Execution Engine

Problem

Turning a high-level prompt into a structured product artifact meant long manual planning cycles, and the first draft often missed the mark — workflow planning took around 1.5 hours and only a fraction of outputs were accepted on the first pass. That made artifact generation slow and unreliable to scale across teams.

Approach

I co-built a prompt-driven execution engine using LLM-based agent orchestration with RAG and ReAct pipelines. The orchestration drives planning from a prompt, RAG grounds outputs in relevant context, and the ReAct loop reasons and acts toward a structured product artifact — automating generation end to end.

Impact

• Compressed workflow planning from 1.5 hours to 15 minutes.
• Raised first-pass acceptance from 65% to 85%.
• Enabled automated generation of structured product artifacts for 1.5K+ users.

Contribution: Co-built — a collaborative effort I contributed to substantially.