Ihe nkiri mmalite ihe nlereanya Ora 2

Jụọ m maka: aha ngwaahịa m, otu ahịrị okwu, akara ngosi m, nseta ihuenyo 3 ruo 6 nke ngwaahịa ahụ, onyonyo 40+ nke ihe ọ na-emepụta (ma ọ bụ foto ya), agba na mkpụrụedemede akara m, igodo ElevenLabs API na ID olu, tinyere egwu na-enweghị eze nwere mbelata doro anya (faịlụ ọdịyo na akara oge ọdịda). Ọ bụrụ na m ahapụ ihe ọ bụla, jiri ndabara ndị a: "Ora 2", "ihe nlereanya onyonyo emere maka uto", onyonyo efu sitere na Unsplash na Pixabay, Geist, ink #111214, olu Samara X (19STyYD15bswVz51nqLf) na eleven_v4, na Pixabay "Cascade Breathe" (129.83 BPM, dobe na 75.39s).

<script>
Dee olu nke nwere ahịrị itoolu n'ụdị a ma gbanwee ahịrị niile ka ọ dabara na ngwaahịa m:
"Nke a bụ [aha]. [ụdị]... e wuru maka [uru]. [Ngwaa] n'ụdị ọ bụla. Nye ya [ntinye] - ọ na-aghọtakwa naanị ya. Ka ị na-eji ya eme ihe karị, otú ahụ ka ọ na-aka mma. Hazie [ntọala] ya. [ntọala] ya. [ntọala] ya. [mpụta] ọ bụla - kpọmkwem dịka i sere ya. [Aha]. Pụọ ugbu a."
Jiri akara mmetụta uche dị obere: [nwayọọ] n'ahịrị dị jụụ na [obi ụtọ] n'ahịrị [Vab]. Etinyela akara mmalite ahụ, ma mechie ya na nkwụsị zuru oke.
</script>

Jiri igodo m kpọọ ElevenLabs API ozugbo, na-enweghị MCP. Mepụta edemede zuru oke anọ na-ewe otu ngafe ma hapụ m ka m họrọ. Ọ bụrụ na ahịrị adịghị mma, megharịa ahịrị ahụ ugboro anọ wee kewaa ụdị kachasị mma na nke m.
Mee ka nkwụsịtụ dị mkpụmkpụ karịa 0.28s ruo 0.2s, wee mee ka ahịrịokwu ọ bụla ruo 85% nke ụzọ gaa n'ọkwa etiti, na-agbanwe uru naanị n'oge nkwụsịtụ.
Maka oge okwu, kewaa agụmagụ ahụ na nkwụsịtụ nke 100ms ma ọ bụ karịa, detuo akụkụ ọ bụla iche iche na Whisper, ma hazie okwu mbụ ya na mmalite a tụrụ. Otu ngafe Whisper nwere ike itinye okwu ruo ọkara sekọnd n'azụ.

Ihe nkiri mmalite nke sekọnd iri abụọ na abụọ, nke nwere ike ịdị 1440x1440 na 60fps, n'ụdị mmalite ụlọ nyocha AI: ákwà ọcha, otu mkpụrụedemede, ink ojii, ezigbo onyonyo, na nkọwa okwu e ji okwu dee kpọmkwem n'oge a na-ekwu ha.
Njikwa ọ bụla (ogwe aka dị mkpa, ogwe ntọala, mkpụrụ okwu) na-eji iko mmiri mmiri: mee ka ihe nkiri dị n'azụ ya maa jijiji, gbagọọ ihe nkiri ahụ n'akụkụ dị ka iko dị arọ, wee tinye ihe na-egbuke egbuke n'elu, rim na-egbuke egbuke na onyinyo dị nro. Iko ahụ na-apụ n'anya na ọcha nkịtị, yabụ tinye obere pastel aura na agba akara m ma ọ bụ sachaa foto ahụ n'azụ ya.
Nke ahụ mesiri ụdị okwu ike n'ụdị agba nke akara m, yana obere ìhè n'azụ ya.
Iwu mmegharị ahụ: mee ka igwefoto na-agagharị (pịa site na 1.0 ruo 1.04 kwa ihe nkiri; mgbe ọdịnaya na-aga na ihe nkiri na-esote, malite na mbugharị ebe ihe nkiri gara aga kwụsịrị). Ọ dịghị ihe na-apụta ozugbo: jiri mbelata dị mfe nke opekata mpe 0.3s. Gbanwee onyonyo na ndetu nke 16, na pịa maka nke ọ bụla. Mgbanwe ọnọdụ ala na ahịrịokwu na-amalite, ma hazie ụda egwu ahụ na ahịrị [Varb]. Egosila nkwụsị zuru oke na ihuenyo.
Amachibidoro: ihe ndị pụtara ìhè na nhọrọ, ihe osise ndị a kụrụ aka, ihe osise ọcha, ihe osise 3D, ndebiri.

