Speaker

A.D. Slaton

A.D. Slaton

A.D. Slaton, CEO of Stillriver Solutions, an AI engineering consultancy. He advises startup founders and enterprise CTOs on AI enablement, teaching the Core 4 of AI engineering.

Atlanta, Georgia, United States

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A.D. Slaton is the founder of Stillriver Solutions, an AI engineering consultancy helping teams build effective workflows with coding agents. He advises startup founders and enterprise CTOs on AI enablement, teaching the Core 4 Framework—Model, Context, Prompt, and Tools—through hands-on workshops and advisory engagements.

A.D. spent 13+ years building mission-critical streaming platforms at Turner Broadcasting, CNN, and Warner Bros Discovery. His systems served millions during March Madness, NBA playoffs, and breaking news coverage—environments where failure wasn’t an option. That background shaped his engineering philosophy: build foundations that work under pressure, not demos that impress in ideal conditions.

In 2025, A.D. launched Stillriver to focus fully on AI enablement. He works daily in Claude Code, Gemini CLI, and agentic coding environments, maintaining his own AI workstation with local models. The Core 4 Framework emerged from this hands-on practice—a teachable mental model for understanding why AI tools work when they work.

A.D. is a Lehigh University alum, a member of the Henry County Chamber of Commerce, and co-founder of the Slaton Cares Foundation, a nonprofit focused on direct assistance to individuals in need. He believes the gap between AI hype and AI usefulness is a training problem, not a technology problem—and that foundational knowledge should be shared openly.

Based in Metro Atlanta, Georgia.

Area of Expertise

  • Business & Management
  • Information & Communications Technology

Topics

  • AI Engineering
  • Technical Architecture
  • Software Design
  • AI Enterprise Architecture
  • Coding Agents
  • LLMs
  • Developer Productivity
  • AI Adoption

AI Assisted Development

Transform your development workflow with AI-powered tools and techniques. This hands-on workshop teaches the Core 4 Framework (Model, Context, Prompt, Tools), a practical mental model for effective AI engineering.

You will learn to evaluate and choose AI tools for your use cases, configure agent memory systems that give AI persistent project context, and master prompt engineering patterns that get quality results. We'll compare Claude, Gemini, and other tools, explore LLM capabilities and limitations, and cover real integration strategies for existing workflows.

No AI background required? Just bring your development experience and curiosity. You will leave with a complete checklist for adopting AI-assisted development in your own projects.

Duration: 105 minutes (1 hour 45 minutes)
Format: Live interactive workshop (in-person or virtual)
Target Audience: Developers, engineering teams, technical leads
Technical Level: Beginner to Intermediate (no AI/ML background required)
Prerequisites: Basic software development experience
Ideal Group Size: 5-50 participants
Materials Provided: Slide deck, examples, resource guide
A/V Requirements: Projector/screen, microphone for larger rooms

AI Assisted Development: Core 4 Framework

Get up to speed on AI-powered development in 30 minutes, then put it into practice during open spaces mobbing. This session gives you the mental models and practical foundations to start using AI tools effectively today.

Learn the Core 4 Framework (Model, Context, Prompt, Tools), understand how to evaluate AI tools for your workflow, configure agent memory for context-aware interactions, and master prompt patterns that get better results.

Then, during open spaces, bring your own codebase and problems. We'll mob on real tasks: setting up agent memory files, crafting prompts for debugging and testing, evaluating tools for your stack, and integrating AI into CI/CD workflows. Skepticism welcome—no code, no problem—we'll have examples ready.

Duration: 30-minute talk + open spaces/hands-on session (flexible duration)
Format: Conference talk followed by interactive mobbing
Target Audience: Developers, DevOps engineers, technical leads
Technical Level: Beginner-friendly, practical focus
Prerequisites: Basic development experience; laptop recommended for open spaces
Best Fit: developer conferences with open spaces format
Note: Open spaces portion works with any group size; attendees can bring their own codebases or use provided examples

A.D. Slaton

A.D. Slaton, CEO of Stillriver Solutions, an AI engineering consultancy. He advises startup founders and enterprise CTOs on AI enablement, teaching the Core 4 of AI engineering.

Atlanta, Georgia, United States

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