Companies are realizing they're burning way too much money on AI now.
- 24k
- views
- 1.5k
- baseline
- 0.9×
- engagement
- 904
- likes
- 89
- saves
- 31
- shares
Why it beat the baseline
hook · transcript“Companies are realizing they're burning way too much money on AI now.”
talking-headrelatable pain
- States bold industry shift: companies burning too much money on AI tokens
- Presents conference attendee credential proof and reveals the shift to 'token-maxxing'
- Lists 3 startup categories solving token efficiency (dashboards, ROI metrics, model routers)
Why it worked. Taps into enterprise AI cost fatigue with relatable industry insider observations backed by conference footage.
Grounded in the actual video and audio; analyzed by gemini-3.8-flash, cached.
Video analysis
Every shot, the spoken script, on-screen text, audio, editing and a recreation blueprint, from the actual video and audio.
Structure · 41s
- 00:00.0–00:04.2Problem Hook. Call out rising AI compute expenses
- 00:04.3–00:12.7Context & Proof. Establish conference credibility and introduce 'token-maxxing'
- 00:13.0–00:28.6Category Breakdown. Detail dashboard tracking and ROI metrics startups
- 00:28.8–00:40.5Routing Solution. Explain dynamic model selection for cost reduction
Shot list
| # | time | shot | what is visible | spoken | on screen |
|---|---|---|---|---|---|
| 1 | 00:00.0–00:05.6 | medium close-up Front-facing smartphone camera; Static handheld | Speaker seated indoors talking directly to camera | Companies are realizing they're burning way too much money on AI now. I went to the AI conference this year | Companies token-maxxing at AI conference · Companies · they're · way · on · went · conference |
| 2 | 00:05.6–00:08.8 | medium close-up Smartphone camera; Static | Photo of speaker holding up 'The AI Conference' press pass badge Screen: Photo overlay showing conference press badge | and comparing to last year, most of the companies | year · to · The AI Conference San Francisco 2024 · Lan Li Founder HeyEmmett.com PRESS |
| 3 | 00:08.8–00:25.7 | medium close-up Front-facing smartphone camera; Static handheld | Speaker explaining market shift and startup categories | are shifting from AI adoption to token maxxing. At least a quarter of the startups there were either building a dashboard to monitor all of the token use from across different platforms like Claude and Codex, or startups are calculating the ROI of token use. | companies · adoption · least · there · dashboard · all · across · cloud · calculating · use |
| 4 | 00:25.7–00:28.8 | wide shot Rear smartphone camera; Static | Speaker on stage beside large slide titled 'Look at task-specific benchmarks' Screen: Presentation slide with benchmarks graph | So tokens used per feature built. | tokens · built · Look at task-specific benchmarks |
| 5 | 00:28.8–00:40.5 | medium close-up Front-facing smartphone camera; Static handheld | Speaker summarizing dynamic model routing | There are other startups doing model selection for you so they can switch to different models depending on your task so it can switch to a less expensive model when your task is not complicated. | startup · for · different · task · expensive · complicated |
Script
- 00:00.0–00:04.2“Companies are realizing they're burning way too much money on AI now.” · Assertive, conversational
- 00:04.3–00:12.7“I went to the AI conference this year and comparing to last year, most of the companies are shifting from AI adoption to token-maxxing.” · Reflective, observant
- 00:13.0–00:22.4“At least a quarter of the startups there were either building a dashboard to monitor all of the token use from across different platforms like Claude and Codex,” · Descriptive, informative
- 00:22.5–00:28.6“or startups are calculating the ROI of token use. So tokens used per feature built.” · Analytical breakdown
- 00:28.8–00:35.3“There are other startups doing model selection for you, so they can switch to different models depending on your task,” · Clear explanatory
- 00:35.4–00:40.5“so it can switch to a less expensive model when your task is not complicated.” · Decisive conclusion
On-screen text
- 00:00.0–00:03.9“Companies token-maxxing at AI conference” · hook · Top third center · Black sans-serif text inside white rounded badge
- 00:05.6–00:08.8“The AI Conference San Francisco 2024 / Lan Li Founder” · embedded · Center · Printed conference badge lanyard
- 00:25.7–00:28.8“Look at task-specific benchmarks” · embedded · Center stage screen · Conference presentation slide title
Recreation blueprint
Founder breaks down a tech industry trend seen at a conference with badge proof and stage B-roll.
