A very skilled and efficient AI partner, AnyforSoft seemed to best understand our objectives and challenges. We’ve had many instances where we’ve run into an issue, and their tech leads quickly came up with a creative workaround and implemented it without adding extra cost. It has truly felt like they’ve been a partner in the truest sense of the word.
Case Study
AI strategy for content growth and future personalization
The most valuable AI implementations don’t replace human expertise — they amplify it.
Newser’s journey with AnyforSoft proves this principle. The case began as a quest for automated content generation. Then, it became a powerful lesson in AI-human collaboration.
As an outcome, AI implementation brought the news aggregation platform a 25% increase in content production while maintaining quality standards that pure automation couldn’t achieve.
TECHNOLOGIES
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4 membersSERVICES USED
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2024 CHALLENGE
Where budget constraints meet AI expertise gaps
CHALLENGE
The news platform faced a critical scaling challenge. More traffic was essential for growth, which meant producing more high-quality content with strong SEO ranking potential.
AI automation seemed like the ideal solution as a cost-effective way to scale content production without expensive hiring.
However, the following obstacles stood in the team’s way:
- The lack of internal AI expertise. The company required external partnership to explore AI solutions.
- Budget-to-value mismatch with AI vendors. As the client explained: “A lot of the consultants were proposing very expensive services and a bigger initial project than we wanted. For some of the vendors, it was very expensive just to get a proof of concept.”
AnyforSoft approached these challenges with a mission of enhancement rather than replacement.
This approach would:
- Preserve quality and brand standards. Maintain the editorial practices and content quality that defined Newser’s brand while unlocking new production capabilities.
- Achieve cost-efficient scaling. Implement AI step-by-step only where needed, rather than through expensive wholesale automation.
What the client says
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SOLUTION
From automation failure to AI-human collaboration
SOLUTION
The AnyforSoft team approached the task in two waves.
- Custom prompting applied to Associated Press articles. The task was to generate summaries that editors could publish almost immediately, after a couple of tweaks. This approach appeared to be functional. However, produced content had the key flaw — it lacked the editorial voice and quality that readers expected.
System redesign around AI-human collaboration. Instead creating finished articles, AI was used to generate first drafts from multiple news sources. Editors turned them into final publications after revision.
FEATURES
FEATURES
Custom interface features
We crafted the custom interface in which editors could benefit from controlled automation:
- Choose news sources
- Set requirements for drafts according to a number of criteria
This customization significantly improved the quality of AI-generated drafts.
Moreover, we grounded the capabilities for Newser readers’ experience personalization in the future by building a flexible architecture. The system switches between different language models to continuously test and improve output quality.
OUTCOME
OUTCOME
Strategic insight
This pivot from complete to intelligent automation revealed a crucial insight. AI works best as an editorial accelerator rather than a content creator. The most effective approach amplifies human expertise instead of replacing it.
Want to get the most of AI by implementing it naturally into your workflow?
ACHIEVEMENTS
Success metrics: immediate growth and future potential
ACHIEVEMENTS
The human-AI collaboration approach delivered results that pure automation couldn’t achieve.
25% increase
in daily content output
5x growth
in content production in prospect
Functionality
To ensure optimal AI performance and editorial workflow integration, AnyforSoft implemented:
Custom prompt engineering
Custom prompt engineering
Trained AI models on Newser’s historical content and editorial style for consistent voice alignment.
Multi-LLM flexibility
Multi-LLM flexibility
Seamless switching between language models for performance optimization.
Human-AI workflow design
Human-AI workflow design
Collaborative editorial processes where AI generates drafts and humans maintain quality control.
Scalable content pipeline
Scalable content pipeline
Flexible infrastructure supporting growth from current output to five-fold production increases.
WORK WITH US
Scale your content production without compromising quality
We help media platforms and content-driven businesses implement AI solutions that amplify editorial expertise. From content scaling to personalization — we build collaborative AI that enhances your team.
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