You have AI tools. Now build production capacity.
Connect scattered AI tasks into workflows you can queue, review and track. Help your team spend less time moving files and more time on content quality and delivery.
See the videos, then the production records.
These anonymized records cover specific project phases: scheduling, publishing and asset accumulation. Their periods and units differ, so they cannot be combined into a fixed-capacity claim.
Workflow video samples
4 short videos from overseas projects, around 15 seconds each. Play them to see the visuals, voiceover and captions as delivered.
The demos retain their original audio and embedded captions. Titles and descriptions below are localized.
Overseas project 01: Product-in-context short videoOverseas project 02: Product-detail short videoOverseas project 03: Presenter-led short videoOverseas project 04: Product showcase short videoProject A: Cross-border ecommerce content workflow
- 10–12 videos/day — Steady scheduling range
- 200–240 videos/month — Monthly production queue
Product information, scripts, generation tasks and human quality checks enter a daily production queue. These ranges describe plans and queue size, not guaranteed accepted output.
Project B: Overseas short-video workflow
- 57 videos — Final publications in one round
- 34 videos — Passed on first review
- 23 videos — Reworked and repaired
- 120 shots — New reusable shots
34 first-pass videos plus 23 reworked videos make up the 57 final publications in that round. The 120 shots are library assets, not additional published videos.
Public feedback example: 176 videos accumulated 46,307 public views.
This is a separate collection's cumulative view count. It is not added to the single-round publications or monthly queue above, and is not used to infer engagement, conversions or revenue. Engagement and conversion data are shown only with permission and an agreed definition.
The cases illustrate batch production, failure recovery, human quality review, reusable assets and feedback. They do not establish fixed capacity for every customer.
From one-off tool use to queued content delivery.
For short ecommerce videos, people focus on product judgment, creative direction and final quality checks. The system handles repeated handoffs and records task costs and outcomes.
One-off tool use
Copywriting
Prepare product selling points, copy them into a website or app, and download each generated result.
Creative planning
Break down scripts and storyboards one by one, passing versions through chats and spreadsheets.
Assets
Upload references, find shots, repeat generation and archive assets manually.
Post-production
Edit, voice, export and submit each item for review. Find the right files again whenever revisions are needed.
AI production workflow
- Product information
- Script
- Asset validation
- Image / video / TTS API
- Production queue
- Retry failed tasks
- Human quality review
- Publish and record results
Failures are handled within budgets and retry limits. After human quality approval, publishing runs only through authorized channels and records its outcome. Successful generation does not mean an output is accepted or published.
Measure accepted output, unit cost and labor hours.
Illustrative comparison · not a quote, measured result or performance promise
This example compares recurring monthly inputs for the same assumed video specifications and quality criteria. Real projects must test samples, acceptance rates and rework before recalculating costs and capacity.
Traditional team
4 roles: copywriting / creative planning / assets / post-production
- Accepted videos/month: 80
- Cost per accepted video: CNY 1,000
- Labor hours/video: 8
- Illustrative monthly cost: CNY 80,000
- Staff and management: CNY 72,000/month
- Software / assets / administration: CNY 8,000/month
AI workflow
Quality operations + model APIs + cloud resources + ongoing maintenance
- Accepted videos/month: 200
- Cost per accepted video: CNY 290
- Labor hours/video: 1.5
- Illustrative monthly cost: CNY 58,000
- Quality operations: CNY 25,000/month
- Model APIs: CNY 18,000/month
- Cloud resources: CNY 7,000/month
- Ongoing maintenance: CNY 8,000/month
2.5× — Illustrative accepted output (200 ÷ 80)
↓ 71% — Approx. reduction in unit cost (1 − 290 ÷ 1,000)
↓ 81% — Approx. reduction in labor time (1 − 1.5 ÷ 8)
One-off implementation fees are excluded from this monthly example and must be itemized and amortized in real estimates. Model costs must include failures and retries. Separate staff management from software administration to avoid double counting. Labor hours are cumulative team effort, not video-generation waiting time.
Real projects require retesting against their assets, quality, staffing and budget. The illustrative differences do not imply that customers will achieve the same results.
Book an efficiency review
Match the model to the task. Define the rules for every step.
Choose models by task, then connect them to existing systems. Account permissions, quality, latency and budget determine the combination.
Four types of model capability can be connected and routed within the customer's account permissions and confirmed entitlements.
Text and knowledge retrieval
LLM · Language and reasoning models
Knowledge retrieval can combine embeddings, reranking and retrieval-augmented generation (RAG).
Support document search, questions, request classification and summaries. Compare accuracy, citations and response times against real questions.