| slot | s | visual | voiceover | overlay |
|---|---|---|---|---|
| Hook Statement | 5.6 | Talking head stating an industry cost issue with top text sticker | Bold assertion on industry spending or waste | [Trend name] at [Industry event] |
| Proof B-Roll | 3.2 | Cut to photo holding event badge | Personal presence and year-over-year comparison | None |
| Market Shift & Types | 16.9 | Talking head breaking down startup categories | Listing specific product types tackling the issue | Dynamic subtitles |
| Event Stage B-Roll | 3.1 | View of speaker presenting relevant slides on stage | Concrete metric or formula example | Dynamic subtitles |
| Final Solution Breakdown | 11.7 | Talking head explaining practical implementation | How intelligent routing or cost reduction works | Dynamic subtitles |
Keep
- Conference credential b-roll for authority
- Direct problem-led opening hook
- Categorical breakdown of emerging solutions
Can change
- Niche topic (e.g. cloud hosting costs, ad spend)
- B-roll environment and event type
Generation prompts per shot (5)
- Shot 1. Vertical framing, young founder talking to smartphone camera indoors, casual attire, soft natural lamp lighting, clean modern studio aesthetic.
Negative: Over-processed, high contrast studio flash, chaotic background. - Shot 2. Smartphone selfie holding up physical conference pass badge showing attendee name and press tag, industrial ceiling background.
Negative: Blurry text, artificial 3d render, distorted hands. - Shot 3. Vertical eye-level shot, tech creator speaking calmly into camera, subtle explanatory hand gestures, warm room background.
Negative: Jerky camera, oversaturated colors, dramatic expressions. - Shot 4. Audience POV looking up at tech conference presentation stage with giant screen displaying data graphs, seated attendees in foreground.
Negative: Empty room, blurry screen, cartoon style. - Shot 5. Vertical close-up of tech founder explaining software logic to camera, neutral relaxed demeanor, indoor cozy background.
Negative: Distorted face, harsh backlighting, noisy video.
Raw JSON (for a video pipeline)
{
"hook": {
"spoken": "Companies are realizing they're burning way too much money on AI now.",
"ends_at": "00:04.2",
"on_screen": "Companies token-maxxing at AI conference",
"starts_at": "00:00.0",
"technique": "bold_claim",
"technique_note": "Identifies immediate financial waste in trending tech sector",
"why_it_stops_the_scroll": "Appeals to developers and founders worried about high LLM token costs."
},
"tags": {
"topics": [
"artificial intelligence",
"startups",
"token optimization",
"tech conference"
],
"cta_type": "none",
"language": "en",
"has_music": false,
"has_speech": true,
"content_type": "talking_head_advice",
"products_or_apps": [
"Claude",
"Codex"
],
"has_burned_captions": true
},
"audio": {
"music": "None",
"voice": "Single female speaker, natural room acoustic, unamplified mic",
"ambient": "Slight conference audience room hum during cutaways",
"mix_notes": "Clean direct voice-over dialogue",
"sound_effects": "None"
},
"shots": [
{
"end": "00:05.6",
"index": 1,
"start": "00:00.0",
"camera": "Front-facing smartphone camera",
"framing": "Eye-level chest up",
"movement": "Static handheld",
"shot_type": "medium close-up",
"transition_in": "Cut",
"screen_content": "None",
"subject_action": "Speaking and gesturing slightly",
"what_is_visible": "Speaker seated indoors talking directly to camera",
"duration_seconds": 5.6,
"spoken_during_shot": "Companies are realizing they're burning way too much money on AI now. I went to the AI conference this year",
"on_screen_text_during_shot": [
"Companies token-maxxing at AI conference",
"Companies",
"they're",
"way",
"on",
"went",
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],
"facial_expression_or_gesture": "Serious, direct gaze"
},
{
"end": "00:08.8",
"index": 2,
"start": "00:05.6",
"camera": "Smartphone camera",
"framing": "Vertical photo inset held up to camera",
"movement": "Static",
"shot_type": "medium close-up",
"transition_in": "Hard cut",
"screen_content": "Photo overlay showing conference press badge",
"subject_action": "Holding attendee badge towards lens",
"what_is_visible": "Photo of speaker holding up 'The AI Conference' press pass badge",
"duration_seconds": 3.2,
"spoken_during_shot": "and comparing to last year, most of the companies",
"on_screen_text_during_shot": [
"year",
"to",
"The AI Conference San Francisco 2024",
"Lan Li Founder HeyEmmett.com PRESS"
],
"facial_expression_or_gesture": "Neutral selfie face"
},
{
"end": "00:25.7",
"index": 3,
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"camera": "Front-facing smartphone camera",
"framing": "Eye-level chest up",
"movement": "Static handheld",
"shot_type": "medium close-up",
"transition_in": "Hard cut",
"screen_content": "None",
