Lokal, a regional news platform, faced the challenge of delivering concise, engaging, and culturally relevant Telugu news at scale. With increasing content volume and a need for fast turnaround, manual summarization and headline creation were slowing operations. By partnering with GoML, Lokal deployed a Gen AI new summarization pipeline using Claude 3.5 Sonnet on Amazon Bedrock to automate news content generation with cultural nuance and journalistic accuracy.

The problem: manual content generation slowed news delivery

As Lokal expanded its coverage, their editorial team struggled to keep up with the rising volume of news articles requiring summarization and headline crafting in Telugu, a linguistically rich and complex language.

Editors spent hours creating summaries that balanced clarity with cultural relevance, while headline creation remained subjective and time-consuming. Ensuring consistency, accuracy, and linguistic quality at scale became nearly impossible, hampering Lokal’s ability to grow and engage its regional audience.

The solution: AI news summarization and headline generation

GoML delivered an end-to-end AI pipeline powered by Claude 3.5 Sonnet on Amazon Bedrock to automate the Telugu news production workflow, from raw article ingestion to final output.

Article ingestion

Raw Telugu news articles were uploaded into the pipeline.

These served as the base input for AI-powered summarization and headline generation, eliminating the need for manual pre-processing.

Prompt-engineered AI news summary generation

Using Claude 3.5 Sonnet, the system generated concise summaries based on carefully crafted prompts grounded in journalistic best practices.

Each prompt focused on:

• Clarity and factual accuracy

• Coverage of the 5Ws and 1H

• Culturally appropriate phrasing in Telugu

The result: consistently high-quality summaries that retained the essence of the original article.

‍

AI news headline creation

The AI then generated headlines using the summary as input. Prompts were optimized to produce:

• Catchy and scroll-stopping headlines

• Culturally familiar phrasing

• Linguistic simplicity for broader appeal

Quality validation

Before publication, summaries and headlines were validated using another Claude 3.5 Sonnet prompt that checked:

• Grammar and spelling in Telugu

• Cultural appropriateness

• Tone, length, and relevance

Only validated outputs made it to the final publishing stage.

The impact: high-quality AI news summarization at scale

Lokal realized tangible improvements across editorial operations:

• 78% reduction in manual effort, accelerating publishing timelines

• 65% increase in user engagement, driven by relevant, engaging headlines

• 85% scalability, enabling replication across other regional languages

Lessons for other media organizations

Common pitfalls to avoid

• Using generic prompts that ignore linguistic nuance

• Relying on translation tools instead of native-language generation

• Underestimating the complexity of regional content delivery

Advice for teams facing similar challenges

• Use prompt engineering to guide Gen AI models in culturally complex languages

• Automate both generation and validation to maintain quality

• Choose models like Claude 3.5 that are strong in multilingual reasoning

Want to scale regional news delivery with Gen AI?

Let GoML help you build AI-powered content pipelines just like Lokal using our LLM boilerplates for quick delivery.