CONTEXT ENGINEERING: The Claude Skill That Makes Outbound Compound
I have yet to meet a founder who said their AI outbound is compounding.
Most build a campaign, send it out, get inconsistent results, and start over. Six months in, the AI knows nothing more about their business than on day one.
Take your mind back to late 2022. ChatGPT launches and everyone suddenly has an AI writing assistant. A few months later, most have quietly gone back to writing emails themselves. The output was generic. It could have been written for any company selling anything to anyone.
The founders who got real results figured out something everyone else missed: They stopped treating AI like a search engine and started treating it like a new team member who needed proper onboarding before touching anything important.
That shift is called Context Engineering. The difference between outbound that plateaus and outbound that compounds.
Generative vs Agentic AI
Every AI tool that we have used so far, ChatGPT, Gemini, the standard Claude interface, works the same way. You type something. It responds. You type something else. It responds again. The conversation ends, the tab closes, and nothing happened in the real world.
This is generative AI. It is really useful for drafting, thinking out loud, summarising.
For GTM work that involves actually doing things, pulling data, building lists, enriching contacts, writing and organising files, it has a hard ceiling. The AI can tell you what to do, but it cannot do it for you.
Truly Agentic AI is different. And with that I don’t mean ‘AI agents’ that are simply a layer over an automated workflow. Instead of responding to your messages, a real agent takes actions. It opens your tools, runs searches, creates files, fixes its own errors, and works through a task from start to finish without you babysitting every step.
The practical difference for a founding team: