AI Strategy Case Studies

AI Product Strategy & Elite Testing 

Overview

Client: Leading AI Developer

Program: Anonymous Tester Engagement

Timeline: 7+ Months

Key Result: Ranked in Top 0.5% of 4,000+ Contributors

Executive Summary 

Selected for an elite, long-term AI feedback program, I operate as an AI Product Strategist and Systems Tester, ranked in the top 0.5% of over 4,000 contributors. Over seven months, I delivered 183 strategic contributions, including advanced prompt engineering and custom AI workflow designs. My insights identified critical usability gaps and performance issues, directly shaping product direction. Recognized with formal performance bonuses, my work ensures professional-grade reliability, usability, and strategic value for emerging AI features.

Client Context & Core Challenge 

The client’s pre-release AI features were powerful but posed risks of inconsistent outputs and UX gaps. The challenge was to systematically identify flaws before public launch, ensuring reliability, intuitive workflows, and strategic value for professional and creative users—mitigating adoption risk and reputational exposure.

Role: AI Product Strategist & Elite Systems Tester 

Invited to a select group of Trusted Testers from 4,000+ candidates based on AI workflow and prompt engineering expertise, I:

• Rigorously tested new AI features in coding, content creation, and strategic planning scenarios.

• • Engineered and validated advanced prompt systems for SEO, content strategy, and UX optimization.

  • Delivered detailed qualitative feedback and actionable recommendations to refine model behavior, feature design, and workflow reliability.

Strategic Process & Value Delivered 

My methodology converted expert usage into actionable product intelligence across three areas:

1). Feature Validation & Usability Analysis

• Identified edge cases, UX inconsistencies, and workflow challenges that could impede adoption.

• Delivered comprehensive reports guiding pre-release reliability improvements.

2). Output Quality Assessment

• Evaluated AI-generated outputs for accuracy, clarity, and relevance.

• Provided concrete examples that informed model refinements and performance enhancements.     

3). Strategic Product Recommendations

• Proposed interface design improvements, workflow integrations, and feature strategies beyond standard bug reporting.

• Ensured alignment with professional user needs and high-value strategic workflows.

Impact & Recognition

• Ranked in top 0.5% of a 4,000+ member testing community for quality contributions.

• Awarded formal performance bonus for insights directly influencing product direction.

• Maintained long-term role beyond seven months in a high-turnover program where most members are sunsetted within six months, demonstrating sustained excellence.

Skills Demonstrated

AI Strategy & Workflow Design:

• Strategic AI Integration

• AI Workflow Optimization

• Advanced Prompt Engineering

Product Strategy & User-Centric Design: 

• Product Strategy & Feedback

• Usability & UX Analysis

• Qualitative Feedback & Reporting

Technical Execution & Testing:

• AI Systems & Feature Testing,

• Quality Assurance & Output Evaluation,

• Technical Problem-Solving

AI Prompt Engineering & Technical Application

Overview

Client: Pulse Labs AI

Engagement: The AI Journal Study

Timeline: December 2024

Key Result: Awarded Performance Bonus for Expertise

Executive Summary

Engaged by Pulse Labs AI in a multi-stage, paid research initiative, I was tasked with demonstrating advanced AI workflows that bridge technical execution and strategic application. Leveraging my proprietary Prompt Engineering Toolkit, I guided Gemini AI to produce optimized code, streamline strategic workflows, and systematize creative ideation. Recognized with a performance bonus, my contributions validated AI’s role as a collaborative partner capable of solving complex business and technical challenges.

Client Context & Objective

Pulse Labs AI, a leader in AI user experience research, sought expert-level insights into how professionals deploy advanced AI models for high-value, real-world tasks. The objective was to collect actionable data that could inform the design of AI systems optimized for both technical execution and strategic decision-making.

Role: Expert AI Strategist & Prompt Engineer

Selected to represent expert-level usage, I demonstrated how advanced prompting can transform AI from a reactive tool into a proactive problem-solver. Responsibilities included:

• Conducting structured, recorded sessions with Gemini AI for both coding and strategic workflows.

• Providing detailed qualitative analysis on usability, performance, and potential improvements.

• Delivering a final video presentation with synthesized findings and forward-looking recommendations.

Impact & Validation

This engagement delivered measurable outcomes and third-party validation of my expertise in advanced AI applications:

• Demonstrated ability to operationalize AI for both technical builds and strategic workflows.

• Showcased advanced prompt engineering as a method to translate complexity into usable, high-value output.

• Positioned AI as a partner in innovation, enhancing both efficiency and strategic clarity.

Skills Demonstrated

AI Strategy & Integration: 

• Advanced Prompt Engineering

• Workflow Design

• Strategic Application

Technical Execution: 

• AI-Assisted Coding

• Technical Problem-Solving

• Applied Development

AI Optimization & Analysis: 

• Usability Evaluation

• Qualitative Performance Insights

• System-Level Improvements