That's the problem this episode solves.

Chris Bradley walks through the discipline of building your Agentic DNA — the portable layer of identity, standards, and skills that travels with you across models and harnesses. The system has three phases: Extract what's already there, Consolidate it into a small set of files you own, Deploy those files into every environment where you work.

He's direct about what actually moves and what doesn't. Saved memories, in-app history, harness-specific automations — trapped. Files, skills, written context documents, structured prompts — free. The job is moving everything you can to the free side of that line, so the next time a new model or harness drops, you're productive in it within the hour.

The episode introduces the Portability Test — three questions for deciding what belongs in your DNA — and closes the Tools That Changed How I Work sub-series. Five episodes on tools. One episode on the layer that survives them.

Three things to try this week included.

The practical effect was a step change. Codex stopped being a tool that helped me code and became the environment where most of my work now happens.

In this episode, Chris Bradley walks through the seven capabilities that define Codex today, the prompt bake-off practice that drives his tool decisions, and where Codex pulls ahead — particularly on slide and visual work powered by GPT Image 2.0. He's also direct about the limits: Claude Code is still his primary IDE for heavy builds, NotebookLM still wins on source-grounded research, and both Codex and Claude have shown growing pains as the labs push harder at the frontier.

The fourth episode in the Tools That Changed How I Work sub-series. The through-line across all four — NotebookLM, Antigravity, the Claude desktop app, and now Codex — is the same: match the tool to the work, and stay willing to move when the picture changes.

Three things to try this week included.

In this episode, Chris Bradley walks through how Anthropic's approach actually plays out in practice. When to use each surface. Why Claude Code desktop has become his go-to for vibe coding. How Cowork turns Claude from an AI chat into a real workspace that produces documents, spreadsheets, and decks. And why specialization with seamless switching solves the context-switching problem differently than pure consolidation does.

Episode 6 in the Tools That Changed How I Work sub-series. Episode 7 goes deep on OpenAI Codex.

Chris Bradley is CMO at Veritiv and head of Veritiv's AI Transformation Lab.

I never finished that story.

The output wasn't a report. It was a functioning Node.js application with an interactive map my team still uses today. Google Antigravity didn't just run an analysis. It built a tool.

In this episode, I break down exactly how that happened — and why Google Antigravity produces results that most agentic AI tools can't match. We cover the three capabilities that make it different: its multi-agent architecture, its deep Google ecosystem integration, and its best-in-class browser control — including the audit trail that lets you review every browser session after the fact.

We also get into vibe coding — why Google Antigravity is my preferred environment for building knowledge worker applications, and what it means that non-technical professionals can now describe a dashboard or internal tool and have it built in a single session.

Plus: the Handoff Test — a simple three-question framework for knowing when Google Antigravity is the right tool to reach for, and when something else is a better fit.

That distinction sounds small. It isn't. When you're doing serious research — regulatory analysis, competitive intelligence, executive briefing prep — the difference between a tool that synthesizes the web and a tool that synthesizes your documents is the difference between fast and trustworthy.

In this episode, Chris Bradley introduces Google NotebookLM and explains why source fidelity changes what's possible in knowledge work. Every claim cited. Every insight traceable. Every synthesis grounded in the materials you approved — nothing more, nothing less.

Chris walks through five capabilities that make NotebookLM genuinely useful in practice: cross-document synthesis, Audio Overviews, Slide Decks, Infographics, and Data Tables. He also introduces the Source Test — a three-question framework for knowing when to reach for NotebookLM versus a general-purpose AI tool like Claude or ChatGPT.

The episode opens with a real example: ten sources, two conflicting regulatory frameworks — the EU's PPWR and the Environmental Omnibus — and a structured cross-document analysis that would have taken two days done in minutes.

This is the first episode in the Tools That Changed How I Work sub-series. The focus isn't product reviews. It's matching the right tool to the right work — and understanding exactly why that matching skill matters more than most people realize.

This episode addresses that directly. The answer isn't a better training program. It's a better practice system.

In Episode 3, Chris Bradley introduces a three-habit framework built for continuous AI fluency: the AI Pulse, a monthly calibration that keeps your mental model of AI's capabilities current; the Workflow Lab, a weekly thirty-minute session dedicated to examining and redesigning one workflow at a time; and the Workflow Pause, an in-the-moment reflex that catches automation opportunities before you execute on autopilot.

The episode also shows how ODIF — the agentic direction framework from Episode 2 — maps directly onto workflow redesign, making every Lab session more rigorous and every output more immediately usable.

The goal isn't to cover more ground. It's to build habits that compound — practices that run continuously.

Chris Bradley is Chief Marketing Officer at Veritiv and Head of the AI Transformation Lab, where he leads organizational strategy around AI adoption and capability development. With deep expertise in AI workflow optimization and business transformation, Bradley has pioneered the shift from traditional prompt engineering to agentic direction, a more strategic approach to delegating complex work to advanced AI systems. In this episode, he shares a transformative case study where a competitive analysis that once required 1-2 weeks was completed in under 30 minutes using next-generation AI tools. His insights on structural prompting frameworks and agentic workflows provide actionable strategies for professionals seeking to maximize AI productivity and move beyond outdated 2024-era prompting techniques.

Chris Bradley is the Chief Marketing Officer at Veritiv and Head of the AI Transformation Lab, recognized for his expertise in AI adoption and organizational transformation. With a background in technology innovation and strategic marketing, he has spent his career navigating emerging technology cycles and translating complex innovations into practical business applications. In this episode, Bradley provides a comprehensive roadmap for understanding the fundamental shift from generative AI to agentic AI, sharing concrete frameworks and real-world applications being tested within Veritiv's marketing operations. His hands-on experimentation over the past six months has yielded dramatic gains in output, speed, and quality—insights he now distills into actionable strategies for leaders and operators seeking competitive leverage. This conversation is essential for anyone responsible for AI strategy, workflow optimization, or building organizational capability in an era where execution speed and intelligent delegation are becoming core competitive advantages.