"subject_action": "Talking and hand gesturing",
"what_is_visible": "Speaker explaining market shift and startup categories",
"duration_seconds": 16.9,
"spoken_during_shot": "are shifting from AI adoption to token maxxing. At least a quarter of the startups there were either building a dashboard to monitor all of the token use from across different platforms like Claude and Codex, or startups are calculating the ROI of token use.",
"on_screen_text_during_shot": [
"companies",
"adoption",
"least",
"there",
"dashboard",
"all",
"across",
"cloud",
"calculating",
"use"
],
"facial_expression_or_gesture": "Explaining with subtle head nods"
},
{
"end": "00:28.8",
"index": 4,
"start": "00:25.7",
"camera": "Rear smartphone camera",
"framing": "Audience POV looking towards conference stage and presentation screen",
"movement": "Static",
"shot_type": "wide shot",
"transition_in": "Hard cut",
"screen_content": "Presentation slide with benchmarks graph",
"subject_action": "Stage presenter talking beside slides",
"what_is_visible": "Speaker on stage beside large slide titled 'Look at task-specific benchmarks'",
"duration_seconds": 3.1,
"spoken_during_shot": "So tokens used per feature built.",
"on_screen_text_during_shot": [
"tokens",
"built",
"Look at task-specific benchmarks"
],
"facial_expression_or_gesture": "N/A"
},
{
"end": "00:40.5",
"index": 5,
"start": "00:28.8",
"camera": "Front-facing smartphone camera",
"framing": "Eye-level chest up",
"movement": "Static handheld",
"shot_type": "medium close-up",
"transition_in": "Hard cut",
"screen_content": "None",
"subject_action": "Talking and gesturing",
"what_is_visible": "Speaker summarizing dynamic model routing",
"duration_seconds": 11.7,
"spoken_during_shot": "There are other startups doing model selection for you so they can switch to different models depending on your task so it can switch to a less expensive model when your task is not complicated.",
"on_screen_text_during_shot": [
"startup",
"for",
"different",
"task",
"expensive",
"complicated"
],
"facial_expression_or_gesture": "Engaged and concluding"
}
],
"video": {
"pacing": "Moderate, conversational tempo",
"setting": "Home studio/office with guitar and floor lamp",
"subject": "Asian creator with long dark hair and glasses speaking to camera",
"lighting": "Warm indoor ambient lighting from side lamp",
"color_grade": "Natural warm indoor tones",
"orientation": "vertical",
"aspect_ratio": "9:16",
"overall_format": "talking-head with b-roll cutaways",
"tone_and_energy": "Analytical, grounded, insider tech report",
"duration_seconds": 40.5,
"wardrobe_and_look": "Charcoal graphic t-shirt, round wireframe glasses, natural appearance"
},
"script": [
{
"end": "00:04.2",
"line": "Companies are realizing they're burning way too much money on AI now.",
"start": "00:00.0",
"delivery": "Assertive, conversational",
"uncertain": false
},
{
"end": "00:12.7",
"line": "I went to the AI conference this year and comparing to last year, most of the companies are shifting from AI adoption to token-maxxing.",
"start": "00:04.3",
"delivery": "Reflective, observant",
"uncertain": false
},
{
"end": "00:22.4",
"line": "At least a quarter of the startups there were either building a dashboard to monitor all of the token use from across different platforms like Claude and Codex,",
"start": "00:13.0",
"delivery": "Descriptive, informative",
"uncertain": false
},
{
"end": "00:28.6",
"line": "or startups are calculating the ROI of token use. So tokens used per feature built.",
"start": "00:22.5",
"delivery": "Analytical breakdown",
"uncertain": false
},
{
"end": "00:35.3",
"line": "There are other startups doing model selection for you, so they can switch to different models depending on your task,",
"start": "00:28.8",
"delivery": "Clear explanatory",
"uncertain": false
},
{
"end": "00:40.5",
"line": "so it can switch to a less expensive model when your task is not complicated.",
"start": "00:35.4",
"delivery": "Decisive conclusion",
"uncertain": false
}
],
"editing": {
"cut_count": 4,
"transitions": "Direct jump cuts",
"caption_style": "Minimal single-word white centered subtitles",
"end_card_or_cta": "None",
"average_shot_seconds": 8.1,
"effects_and_overlays": "Static title pill overlay at start"
},
"teardown": {
"hook": "Companies are realizing they're burning way too much money on AI now.",
"format": "talking-head",
"mechanism": "relatable_pain",
"structure": [
"States bold industry shift: companies burning too much money on AI tokens",
"Presents conference attendee credential proof and reveals the shift to 'token-maxxing'",
"Lists 3 startup categories solving token efficiency (dashboards, ROI metrics, model routers)"
],
"hook_source": "transcript",
"why_it_worked": "Taps into enterprise AI cost fatigue with relatable industry insider observations backed by conference footage."