Ihe nkiri asaa, nke e kwuru n'olu:

1. "Nke a bụ [aha]": nchịkọta nke onyonyo m na-apụta ka aha na-apụta n'ọtụtụ ebe, wee nye ohere maka ahịrị nkewa.
2. "emere maka [uru]": ihe onyonyo m kacha mma na-enwu na ihuenyo zuru oke na ndetu nke iri na isii ka ọ na-ada, ebe ahịrị ahụ na-acha ọcha n'elu ha.
3. Mbelata: ogwe ihe ngosi iko na-ede obere ihe ngosi. Kaadị nsonaazụ na-agbanwe ụdị ya kwa ndetu nke iri na isii, ebe ibe ojii na-atụgharị gaa na aha ọhụrụ ọ bụla n'elu mpempe akwụkwọ nta.
4. "Gosi ya ihe ngosi": Foto 9 na-efega n'ime grid 3x3, wee gbaa gburugburu ihe si na ya pụta ka "Ọ na-eme ka ị dị mma" na ihuenyo.
5. "Ka ị na-eji ya eme ihe, otú ahụ ka ọ na-adị mma": pịnye ahịrị abụọ, jiri okwu a na-emesi ike na gradient.
6. Ntọala ndị a: gosi otu iko panel nwere ihe ndọda atọ, nke ọ bụla na-agagharị dịka ọ na-akpọ ya aha. Gbanwee agba nke onyinyo ahụ, tụgharịa mkpụrụ ọhụrụ na 16th, wee gbanwee ya ka ọ bụrụ ihe ngosi. Gbanwee agba ya nke ọma n'azụ iko ahụ ka ọ na-adakọ.
7. "[Ihe niile], kpọmkwem otu ị si ahụ ya": gbawara foto m 120 site n'etiti n'azụ mkpụrụ okwu iko, wee jikọta ha ọnụ na akara ngosi m ka aha ahụ na-ede. Tinye "Pụọ ugbu a" n'okpuru wee jide ya maka nkeji abụọ.

Jiri ntinye, ihe mpụta na ntọala nke ngwaahịa m dochie ogwe ihe ngosi, nsonaazụ na ihe mmịfe ahụ.

Hazie egwu ahụ ka ihe ndọda ahụ daa n'ahịrị [Verb], wee tinye usoro ịkụ egwu ahụ n'ebe ahụ.
Tinye egwu ahụ n'okpuru olu site na iji ihe eji emechi egwu nke nwere eriri atọ (ala dị 30%, etiti 85%, ikuku 55%; ijide 0.3s, nlele 50ms, ntọhapụ 0.5s). Mgbe ahụ, gbanwee etiti nke ahịrịokwu ọ bụla ruo mgbe olu ahụ dị ihe dị ka 9 dB n'elu egwu ahụ n'etiti 300 Hz na 4 kHz.
Jiri otu Mixkit SFX ebudatara maka ihe omume ọ bụla, nke e tinyere n'ọnọdụ ya dịka oke ya si dị: pịa maka mgbanwe onyonyo ọ bụla, ụda dị mkpa maka mkpụrụedemede ọ bụla e dere ede, ụda dị nro na okwu a mesiri ike, whooshes, na mmetụta na mkpọda na akara ngosi. Belata nke ọ bụla gburugburu oke ya (ọtụtụ ihe na-ebilite bụ sekọnd 4). Gbajie egwu ahụ n'akụkụ usoro dB n'okpuru kaadị njedebe. Kpọọ ụda ruo -14 LUFS.

1. Otu kanvas HTML. Frame ọ bụla bụ ọrụ dị ọcha nke oge n'ime search(t), na ihe odide na ịkpụ ọ bụla na-esochi tebụl okwu.
2. Iko: jide ákwà dị n'azụ ọdịdị ahụ, kpughee ya ihe dị ka 14px maka ahụ, see otu ihe na-acha uhie uhie nke buru ibu nke dị ihe dị ka 1.06x na eriri 12px n'akụkụ ọnụ ya, wee tinye mmiri ara ehi, ihe na-egbuke egbuke, rim na onyinyo.
3. Jiri obere ihe ngosi 8 nke motion-blur mee ihe na Playwright na 60fps, wee jiri ffmpeg dee ya.
4. Tupu i gosi m ihe ọ bụla, mee mpempe akwụkwọ kọntaktị nke foto, lelee ọdịiche dị n'etiti fremu maka pop-fire otu (naanị ọsọ nke 16th-note nwere ike ịwụli elu), ma lelee oke olu-na-egwu maka ahịrịokwu ọ bụla.

Ihe mmeghe [na-ekpo ọkụ] nwere ike ịda ụda n'olu dara ụda, ebe [obi ụtọ] nwere ike ịdị ka adịgboroja. Igbe pụtara ìhè n'azụ okwu dị ka nhọrọ ederede Windows. Ọ bụrụ na igwefoto amalitegharịa gaa na 1.0 n'oge a na-enyefe ya, mbugharị ahụ na-akwụsị. Mkpọchi 0.05s na-adị ka mpụta ozugbo.

Jụọ m maka ntinye, dee edemede ahụ, zitere m olu anọ ịhọrọ site na ya, wee gosi m foto asatọ tupu eserese ahụ zuru ezu.

