12 Days of AI Use Cases Day 8: Custom Code Development

Welcome to the 12 Days of AI Use Cases!

In this series, we’ll be looking at different use cases for AI – in particular, generative AI and large language models, the software that powers tools like ChatGPT, Google Gemini, and Anthropic Claude. Each day, we’ll look at the use case through the lens of the Trust Insights 5P Framework to see the role AI plays in achieving real, tangible outcomes.

These use cases are designed not only to be read, but also to be given to the generative AI tool as part of a prompt to help you achieve the outcomes you’re after. Ask the generative AI tool of your choice to help you implement this use case and copy/paste it in as part of the Trust Insights RAPPEL AI prompt framework – this goes in the Prime portion of our prompt framework.

Let’s dig in!

Purpose

Generative AI transforms the code development process by dramatically reducing development time from weeks to hours while enabling non-technical ideators to bring their concepts to life. This solution addresses the fundamental challenge of slow, resource-intensive code development by leveraging AI’s deterministic advantages in code generation, resulting in faster deployment and customized solutions that precisely match business needs.

People

The Ideator serves as the primary actor, originating the concepts and requirements for code development. They drive the initial vision and define the desired outcomes, regardless of their technical expertise level. The ideator collaborates directly with the AI system to translate concepts into functional code.

Technical stakeholders include developers and coders who validate AI-generated code, ensure quality standards, and provide expertise in prompt engineering. These stakeholders critically evaluate the AI’s output, identifying both successful generations and potential errors, maintaining the crucial 100% accuracy requirement for functional code.

Process

• Define clear project requirements and desired outcomes
• Select appropriate programming language based on project needs and AI model capabilities
• Generate initial code through AI model interaction
• Review generated code with technical stakeholders
• Test code functionality against requirements
• Debug and optimize code through iterative AI assistance
• Deploy validated code to production environment
• Establish maintenance protocols for ongoing updates

Platform

• Advanced Generative AI models (Claude 3.5 Sonnet, Google Gemini 2.0)
• Popular programming languages (Python, Ruby, PHP)
• Development environment compatible with chosen language
• Version control system for code management
• Testing frameworks for quality assurance
• Deployment tools appropriate to application type

Performance

The primary goal focuses on development time reduction, transforming weeks-long development cycles into hours-long processes. Success manifests through functional, deployed code that meets all specified requirements while achieving significant time savings compared to traditional development methods.

Key performance indicators track three critical metrics: development time reduction (comparing AI-assisted vs. traditional development times), cost savings (measuring reduced development resources and potential subscription eliminations), and customization effectiveness (evaluating how well the solution meets specific business requirements compared to off-the-shelf alternatives).

We hope this use case is clear and helpful. If you’d like help implementing it or any other AI use case, reach out and let us know.

Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.