Images and visual understanding
VLM · Vision-language and multimodal models
Use VLMs to interpret images; select text-to-image or image-editing models separately for generation.
Choose capabilities for asset interpretation, information extraction and image tasks based on input formats, brand requirements and quality standards.
Video generation and processing
T2V / I2V · Video generation models
T2V means text-to-video; I2V means image-to-video.
Configure video tasks around scripts, storyboards, assets and output specifications. Keep human review and measure the cost per accepted output.
Speech and audio processing
ASR / TTS · Speech models
ASR transcribes speech into text; TTS synthesizes speech from text.
Check available interfaces, languages and permitted uses for recognition, transcription or voiceover, then connect them after confirming entitlements.
Technical access, resale rights and discount eligibility are confirmed separately for each platform. Unapproved interfaces stay disabled. Usage follows the customer's account permissions, confirmed entitlements and actual orders.
Reference architecture
Business entry points
Website, support, Feishu, DingTalk, CRM and internal systems
Receive questions, content tasks or leads, and return results to the systems the team already uses.
AI workflow
Agent orchestration, RAG, human review, model routing and task queues
Define steps and permissions, review gates, retry limits and human handoffs. Keep an activity record for each step.
Model connections and task routing
A selection of capabilities from Alibaba Cloud Model Studio, Kling AI, MiniMax and Volcengine Ark
Select models by task and account permissions. Record provider, version, usage and cost. Commercial entitlements follow the currently confirmed scope and formal orders.
Cloud operations and data
Customer accounts on Alibaba Cloud or Volcengine; compute, object storage, databases, networking, logs, monitoring and backups
Run workflows and store business state in the customer's authorized cloud environment. Cross-platform model calls require separate confirmation of data scope, regions and costs.
This is a reference architecture, with products selected as needed. The final combination depends on account access, regions, concurrency, data security and cost targets.
Platform capability matrix
Define tasks and quality criteria before assessing models. The matrix shows combinations prioritized for evaluation; actual connections depend on account permissions and sample results.
Model capability evaluation matrix| Production task | Alibaba Cloud Model Studio | Kling AI | MiniMax | Volcengine Ark |
|---|
| Text / reasoning | For evaluation | Not included in this matrix | For evaluation | For evaluation |
|---|
| Image generation | For evaluation | For evaluation | For evaluation | For evaluation |
|---|
| Video generation | For evaluation | For evaluation | For evaluation | For evaluation |
|---|
| TTS / audio | For evaluation | Not included in this matrix | For evaluation | Not included in this matrix |
|---|
✓ Consider for evaluation; — not included in this matrix, which does not mean the platform lacks that capability. Volcengine speech services may be assessed separately; they are not the same interface or entitlement as Ark.
Models, regions, pricing, access and commercial entitlements depend on the customer's account, currently confirmed rights and formal orders. A check mark indicates an evaluation option, not unrestricted access or a uniform discount.
杭州月瑀科技有限公司 holds Volcengine partner status. This does not establish agency, discount or resale rights for a particular model API; product and regional entitlements require separate confirmation. The capability combinations do not imply equal official agency status across all four platforms. Alibaba Cloud partner status can be checked through the official link below.
Alibaba Cloud Model Studio model documentation
Alibaba Cloud Model Studio model documentationKling AI products and developer platform
Kling AI products and developer platformMiniMax developer platform
MiniMax developer platformVolcengine Ark documentation
Volcengine Ark documentationMake one process work from start to finish.
First define who provides inputs, who reviews the work and who receives the result. Then connect models, cloud resources and existing systems. Use real tasks to assess quality and costs as the process moves from trial to daily use.
Knowledge search and customer support
Retrieve approved information within access limits, cite sources and hand off to a person when evidence is missing.
- Knowledge sources and access permissions
- Working Q&A entry point and human handoff
- Evaluation samples, configuration and maintenance guide
Connect authorized sources to retrieval and route questions to enabled text models by complexity. Integrate object storage, customer accounts, ticketing and activity logs.
Use an agreed question set to check answers and sources. Test unauthorized access and unanswered questions, then compare response times and cost per answer. Agree targets before implementation.
Content and video production
Connect scripts, assets, review and archiving. Track status and versions at every step, with recoverable failures.
- A working content production workflow
- Asset, task and version management
- Review gates, retry limits and usage records
Text models handle scripts and summaries. Video tasks can connect to Kling within confirmed entitlements. Assets stay in the customer's cloud, with queues and databases tracking status and versions.
