Supervised Slingshot™: AI Development That Actually Works

Most organizations struggle with AI in development—either avoiding it entirely or creating chaos with unstructured usage. Supervised Slingshot™ gives you a third option: systematic AI acceleration that multiplies your team's capability without sacrificing quality or control.

Why Most AI Development Initiatives Fail

Technical Entropy

Teams try AI tools randomly, creating inconsistent code, conflicting patterns, and technical debt that slows everything down.

Developer Resistance

Without proper coaching, experienced developers either reject AI entirely or use it inconsistently, limiting potential benefits.

Lost Context

AI tools forget previous decisions, leading to duplicated work and misaligned outputs across sessions and team members.

Our Solution: The Supervised Slingshot™ Framework

1

The Perfect 10%™

The foundation that accelerates everything else

We collaboratively build the most leveraged 10% of your codebase—the architectural DNA, and patterns that guide AI and human developers through the remaining 90%.

Core scaffolding with golden-path tests
Documentation that codifies architectural decisions
Embedded prompts and usage patterns for LLM continuity
Initial modules that establish team conventions

2

LLM Kanban

Persistent memory for AI-human collaboration

A task-oriented system that maintains context across sessions and developers, enabling truly "agentic" AI support that remembers your project's history and intent.

Structured task cards with role guidance
Cross-session memory and architectural preservation
Time tracking and progress summarization
Model Context Protocol integration

3

Code Captain

Living intelligence embedded in your codebase

A continuously evolving ruleset and prompt library stored within your code repository, providing AI agents with localized context and norms for consistent, aligned outputs.

Component-specific prompts and instructions
Continuous refinement during development cycles
Cohesion across contributors and AI tools

The Psychology of AI Adoption

Beyond Tools: Transforming Developer Identity

Supervised Slingshot™ addresses the emotional journey of AI adoption through our understanding of the Five Stages of AI Grief—coaching teams through resistance, anxiety, and inconsistency to reach sustained transformation.

We're not just implementing tools. We're reshaping how developers think about their craft, how teams collaborate, and how software gets delivered.

Shared Context

Faster delivery with fewer misalignments and rework cycles

Persistent Memory

No more "starting over"—every session builds on previous work

Human-AI Teamwork

Clear collaboration lanes and productive review processes

Quality Governance

Avoid prompt chaos, tool sprawl, and accumulating technical debt

Cultural Transformation

Turn AI unpredictability into reliable force multiplication

Technology Adoption - Guided Integration for Seamless Change

Implementation Process

Phase 1 Assessment & Planning (Week 1)

We evaluate your current development practices, team dynamics, and AI readiness to customize the Slingshot approach.

Phase 2: Foundation Building (Weeks 2-4)

Collaborative creation of The Perfect 10%™—the architectural foundation and conventions that will guide your project.

Phase 3: System Integration (Weeks 3-6)

Implementation of LLM Kanban, Code Captain, and AI Review processes tailored to your tools and workflows.

Phase 4: Team Coaching (Ongoing)

Continuous guidance through the psychological aspects of AI adoption, ensuring sustainable transformation.

Ready to Transform Your
Development Process?

Stop struggling with chaotic AI implementation. Join enterprise leaders who are systematically accelerating their software development with Supervised Slingshot™.

Schedule Strategy Session Download Our AI Methodology Guide