Film and television production involves an enormous volume of creative and logistical documentation: scripts, story treatments, production schedules, location research, crew communications, post-production notes, and distribution strategies. Chinese LLMs like DeepSeek V4, GLM-4, and Qwen3 can accelerate these workflows by generating concepts, structuring narratives, analyzing scripts, and managing production logistics, all at a fraction of the cost of Western AI APIs. TokenEase's unified API gives production companies access to these powerful models.
Generate story outlines, analyze three-act structure, and develop character arcs from initial concepts.
import requests
def develop_script(concept, genre, target_runtime, audience):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "deepseek-v4",
"messages": [
{"role": "system", "content": "You are a professional screenwriter. Develop compelling stories with strong structure, memorable characters, and emotional arcs. Follow industry-standard screenplay format."},
{"role": "user", "content": f"Concept: {concept}\nGenre: {genre}\nRuntime: {target_runtime}\nAudience: {audience}\n\nDevelop story outline with character arcs and key scenes."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
concept = "A forensic accountant discovers her deceased father's secret life as a Cold War spy"
genre = "Thriller with family drama elements"
runtime = "120 minutes"
audience = "Adults 25-54, international streaming audience"
outline = develop_script(concept, genre, runtime, audience)
Transform shooting requirements, location constraints, and cast availability into optimized production schedules.
def create_production_schedule(scenes, locations, cast_availability, budget_constraints):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "qwen3-235b",
"messages": [
{"role": "system", "content": "Create efficient film production schedules. Minimize company moves, respect cast availability windows, and optimize for budget constraints. Include call times and unit requirements."},
{"role": "user", "content": f"Budget: {budget_constraints}\nCast: {cast_availability}\nLocations: {locations}\nScenes:\n{scenes}\n\nCreate shooting schedule."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
scenes = """
Scene 1: Office interior, Lead + 2 supporting, dialogue-heavy, 4 pages
Scene 2: Rooftop exterior, Lead + Stunt double, action sequence, 2 pages
Scene 3: Restaurant interior, 8 extras, Lead + Antagonist confrontation, 3 pages
Scene 4: Park exterior, Lead + Child actor, emotional scene, 2 pages
"""
locations = "Studio A (office set), Building X rooftop (permits: weekends only), Restaurant Y (available Mon-Wed), City Park (no permit required)"
cast = "Lead: available all days. Antagonist: Mon-Wed only. Child actor: max 6 hrs/day, needs tutor on set."
budget = "45-day shoot. Max 6-day weeks. Overtime triggers after 12 hours."
schedule = create_production_schedule(scenes, locations, cast, budget)
Generate comprehensive location research reports including logistics, permits, weather patterns, and cost estimates.
def research_location(location_description, production_requirements, shooting_dates):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "glm-4-plus",
"messages": [
{"role": "system", "content": "Research film locations comprehensively. Include permit requirements, local crew availability, equipment rental, accommodation, weather considerations, and potential challenges."},
{"role": "user", "content": f"Dates: {shooting_dates}\nRequirements: {production_requirements}\nLocation: {location_description}\n\nGenerate location research report."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
loc = "Marrakech, Morocco - need bustling medina scenes, desert landscapes, and modern city backdrops"
reqs = "Cast of 12, crew of 35, 4 weeks shooting, need Arabic-speaking extras, action sequences requiring permits"
dates = "March 15 - April 12, 2027"
research = research_location(loc, reqs, dates)
Generate detailed scene descriptions, dialogue transcripts, and metadata tags for editing and distribution.
def generate_post_logs(raw_footage_description, script_pages, director_notes):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "kimi-k2",
"messages": [
{"role": "system", "content": "Generate post-production logs with scene descriptions, take quality assessments, and metadata for editors. Include continuity notes and preferred takes."},
{"role": "user", "content": f"Director notes: {director_notes}\nScript: {script_pages}\nFootage: {raw_footage_description}\n\nGenerate post logs."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
footage = """
Scene 5 (Office confrontation): 8 takes. Takes 1-3: camera drift. Take 4: lead fluffed line. Takes 5-6: usable.
Take 7: best performance but boom in shot. Take 8: good performance, clean frame.
Scene 6 (Car chase): 12 takes. Takes 1-5: safety issues. Take 6: best action. Takes 7-8: coverage angles.
Takes 9-12: insert shots and POV.
"""
script = "Scene 5: 3 pages, dramatic confrontation. Scene 6: 2 pages, action sequence with stunt driver."
notes = "Director wants raw intensity in Scene 5. Scene 6 prioritize safety and clean stunt execution."
logs = generate_post_logs(footage, script, notes)
Analyze audience data and market trends to recommend distribution strategies and generate platform-specific marketing materials.
def develop_distribution_strategy(content_profile, market_data, platform_options):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "deepseek-v4",
"messages": [
{"role": "system", "content": "Develop film and TV distribution strategies. Analyze market data, recommend platform mix, and generate marketing copy tailored to each distribution channel."},
{"role": "user", "content": f"Platforms: {platform_options}\nMarket: {market_data}\nContent: {content_profile}\n\nRecommend strategy and generate copy."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
content = "Sci-fi thriller, $12M budget, 105 min, PG-13, strong international appeal (Asian markets)"
market = "Streaming dominates 68% of viewing. Theatrical recovering in premium formats. Asian markets growing 15% YoY."
platforms = "Netflix, Amazon Prime, theatrical (limited), Apple TV+, regional streamers (iQIYI, Viu)"
strategy = develop_distribution_strategy(content, market, platforms)
Adapt scripts for international markets with culturally appropriate localization for subtitles and dubbing.
def adapt_for_market(original_script, target_market, adaptation_type):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "qwen3-235b",
"messages": [
{"role": "system", "content": f"Adapt film/TV scripts for {target_market}. Ensure cultural appropriateness, lip-sync compatibility for dubbing, and reading-speed optimization for subtitles."},
{"role": "user", "content": f"Type: {adaptation_type}\nMarket: {target_market}\nScript:\n{original_script}\n\nGenerate adapted version."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
script = """
JACK: (on phone) I need that package delivered by Friday. No excuses.
SARAH: Friday? That's impossible. The customs clearance alone takes a week.
JACK: Then make it possible. Call in favors. I don't care how.
"""
adapted = adapt_for_market(script, "Japan", "subtitles with cultural notes")
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