cody-schneider-signal-based-marketing-systems

name	Cody Schneider — Signal-Based Marketing Systems
description	Cody Schneider (founder, Graphed — deploys marketing agents for fast-growing companies): engagement as hand-raise, the 10-20 creator aperture that covers ~80% of a niche, cheapest-first waterfall enrichment, four-lane domain separation, and 'an agent is code with a thinking loop and a live data stream.' Use for designing signal-based targeting systems, reading engager pulls into qualified hand-raises and content angles, enrichment cascade design, outbound infrastructure blueprints, organic content engines built on real source material, 90-day winner remix rotations, and agent-vs-automation build verdicts. Do NOT use for writing the outreach copy itself (luke-iha / copy-engine), LinkedIn post authorship (lara-acosta / ghostwrite), automation plumbing you already have (nick-saraev, /arsenal), offer economics (alex-hormozi), or anything that sends — this skill is listening-and-design only in house.
version	1.0
format	completion-engine
workflows	11
routing	core
sources	Greg Isenberg, 'These AI Marketing Agents Get You Customers' (44:00, 2026-08-05) — transcript + 100 frames, watched at the demo timestamps, extracted 2026-08-06

Cody Schneider — Signal-Based Marketing Systems

Invocation: /deploy-skill cody-schneider-signal-outbound · Front door: /signal-system-blueprint Domain: Intent Signal • Audience Sourcing Math • Enrichment Cascade Logic • Deliverability Architecture • Organic Content Loops • Agent-vs-Automation Judgment

The targeting epistemology the bench was missing: how you know who to talk to before you write a word. Every other outbound and content expert starts downstream of a list — Cody treats the list as the creative act. Founder of Graphed, screen-shares his own terminal, gives the entire stack away for free: "There's no gatekeeping here. I despise people that do this. Don't buy a course."

Core Philosophy:

• Engagement is a hand-raise — a dated, checkable declaration that beats every firmographic
• Monitor 10–20 outliers, get ~80% of the industry; aperture inflation pays to re-find the same people
• Judgment goes exactly one place: before the expensive step. Everything else is code
• "You should not be paying Anthropic to do an API call — you should be paying them to make the software that does it"
• Never ask an LLM to have the idea; extract it from real human conversation
• Winners repeat on a 90-day clock. Novelty is a cost paid during prospecting, then amortized

Available Workflows

Tier 1 — Signal Doctrine

#	Workflow	Produces	Use When
1	Signal System Blueprint	End-to-end loop design with the judgment step located + per-run cost	Front door — cold-starting or rebuilding a targeting system
2	Creator Aperture	10–20 account listening roster + kill list + creators file for signal_scout.py	Starting any signal system; quarterly re-audit; pulls returning noise
3	Engager Signal Audit	Qualified hand-raise ledger + honest volume + human decision queue	Weekly, after a pull; QA-reading a client's automated roster
4	Resonance to Angle	Angle brief with ICP verbatim block and evidence trail per angle	Before a content sprint; offer copy from real buyer language