tech-scout

Daily AI tech intel scanning fetches global technology updates and categorizes them into Cat A (applicable) and Cat B (needs attention) for engineering strategy. This automated process outputs structured items with scores, summaries, and rationales to inform product and technical decisions.

Tech Radar pipeline ingestion requires structured fields including id, title, url, source, category, sub_category, scores (tech_fit, biz_relevance, impl_cost, maturity, competitive_edge), total_score, summary_zh, rationale, and scan_date. Optional fields like keyword_match and suggested_action provide additional context.

Categorized AI tech intel can be pushed directly to Notion for knowledge management. The scanning process outputs structured items formatted for Tech Radar pipeline requirements, enabling seamless Notion ingestion to track daily technology updates and scores.

The tech intel categorization processes inputs specifically within the MIRISE context for UAE enterprise services. It evaluates global AI technology sources against enterprise requirements, generating applicable and attention-needed categories with relevance scores.

Evaluating AI technology findings involves scoring tech_fit, biz_relevance, impl_cost, maturity, and competitive_edge. The scanning process calculates a total_score from these dimensions, providing a rationale and suggested_action to guide engineering and management decisions.

Cat A represents AI technologies that are directly applicable for immediate engineering use, while Cat B includes items needing further attention and monitoring. This categorization helps teams prioritize technology adoption and track emerging trends for future strategy.