey it (no per-section drift): palette (one accent per frame), type pairing (one sans for headlines; weights/sizes in px; tracking −0.02em, line-height 1.0) card treatment: real UI captures, rounded 14–18px corners, soft layered shadow Never: outline/hairline boxes, rules, underlines, highlight boxes behind words, cheap gradients, emoji, fake UI mockups, invented numbers/rankings/features. 4. Assets (all real, all new) Capture the real Evals UI with Playwright at 2–3× DPR: home composer (empty / typed), Run-mode menu (Battle / Side-by-side / Direct), setups stepper (1–4), a live run page (4 agents generating → "Your options are ready"), Compare (blind A/B with "I prefer A/B"), output run record panel, Leaderboards (setup rows), Explore Outputs/Tasks/Skills. Run one real 4-setup Battle on a visual prompt (e.g. a playable browser game) so the four results are genuinely the same task. Record real Evals outputs as clips from their live previews (screencast, 1600×900, 30fps, 6–7s each; press start/arrow keys or orbit so they move). Use outputs not used in earlier Evals films. Typing scenes: put a text layer exactly over the real input field, matching its font, size and colour. New music track (detect BPM and first downbeat with a script) and a fresh SFX set. 5. Motion rules (this is the 감도 — non-negotiable) One camera = one pure function of time cam(t) built from keyframes with velocity-continuous easing; applied from the master timeline. Deterministic: no timers, no randomness, any frame renders alone. Two easing families only: snappy ≈25% of remaining distance per frame (90% in 8–9 frames) and floaty ≈12% (18–20 frames). No overshoot unless the reference has it. Exits accelerate into the cut; the next shot carries the motion through it (velocity-matched). Real whip-pans: outgoing and incoming shots travel together over 0.30–0.45s, with velocity-driven motion blur that peaks mid-move. Never blur switched on over a hard cut. Overlays are screen-locked (never inherit the camera whip). Text arrives with its container in one mask reveal. Overlapping action: the next element starts at ~60% of the previous tween. No start-stop chains. Nothing freezes: every hold carries a 1–3% slow drift (sine.inOut across the whole hold). Fast moves decelerate over ≥6 frames — no dead stops. No double cuts (two visual changes on adjacent frames). Busy footage gets only a slow push; energy comes from the cuts. Word reveals 2–4 frames apart; the newest word flashes the accent, then settles 3–12 frames later. Hero type-on 1 char / 2 frames; in-product typing 0.6–0.9 char/frame; caret solid (never blinks). Every cut on the beat ±1 frame; visual hit and SFX on the same frame. 6. Speed, edit, impact Speed by re-rendering, never frame-dropping: render at --fps 30/speedup and play back at 30fps (e.g. --fps 95/4 → 1.263×). Pick the speed-up so one beat = a whole number of frames. Quantize every segment to 8th notes; round segment start frames up. Impact FX in post (ffmpeg) on 4–6 big hits only (cut to dark, reveal word, flash, key word, logo): zoom punch +8.5%, decaying τ = 0.09s crop shake 16px at ~22Hz, decaying τ = 0.1s rgbashift 16px for 2 frames, then 7px for 2 frames 1–2 frames of white flash Lighter version on secondary cuts (3.5% punch, 6px shake, 1 frame of split). Find hit frames from frame-diff peaks and by looking. 7. Sound Music bed carries the film; no ducking. SFX bus ~3dB under the music overall, above it only on hits and in the music's own gaps. At each big hit, layer reverse swell + boom (high-passed at 60Hz) + short transient + glitch synced to the RGB split. Use a modest total (~40–45 sounds); never spread SFX evenly on every cut. Master at −14 LUFS, AAC 192k. 8. QA before you report (mandatory) motion.py <render> <bpm> <first_beat> must show: no dead stops, no frozen holds, every cut within ±1.5 frames of a beat, no adjacent-frame cuts. strip.sh (16 consecutive frames) at every transition, and look at each one. A good whip shows a smooth velocity ramp with both shots visible mid-move. Contact sheets alone hide motion bugs. Check text readability, safe margins, and that every number/name on screen exists in the real product. Deliver renders/evals-<name>-v1.mp4 plus a report: script, design summary, asset list, shot list with times, BPM and speed factor, hit frames with FX, SFX map, QA results.LLMGPT-6.1 SolGen AI—Not RecordedSkillhyperframesEnv—Not Recorded
VideoEEvan ChaOct 6make a viral video in tiktok trending!LLMGPT-6.1 SolGen AI—Not RecordedSkillai-video-generationEnv—Not Recorded
WebsiteEEvan ChaOct 6Build a single-page landing site for a coffee subscription startup with a hero, pricing table and signup form.LLMGPT-6.1 SolGen AI—Not RecordedSkilldesign-taste-frontendEnv—Not Recorded
VideoEEvan ChaOct 6make a viral video reference this thing https://x.com/motion_conquest/status/2106786068712558848?s=20 what you need to make it is https://evals.ag/ site! demo videLLMGPT-6.1 SolGen AI—Not RecordedSkillai-video-generationEnv—Not Recorded
WebsiteEEvan ChaOct 6Build a landing page for a neighborhood bakery: menu, opening hours, map and a reservation button. It should look great on phones.LLMGPT-6.1 SolGen AI—Not RecordedSkilldesign-taste-frontendEnv—Not Recorded
WebsiteEEvan ChaOct 1Build a polished playable Sonic-style 3D platform game for the browser. Include a fast character, rings to collect, ramps, jumping, hazards, checkpoints, score and restart. Make speed and platforming feel satisfying. Deliver a working browser artifact.LLMGPT-6.1 SolGen AI—Not RecordedSkillNo skillEnv—Not Recorded
WebsiteEEvan ChaOct 1Build a polished playable Sonic-style 3D platform game for the browser. Include a fast character, rings to collect, ramps, jumping, hazards, checkpoints, score and restart. Make speed and platforming feel satisfying. Deliver a working browser artifact.LLMGPT-6.1 SolGen AI—Not RecordedSkillplatformerEnv—Not Recorded