},
"on_screen_text": [
{
"end": "00:03.9",
"kind": "hook",
"text": "Companies token-maxxing at AI conference",
"start": "00:00.0",
"style": "Black sans-serif text inside white rounded badge",
"source": "creator",
"position": "Top third center"
},
{
"end": "00:08.8",
"kind": "embedded",
"text": "The AI Conference San Francisco 2024 / Lan Li Founder",
"start": "00:05.6",
"style": "Printed conference badge lanyard",
"source": "creator",
"position": "Center"
},
{
"end": "00:28.8",
"kind": "embedded",
"text": "Look at task-specific benchmarks",
"start": "00:25.7",
"style": "Conference presentation slide title",
"source": "creator",
"position": "Center stage screen"
}
],
"structure_beats": [
{
"end": "00:04.2",
"beat": "Problem Hook",
"start": "00:00.0",
"purpose": "Call out rising AI compute expenses"
},
{
"end": "00:12.7",
"beat": "Context & Proof",
"start": "00:04.3",
"purpose": "Establish conference credibility and introduce 'token-maxxing'"
},
{
"end": "00:28.6",
"beat": "Category Breakdown",
"start": "00:13.0",
"purpose": "Detail dashboard tracking and ROI metrics startups"
},
{
"end": "00:40.5",
"beat": "Routing Solution",
"start": "00:28.8",
"purpose": "Explain dynamic model selection for cost reduction"
}
],
"recreation_blueprint": {
"shot_template": [
{
"slot": "Hook Statement",
"visual": "Talking head stating an industry cost issue with top text sticker",
"seconds": 5.6,
"voiceover": "Bold assertion on industry spending or waste",
"text_overlay": "[Trend name] at [Industry event]"
},
{
"slot": "Proof B-Roll",
"visual": "Cut to photo holding event badge",
"seconds": 3.2,
"voiceover": "Personal presence and year-over-year comparison",
"text_overlay": "None"
},
{
"slot": "Market Shift & Types",
"visual": "Talking head breaking down startup categories",
"seconds": 16.9,
"voiceover": "Listing specific product types tackling the issue",
"text_overlay": "Dynamic subtitles"
},
{
"slot": "Event Stage B-Roll",
"visual": "View of speaker presenting relevant slides on stage",
"seconds": 3.1,
"voiceover": "Concrete metric or formula example",
"text_overlay": "Dynamic subtitles"
},
{
"slot": "Final Solution Breakdown",
"visual": "Talking head explaining practical implementation",
"seconds": 11.7,
"voiceover": "How intelligent routing or cost reduction works",
"text_overlay": "Dynamic subtitles"
}
],
"what_can_change": [
"Niche topic (e.g. cloud hosting costs, ad spend)",
"B-roll environment and event type"
],
"template_summary": "Founder breaks down a tech industry trend seen at a conference with badge proof and stage B-roll.",
"what_must_be_kept": [
"Conference credential b-roll for authority",
"Direct problem-led opening hook",
"Categorical breakdown of emerging solutions"
],
"generation_prompts": [
{
"prompt": "Vertical framing, young founder talking to smartphone camera indoors, casual attire, soft natural lamp lighting, clean modern studio aesthetic.",
"shot_index": 1,
"negative_prompt": "Over-processed, high contrast studio flash, chaotic background."
},
{
"prompt": "Smartphone selfie holding up physical conference pass badge showing attendee name and press tag, industrial ceiling background.",
"shot_index": 2,
"negative_prompt": "Blurry text, artificial 3d render, distorted hands."
},
{
"prompt": "Vertical eye-level shot, tech creator speaking calmly into camera, subtle explanatory hand gestures, warm room background.",
"shot_index": 3,
"negative_prompt": "Jerky camera, oversaturated colors, dramatic expressions."
},
{
"prompt": "Audience POV looking up at tech conference presentation stage with giant screen displaying data graphs, seated attendees in foreground.",
"shot_index": 4,
"negative_prompt": "Empty room, blurry screen, cartoon style."
},
{
"prompt": "Vertical close-up of tech founder explaining software logic to camera, neutral relaxed demeanor, indoor cozy background.",
"shot_index": 5,
"negative_prompt": "Distorted face, harsh backlighting, noisy video."
}
]
},
"props_apps_and_products": [
{
"name": "The AI Conference 2024 Press Badge",
"how_used": "Held up as visual proof of attendance",
"first_seen": "00:05.6"
},
{
"name": "Claude / OpenAI Codex",
"how_used": "Referenced as LLM tooling platforms",
"first_seen": "00:21.0"
}
]
}model gemini-3.8-flash · analyzed from the actual video and audio · 2026-10-21 · timestamps are estimates
Caption
AI startups are building token-maxxing solutions #aistartup #tokenmaxxing #aiagents #aiconference
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