Featured Client
Gasgoo
Gasgoo | AI Workflow for High-Frequency Industry Content
Rebuilding the operations architecture for high-frequency news and hot-topic columns. By systematically organizing, filtering, and accumulating massive industry data, the workflow drastically shortens the collaboration chain from discovery to publication.
Breaking high-frequency bottlenecks to establish a robust, long-term content supply.
150+
Articles/day, significant output increase
85%
Approval rate with steady quality improvements
75%
Drop in editor processing time, shifting to oversight
Why high-frequency operations struggle to scale steadily
Massive Volumes & Homogenized Noise
The auto industry generates endless news, announcements, price shifts, and tech updates daily. Editors drown in the tedious labor of deduplication, evaluation, and categorization.
Protracted Collaboration Chains
Hot-topic windows are extremely short. Traditional manual processes—from browsing and filtering to organizing topics—are too slow to capture first-mover advantage.
Over-reliance on Individual Expertise
High-quality column supply depends heavily on the personal experience and bandwidth of senior editors, making it hard to scale and vulnerable to staff turnover.
Lack of Structured Asset Accumulation
Valuable historical materials fade away unclassified after initial screening. Without structured knowledge retention, every new thematic project starts from scratch.
AI Handles Aggregation & Fact-checking, Editors Focus on Judgment & Review
Built around high-frequency industry news production, organizing scattered reports, repetitive data, and multi-source facts into an auditable, traceable, and publish-ready deep news production pipeline.
Global Industry News Scraping & Initial Cleaning
Continuously gathering auto industry news, announcements, media reports, and public data while filtering out duplicate sources, low-value content, and noise.
Same-Event Recognition & Topic Clustering
Determining whether multiple articles revolve around the same event, clustering similar reports by event, enterprise, car model, and tech stack to reduce repetitive editor reading.
Information Extraction & Fact Supplementation
Extracting core facts, key entities, timelines, varying angles, and incremental information from multiple reports on the same event, retaining source attribution.
Deep News Generation & Editorial Review
Generating a more comprehensive and well-structured industry news draft based on aggregated facts, while passing key sources, doubts, and unconfirmed info to editors for review.
AI Filters & Aggregates; Editors Retain Final Judgment
Human Editorial Supremacy
The workflow frees up productivity without blindly replacing editors. Topic direction, deep insights, and final publishing authority remain strictly with senior staff.
Absolute Source Traceability
Every AI-extracted summary and aggregated clue retains original links and source metadata, allowing strict manual verification and eliminating hallucination risks.
Dynamic Feedback Optimization
Integrating editors' daily accept/reject decisions forms a closed feedback loop, continuously calibrating the system's recommendation accuracy and tagging quality.
Ideal for organizations needing to rebuild information routing systems to tackle high-frequency, massive-scale content operations.
Vertical Industry Media & Portals
Restructuring the collaboration chain from hot-topic capture to publication, creating a scalable supply of news and features.
Enterprise Content & PR Teams
Systematically tracking global sentiment, competitor moves, and policy shifts to build a proprietary, structured industry knowledge base.
Research Institutions & Platforms
Overcoming the flood of homogenized information to massively increase the output capacity for deep, professionally judged structured content.