Run the same content task end to end. Check that reviews block rejected work, failures can be recovered and versions can be traced. Record time and total model usage cost per accepted output.
Lead qualification and follow-up
Deduplicate, assign and track leads in one flow. AI prepares summaries; people approve consequential external actions.
- Field mapping and lead-routing rules
- System connections, reminders and error handling
- Activity records and human intervention
Connect existing forms and sales systems to authorized classification and summarization models. Run workflows in the customer's cloud and record each handoff in databases and logs.
Simulate new leads, duplicates and interface outages. Verify assignment, reminders and recovery. Assess workflow completeness and response times; review conversion separately against actual business results.
Start with one testable workflow
Agree the business outcome
Record current time, errors, waiting and labor costs. Use real tasks to define acceptance criteria for launch.
Start with the smallest useful scope
Keep necessary human review and access boundaries. Connect only the systems needed for the first phase, and validate the workflow and interfaces first.
Size the cloud resources
Choose models, compute and storage for steady demand, peaks and data requirements. Make usage assumptions and budgets explicit.
Improve after launch
Monitor calls, failures, human handoffs and costs. Deliver operating and maintenance guidance before deciding whether to expand.
Compare current labor and tool costs with the proposed resource, implementation and maintenance costs over the same period. YUEYU TECH makes assumptions and cost boundaries explicit so you can decide whether to proceed.
Market context · External research published in 2025, not YUEYU TECH customer results.
External research describes the gap between adoption and implementation. These are not YUEYU TECH customer results, nor do they describe every business.
78% — Use AI in at least one function
McKinsey survey report, March 2025. The corresponding share for generative AI was 71%.
McKinsey · The state of AI>80% — Have not seen a significant earnings contribution
McKinsey's June 2025 report on enterprise generative AI initiatives.
McKinsey · Agentic AI advantageAbout 1% — Consider their generative AI rollout mature
U.S. executive respondents in McKinsey's 2025 report, not a global census of businesses.
McKinsey · Superagency41% — Of generative AI prototypes reach production
Average in Gartner's 2024 enterprise AI survey; research published in June 2025.
Gartner · AI Maturity Matters杭州月瑀科技有限公司 holds Volcengine partner status. This does not establish agency, discount or resale rights for a particular model API; product and regional entitlements require separate confirmation. The capability combinations do not imply equal official agency status across all four platforms. Alibaba Cloud partner status can be checked through the official link below.
Verify partner status on Alibaba Cloud
杭州月瑀科技有限公司 has been verified as a Sales and Consulting Partner, with the status Joined the Partner Program and partner type Agency Partner. Check Alibaba Cloud for the current status.
Open the lookup page and enter the exact company name:
杭州月瑀科技有限公司
Open Alibaba Cloud partner lookupDiscount eligibility depends on your actual requirements.
Model and cloud costs follow confirmed entitlements, regions, usage and formal orders. Alibaba Cloud policies depend on approval and customer orders; other platforms are checked individually. The matrix is not evidence of agency rights or a uniform discount.
- Customer entity and account eligibility
- Products, specifications and billing model
- Purchase and deployment regions
- Expected usage and procurement period
- Offer validity and eligibility rules
Discounts are assessed for each customer. We do not promise a uniform rate or include unconfirmed discounts in a firm quote.
Separate pricing for models, resources, implementation and operations.
Model / API fees
Model calls or applicable service entitlements are itemized by product, usage and order. Calls through your own account and entitlements YUEYU TECH may sell are explained separately.
Cloud resource fees
Compute, storage, databases and networking are itemized separately from models, based on the customer's actual Alibaba Cloud or Volcengine orders.
Implementation fees
One-off costs for requirements, design, configuration, development, system connections, migration and acceptance testing.
Ongoing operations and tuning
Recurring services for monitoring, incident resolution, knowledge updates, workflow changes and performance improvement after launch.
Prices, service scope, regions and transaction terms follow official documentation, confirmed entitlements and actual customer orders. Confirm account permissions, data transfers and regional requirements before enabling paid calls or switching platforms. YUEYU TECH provides model services, workflow implementation and operations; it does not promise business results on a platform's behalf.
Start with the problem you most want to solve.
Bring your current accepted-output volume, unit cost and labor hours. Agree goals and measurement rules, then use a small sample to assess workflow, quality and cost.
- Current cost and accepted-output baseline
- Model routing and account permissions
- Resource costs and amortized implementation costs
- Sample retesting and acceptance recommendations
Book an efficiency review
Request a resource and implementation quote
Initial requirements discussions are free. Sample validation, custom development and paid cloud resources begin only after scope and fees are agreed.
