Credential

Certificate in Applied Generative AI
Massachusetts Institute of Technology (MIT)
AI Video Production
Problem

Companies need video content that competes. Traditional production timelines are long and expensive.

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Solution

AI-native video production — from storyboard to final cut. A fundamentally different workflow that delivers broadcast-quality work at a fraction of the cost and timeline.

Result

Broadcast-quality deliverables. Radically compressed timelines. Delivered across independent clients and as part of the SGWX production team.

Live Event Operations
Problem

Major international sporting event. Dozens of stakeholders. Staff spent days every year pulling data from old spreadsheets, rebuilding documents from scratch.

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Solution

Built an automated system that pulls historical data and generates ready-to-use briefing documents.

Result

What took days now takes minutes. Errors eliminated. The team got their time back.

Content Analytics
Problem

Performance data lived on multiple platforms. Formats were inconsistent. It took hours every week to manually pull and reconcile numbers.

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Solution

Built an automated system that pulls data from all platforms, merges inconsistent formats, and generates performance insights automatically.

Result

What took hours every week now runs on its own — and surfaces insights that manual reviews missed. Designed to scale.

Content Strategy
Problem

Downloads were in decline. Leadership needed a recovery plan.

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Solution

Used AI to analyze 2+ years of performance data — analysis that would have taken a team weeks. Discovered the real problem: the content had never built an organic audience. Reframed the entire strategy from recovery to first-time growth.

Result

Delivered a 55-page deck with actionable recommendations. Changed the strategic direction entirely.

Creative Production
Problem

55 transcripts to search. 120+ quotes to cut, shape, and structure into a 5-act story. Multiple tracks of music to source. One-person team.

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Solution

Built AI tools that handled the tedious parts — transcript searching, organizing quotes into a paper edit, writing music prompts, building meta tags. What remained was the creative work: culling 120+ quotes into 26, shaping the narrative, editing the episode.

Result

Delivered in a fraction of the usual timeline. AI handled the labor. The human made the art.

The final chapter takes that principle to its furthest conclusion yet.

Next: Experiential Knowledge Design →