Ask me for: my product name, a one-line pitch, my logo, 3 to 6 screenshots of the product, 40+ images of what it creates (or photos of it), my brand colors and font, an ElevenLabs API key and voice ID, plus a royalty-free track with a clear drop (the audio file and the drop timestamp). If I skip anything, use these defaults: "Ora 2", "an image model made for taste", free images from Unsplash and Pixabay, Geist, ink #111214, the voice Samara X (19STyYD15bswVz51nqLf) on eleven_v4, and Pixabay "Cascade Breathe" (129.83 BPM, drop at 75.39s).

<script>
Write a 9-line voiceover in this format and adapt every line to my product:
"This is [name]. A [category]... built for [value]. [Verb] in ANY style. Give it a [input] - and it just... understands. The more you use it, the BETTER it gets. Adjust its [setting]. Its [setting]. Its [setting]. Every [output] - exactly as you pictured it. [Name]. Out now."
Use emotion tags sparingly: [softly] on the quiet lines and [excited] on the [Verb] line. Don't tag the opener, and end it with a plain full stop.
</script>

Call the ElevenLabs API directly using my key, without an MCP. Generate 4 full-script takes in one pass and let me choose. If a line doesn't sound right, regenerate just that line 4 times and splice the best version into my take.
Shorten pauses longer than 0.28s to 0.2s, then bring each phrase 85% of the way toward the median level, adjusting gain only during pauses.
For word timings, split the read at pauses of 100ms or longer, transcribe each segment separately with Whisper, and align its first word to the measured onset. A single Whisper pass can place words up to half a second late.

A 22-second square launch film, 1440x1440 at 60fps, in the style of an AI lab launch: white canvas, one typeface, black ink, real images, and captions typed word by word at the exact time they're spoken.
Every control (prompt bar, settings panel, caption pill) uses liquid glass: frost the scene behind it, bend that scene along the edge like thick glass, then add a top sheen, bright rim and soft lift shadow. Glass disappears on plain white, so add a slow pastel aura in my brand colors or a blurred wash of the photo behind it.
The one emphasized word types in a gradient of my brand colors, with a faint glow behind it.
Motion rules: keep the camera drifting (push from 1.0 to 1.04 per scene; when content moves to the next scene, start at the zoom where the previous scene ended). Nothing appears instantly: use eased fades of at least 0.3s. Change images on 16th notes, with a click for each. Land scene changes on phrase starts, and align the music drop with the [Verb] line. Don't show full stops on screen.
Banned: selection-box highlights, beat-snapped slams, white flashes, 3D, templates.

Seven scenes, timed to the voice:

1. "This is [name]": a collage of my images drifts out as the name types in large, then gives way to the category line.
2. "made for [value]": full-screen flashes of my best images switch on 16th notes into the drop, with the line typed in white over them.
3. The drop: a glass prompt bar types a short prompt. The result card changes style every 16th note, while a black style chip rolls to each new name above a thumbnail strip.
4. "Show it a moodboard": 9 images fly into a 3x3 grid, then circle the result as "It gets you" types on screen.
5. "The more you use it, the better it gets": type two lines, with the emphasized word in the gradient.
6. The settings: show a glass panel with 3 sliders, each moving as she names it. Shift the image's hue, roll new seeds on 16ths, then turn it into a poster. Shift a blurred wash of its colors behind the glass in sync.
7. "Every [output], exactly how you see it": burst 120 of my images outward from the center behind a glass caption pill, then bring them together into my logo as the name types on. Put "Out now" underneath and hold for 2s.

Replace the prompt bar, results and sliders with my product's real input, outputs and settings.

Set the song so the drop lands on the [Verb] line, and anchor the beat grid there.
Duck the music under the voice with a 3-band sidechain (lows 30%, mids 85%, air 55%; 0.3s hold, 50ms look-ahead, 0.5s release). Then adjust the mids of each phrase until the voice sits about 9 dB above the music between 300 Hz and 4 kHz.
Use one downloaded Mixkit SFX per event, positioned by its measured peak: a click for each image change, a key sound for every typed letter, a soft landing on the emphasized word, whooshes, and impacts on the drop and logo. Trim each around its peak (many risers are 4 seconds). Fade the music along a dB curve under the end card. Loudnorm to -14 LUFS.

1. One HTML canvas. Every frame is a pure function of time inside seek(t), and every caption and cut follows the word table.
2. Glass: capture the canvas behind the shape, blur it about 14px for the body, draw a lightly blurred copy magnified about 1.06x in a 12px band along the edge, then add the milk, sheen, rim and shadow.
3. Render with Playwright at 60fps using 8 motion-blur subframes, then encode with ffmpeg.
4. Before showing me anything, make a contact sheet of stills, scan frame differences for single-frame pops (only the 16th-note runs may jump), and check the voice-to-music ratio for every phrase.

A [warmly] opener can sound whispered, while [excited] can feel fake. A highlight box behind a word looks like a Windows text selection. If the camera resets to 1.0 during a handoff, the zoom snaps. A 0.05s fade looks like an instant pop-in.

Ask me for the inputs, write the script, send me 4 voice takes to choose from, then show me 8 stills before the full render.

E si na ya nweta ndụmọdụ ahụ ozi @rossaxbt.