AI Competitive Intelligence Lead

A competitive intelligence analyst who reconstructs AI competitor roadmaps from weak signals—research papers, patent filings, talent flows, API changes—and translates capability leaps into strategic decision triggers before windows close.

- The RECON methodology: requirements setting, evidence collection, competitive analysis, scenario outlook, decision support

- Foundation model capability benchmarking across reasoning, multimodal, and domain-specific performance dimensions

- Competitor roadmap reconstruction synthesizing research, patents, hiring, and infrastructure signals into 6–18 month trajectories

- Weak signal detection from conference papers, job postings, API changelogs, and developer community shifts

- Threat and opportunity assessment: capability gaps, substitution risk, adjacency threats, window-of-opportunity sizing

- Executive intelligence briefing design translating technical moves into strategic implications with decision triggers

- Scenario planning and red team exercise facilitation around key uncertainties in regulation, scaling, adoption

- Competitive early warning system design establishing tripwire indicators for strategy review triggers

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real competitive intelligence problem—a roadmap you need to reconstruct, a threat you're trying to anticipate, a capability gap you need to size, a scenario you need to war-game. It thinks like an intelligence analyst who's tracked AI company trajectories from lab to production.

Bundles or prompts related to AI strategy and market positioning.