NEARWEEK: AI-driven content automation with verifiable inference

The Challenge

NEARWEEK produces daily content for Telegram, Discord, X, LinkedIn, and Instagram. Manual production and publishing took too much time, and there was a need for automated content production based on news sources, publishing across all channels, and documentation that AI-generated content actually comes from the claimed model.

The last point is critical in an ecosystem where credibility is crucial.

The Solution

We developed an automated pipeline that collects and analyzes news from relevant sources. The pipeline generates tailored content for each platform (format, length, tone) and auto-publishes via Buffer to all social channels. We use NEAR AI's confidential computing for verifiable inference.

The last component means that every AI generation can be proven to come from the specific model - no manipulation possible.

Confidential Computing

Traditional AI inference happens in "black boxes" where you must trust the provider. With cloud.near.ai, inference runs in a Trusted Execution Environment (TEE), providing verifiability (proof that output comes from the claimed model), confidentiality (input data remains private), and integrity (no one can manipulate the inference process).

For a news media, this is a game-changer: readers can verify that content is actually generated as claimed.

Results

3x growth in followers and impressions across channels.

Verifiable AI: First media in the ecosystem with provable AI content.

Time freed: Team can focus on deep-dive content rather than daily production.