What we ship, what we learn, what works. No fluff, no funnels — just the marketing playbook for people who'd rather be building.
Three days after shipping the schema and entity-graph work, Google's AI Mode started citing VibeFlow as a source for our own brand-name queries. Correlation, not causation — but the receipt arrived faster than I expected.
Read post →Five rounds of prompt engineering taught me that telling a fast LLM not to fabricate doesn't work. Here's the architecture that does — a deterministic check plus a Sonnet cleanup pass on every generation.
Read post →Google made AI Overviews the default. The old SEO playbook still works — but it stopped being enough. Here are the five changes I shipped at VibeFlow this week, the playbook for any founder staring at the same problem, and what I'm watching next.
Read post →Nine agents. Five connective layers. A free tier with no card. The marketing operating system built for founders who already have a voice.
Read post →Teach VibeFlow your voice on day one by feeding it the work you've already published. The four-generation cold-start valley, closed.
Read post →Most AI tools force regenerate-everything. We ship the middle path — tweak one section, keep the rest, no credit cost.
Read post →Most AI marketing tools forget everything after one prompt. VibeFlow's Learning Engine remembers — and gets smarter with every campaign you ship.
Read post →I built an SEO agent and made it audit my own site. Real fixes, fabricated stats, and the moment I realized the tool was fine — the eyes were broken.
Read post →A pre-launch status report from VibeFlow Day 18 — what shipped, what friendlies caught, what's coming next, and why the loud part isn't the work that matters.
Read post →What the VibeFlow Marketing blog is, what to expect from it, and a quick note on what I'm building (and the build-in-public habits behind every post).
Read post →
