One Marketer, Five AI Agents
TeachMe.to · Growth Marketing Manager · 2026
Summary
Ran the scope of a full 5-person growth team solo by building a stack of AI agents across the funnel — media buying, creative, analytics, outreach, and web. Lived in Claude daily, continuously extending the Meta agent and running the analysis that drove the results.
Key Results
Featured Work
Screenshots coming soon.
The Five Agents
Media Buyer — Meta Marketing API automation in Python, extended daily — bulk 200+ ad-set deploys, creative uploads, audience creation, and budget management with rate-limit handling and resume logic.
Creative Producer — An automated pipeline generating composited Feed (1080×1080) and Stories creative — AI-generated backgrounds, coach-avatar overlays, dynamic star ratings, and venue-specific copy — collapsing production from hours to minutes.
Analyst — A custom-built UTM dashboard tracking performance per creative and per campaign (CTR, CPA, conversions) on PostHog, BigQuery, and Metabase — with closed-loop first-touch attribution, geo-waste detection, and a halo model.
BizDev — An autonomous outreach agent — Claude-qualified creator prospecting across 90+ metros and 15+ sports, plus a net-new DTC brand-partnership channel built on a zero-integration, fixed-CPA gift-with-purchase model.
Web / CRO — 20+ dynamic geo-expansion landing pages, a full-funnel onboarding quiz with sales-qualified-lead hand-off, and seamless checkout prototypes — built with Devin.
What Was Delivered
Python Meta Marketing API automation suite
Automated Feed + Stories creative pipeline
Self-serve per-creative / per-campaign dashboard
Autonomous creator + brand outreach system
Full-funnel quiz + 20+ dynamic landing pages
Closed-loop attribution + halo model
Impact
- Ran full-funnel growth solo — the output of a 5-person team across paid, creative, analytics, partnerships, and web.
- Collapsed creative and outreach cycle times from days and hours down to minutes.
- Stood up two net-new channels (creator affiliate + DTC partnerships) plus a qualified-lead quiz funnel.
- Built the measurement layer that corrected a 15–30% attribution miscount and reallocated wasted spend from zero-return metros.
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