await researchTopic(query, { sources: 50 })

Dr. Chen is a biotech researcher at a mid-size university lab who needed to produce a comprehensive literature review for a $2M NIH grant proposal. The scope required covering 200+ papers spanning 5 years of research across three adjacent fields. Manually reading, extracting, and synthesizing that corpus would take three weeks — and the deadline was in ten days. She discovered OpenClaw's PDF Batch Mode in a forum thread and set it up on her MacBook Pro M3 in an afternoon. Before going to bed, she dropped all 200+ papers into a watched folder and set the extraction prompt: 'Identify the main hypothesis, methodology, key findings, sample sizes, and limitations of each paper. Note contradictions between papers and emerging themes across the corpus.' By 6 AM, she had a 15-page structured literature review: 47 minutes of processing time for a task that would have taken weeks. The document included a thematic summary, a contradiction map (where paper A's findings contradicted paper B's), and citation-ready formatted excerpts for the top 40 findings. It wasn't perfect — she spent 2 hours reviewing and correcting edge cases — but it was 90% of the work done. She submitted what she later called the strongest grant proposal of her career and won the full $2M. Since then, she runs a weekly 'Research Pulse' that monitors 30 journals and competitor lab publications automatically, delivering a Monday morning briefing of new findings in her fields.