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open to roles · 2026

sharice wells.

AI Automation Lead

I run the experiments. I also build the tools that run them.

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portrait of Sharice Wells

I build production AI systems for the content and marketing teams I support. One handles ~1,000 article pitches a month and returns about 80 editor hours. Another rewrote the Google Discover pipeline and drove roughly $800K in attributable revenue.

I came to this from regulatory finance, reviewing insurance carrier statements where the job was catching what shouldn't pass. Then FP&A on a $315M budget across 16 teams. Now I build systems that evaluate work against a standard. It's been the same problem the whole time, with the evaluator moving from me to a model.

I ship fast.I build for real use.I treat AI as a co-worker.
selected work
01

Article Pitch Approval System

new

Pitch triage for ~100 contract writers. Evaluates article pitches the moment they land, returns specific feedback in under a minute, and moves decisions to editors in Slack. Airtable AI agents run evaluation and routing. Claude Opus handles the judgment calls after a cheaper model proved inconsistent on them.

  • Moved evaluation to the moment of submission instead of automating the existing queue
  • Claude Opus on the judgment calls — roughly 0.08% of the team's monthly Airtable credits
  • Fast, specific feedback raised submission quality on its own — full build write-up on /lab
production · ~1,000 pitches in month one · 94% first-pass · ~80 editor hrs/month returned
02

AI headline optimization engine

Built an autonomous daily workflow that generates GPT-scored headline variants from market data, deduplicates, archives, and delivers to Slack — plus an analytics system that quantified value across 9,000+ headlines.

  • Apps Script + OpenAI API end-to-end pipeline
  • GPT rewrites underperforming headlines and explains reasoning
  • Predicted CTR lift metrics for testing potential improvements
+5% CTR · +20% content velocity · $4M+ attributable value
03

CopyCraft Agent

new

Turns structured marketing briefs into publish-ready content with 8 scored headline variants, cross-model editorial QA, and A/B test recommendations. Three-model architecture — Claude Sonnet 5 generates, GPT-4o or Gemini Flash evaluates.

  • Claude Sonnet 5 generation + GPT-4o/Gemini Flash cross-model QA
  • 8 scored headline variants with A/B test recommendations per run
  • FastAPI backend, Streamlit front end — live, runnable demo
live · try the demo on /lab
04

Landing Page Conversion Auditor

A live tool that screenshots any landing page, runs it through GPT-4o-mini Vision to detect CTAs, forms, headlines, and images, then scores it against a 7-rule CRO rubric and returns an A–F audit.

  • ScreenshotOne + GPT-4o-mini structured-output pipeline
  • 7-rule CRO scoring engine ported from Python to TypeScript
  • Embedded as a live demo on /lab — paste a URL, see the score
live · paste any URL on /lab
05

AEO + GEO strategy

Writing up the playbook for getting cited in Perplexity, ChatGPT, and Claude — where Answer Engine Optimization and Generative Engine Optimization actually diverge from SEO, and how content teams should adapt their workflows for AI-first discovery.

case in progress · coming soon
06

Central AI automation infrastructure — internal program

new

Built the org's central AI infrastructure across Content, SEO, and Marketing Ops: a live Airtable tracker of 15+ active tools and a Confluence hub covering governance, documentation standards, DIY build guides, and prompting best practices.

  • 1:1 workflow discovery sessions to identify, prioritize, and build AI solutions across three teams
  • Scoped builds using Claude (Anthropic API, Claude Projects), n8n, Zapier, Airtable, Apps Script, Python
  • AI governance: voice/tone guidelines, output evaluation frameworks, credential security protocols
15+ active tools in production · org-wide AI infrastructure · in progress
résumé
  • May 2026 — presentGrowth Marketing Engineer — The Motley FoolLead AI automation strategy and central infrastructure across Content, SEO, and Marketing Ops; own the org's AI tool tracker, Confluence governance hub, and internal consulting program.
  • 2024 — May 2026Growth Marketing Manager — The Motley FoolOwned growth performance and conversion strategy across 1,200+ monthly digital experiences driving $1.2M+ in monthly revenue at peak; managed 60 contractors and built 10+ production AI workflows.
  • 2022 — 2024Manager, Content Marketing — The Motley FoolLed conversion-focused optimization and A/B testing across organic experiences, contributing to $10M+ in revenue impact in under a year; built internal apps and automation that reduced campaign setup time 50%.
  • Aug 2021 — 2022Content Strategist — The Motley FoolOptimized content for SEO and organic growth using keyword research and GA4/Ahrefs analysis — the analytical foundation that later evolved into the marketing ops and AI automation work.
  • Nov 2022 — Jan 2026Freelance Editorial ConsultantAutomation workflows, editorial infrastructure, and conversion-focused content for B2B clients.
  • Jan 2021 — Aug 2021Finance Partner, FP&A Specialty Pharma — GSKDirected financial planning for a $315M annual marketing budget supporting 16 teams.

educationM.S. & B.S. Accounting, NC State University · NYU SPS Copyediting & Proofreading

certificationsGoogle Digital Marketing & E-Commerce, Vanderbilt Prompt Engineering, HubSpot Content Marketing, Coursera AI-Powered Data Analysis, AWS AI Practitioner

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