“Here’s a new episode of The Reddy Rundown, crafted so you don’t have to frantically follow everything in the AI news space wondering what you are missing as an exec in 2025 trying to keep up.” I’m Shawn Reddy—CEO of AI Advantage Agency. At my core, I’m a marketing architect who happens to be obsessed with systems. The news matters to me when I can wire it into a funnel, compress cycle time, or lower CAC. That’s the lens here. 1. Search Isn’t “Search” Anymore—It’s Answer Surfaces ChatGPT, Perplexity, and now dedicated AI browsers (Comet, OpenAI’s rumored variant) are eating real query share. Google pushed ads into AI Overviews. Translation: your “SEO vs. PPC” spreadsheet is out of date. My move: I’m rebuilding content into “AIO packs”—structured FAQs, schema, short-form explainer copy, and assets that are easy for models to cite. If the model can’t quote you, you don’t exist. 2. OpenAI’s Agent Gets Its Own Computer OpenAI just dropped an agent that can browse, code, and ship assets inside a sandboxed VM. Benchmarks are cute; what matters is latency from brief → deployed creative. My take: I’m mapping which campaign steps can be fully handed off (research, first-draft copy, QA checks) and where I still want a human eyeball (brand voice, legal landmines). The system is the moat, not the prompt. 3. The Poach-and-Return Saga (Anthropic ⇄ Cursor) Is a Warning Shot Two Claude Code leaders bounced to Cursor and snapped back in days. Fun drama, but here’s the operational lesson: vendor stability is a risk variable. What I’m doing: I’m tagging every critical agent step with an abstraction layer—so if I have to swap Claude for Sonnet or vice versa, the pipeline doesn’t implode. Don’t marry tools; marry interfaces. 4. Meta Quietly Moved the Goalposts on Advantage+ Meta now forces an advantage_audience declaration. Broad targeting isn’t dead, but the algorithm wants your guardrails defined. Action: We rewrote our audience templates in code, not in ad ops folklore. Compliance exclusions and must-include segments live in Git, not someone’s brain. 5. YouTube’s “Authenticity” Crackdown Hits AI Slop New policies went live mid-July: flag synthetic content or risk demonetization. For brands, clarity beats paranoia. Play: We front-load a human intro (“I’m Shawn…”) and maintain a disclosure line in the description. Stock credits and sources? Still there—because review teams are checking. 6. EU AI Act Timers Start Ticking General-purpose AI providers have transparency and risk requirements due in 2025. If your stack touches EU data (hint: it does), you’ll need disclosures, opt-outs, provenance trails. Prep: We’re inventorying every model in the go-to-market stack and wiring in a lightweight logging layer for data lineage. Easier to do it now than retroactively under a regulator’s flashlight. The Thread Through All of This Marketing is now a systems sport. The creativity still matters, but the throughput—the ingestion → reasoning → creation → deployment loop—is the advantage. Every headline above either breaks an old loop or levels up a new one. See content credentials Tools I’m Actually Touching This Week (and How a Marketer Uses Them) OpenAI ChatGPT Agent (VM mode) — Autonomous browsing/coding/export in a sandbox. Use it to spin drafts, run schema/QA checks, and push assets to Webflow/Git with a human approval gate. Perplexity Comet Browser — AI-first browser with inline citations and sponsored answers. Use it to track “answer share” on branded queries and test sponsored responses vs. classic PPC for intent terms. v0.dev — Rapid UI/internal tool generator. Use it to whip up dashboards for agent success %, attribution integrity, and funnel health without waiting on engineering. LangChain (accelerating after fresh funding) — Framework for orchestrating multi-tool agents. Use it to standardize prompts/data loaders across campaigns and hot-swap LLMs without re-plumbing everything. Claude Curriculum / Artifacts — Structured reasoning with live, shareable artifacts. Use it to auto-run brand/compliance QA checklists and keep human-readable proof for audits. Make + Zapier hybrid flows — No-code glue for ops teams. Use it to route agent outputs to Slack for review, auto-tag creative in Drive, and sync performance back to CRM events. Lightdash + PostHog — Open analytics + product analytics stack. Use it to tie agent-created assets to revenue events and see which prompts/flows actually move LTV. ElevenLabs Projects — Scalable, human-like voiceover management. Use it to generate regional VO variants for ads while staying inside YouTube’s “authenticity” rules. What I’m Watching Next • Will Apple or Samsung preinstall an AI browser? That’s distribution rocket fuel. • How fast do regulators demand watermarking/transparency in ads? (Plan for it; don’t fear it.) • Which attribution model replaces last-click when SERPs and browsers are doing the stitching? I’m testing hybrid position-based + time decay tied to agent events. Looking for a community of like-minded individuals who are interested in AI and Entrepreneurship? Join our free community here to get started: The AI Advantage Community Thank you for reading! -Shawn