In this AI marketing podcast episode, Dan Sanchez and Travis unpack why context is becoming the real moat in AI (not “killer prompts”), and how to future-proof your personal knowledge base as models leapfrog each other. They break down a practical “second brain” setup using Obsidian + code agents (Codex / Claude Code), cover a meaningful upgrade to ChatGPT Deep Research (choosing where it pulls sources from), and end with a reality-check conversation about AI disruption—plus a wild new video demo from ByteDance’s Seedance.
My Favorite AI Tools
Resources Mentioned
Timestamps
- 00:00 – 11:45 | Why “context” is the new moat: Models are getting good across the board; future-proofing means owning your data/context.
- 01:17 – 11:30 | Obsidian + Codex/Claude Code = local-first second brain: “Notes before apps,” markdown files, portable structure, and agents that can navigate folders + take actions.
- 11:55 – 16:16 | Deep Research upgrade (and why marketers should care): Choosing/limiting sources, connecting tools, better audience research, and “research missions.”
- 16:20 – 23:05 | ‘Something Big is Happening’ + a hopeful counterpoint: AI disruption anxiety, vibe coding, and why costs/compute may slow adoption.
- 23:20 – 24:55 | Sponsor + giveaway: AI Business World in Anaheim, CA (late April 2026) + free ticket contest details.
- 24:55 – 30:20 | Everyday AI wins: Photo-to-document extraction, icon tweaks with transparent backgrounds, and real-estate photo enhancements.
- 30:15 – 32:25 | Polymarket: people betting against ChatGPT: The “best model by end of February” market and how fuzzy “best” is.
- 32:35 – 37:40 | Viral: ByteDance Seedance 2.0 video realism: Otters-in-Friends prompt, fight-scene realism, and predictions about AI movies.
