The AI Crypto CMO Stack

// JUDGMENT LAYER

Operator-grade rules applied on top of every model output.

// 01 — RESEARCH & INTEL

Perplexity Nansen

Real-time competitive monitoring. On-chain wallet behaviour.

// 02 — CONTENT PRODUCTION

Claude ElevenLabs

Long-form drafts, positioning docs, email sequences, structured briefs. Multilingual audio for community ops.

// 03 — COMMUNITY OPS

Telegram tooling Discord tooling

Community pulse, KOL outreach shortlist, narrative tracking. Where most crypto marketers either over-automate or under-engage.

// 04 — PAID ACQUISITION ANALYTICS

Dune Analytics

On-chain attribution dashboards. The only post-acquisition behavioural layer no off-chain stack can replicate.

// 05 — EXPERIMENTATION

PostHog

Product analytics, feature flags, A/B testing across web and app. Self-hostable for teams that need behavioural data without handing it to an ad platform.

// 06 — REPORTING & SCRIPTING

Cursor

Internal data pipelines, automation scripts, custom reporting interfaces. At solo-operator scale, this eliminates the engineering dependency that used to gate every custom tool request.

// INSTALL

Install the stack.

Shipped as a Claude skill. Works in Claude Code, Cursor, and any agent supporting skills.

$npx skills add jukkablomberg/northpoint --skill crypto-cmo-ai-stack

Source: github.com/jukkablomberg/northpoint

// JUDGMENT LAYER

Five rules.

If AI output reads as generic to a native crypto user in 3 seconds, kill it — don't edit it.
Every AI-drafted piece gets one human-only contrarian pass before shipping.
Never let AI write the first 20 words of anything.
Volume is not a strategy. Ship less, with higher conviction.
AI output inherits the quality of the brief, not the model.

// NOT FOR AI

Three things we don't automate.

Crisis comms — first draft. The first words from the brand decide whether trust survives. Competent is the wrong register.
Founder-voice content. The slightly-off sentence, the unhedged opinion — the signal a human with convictions wrote this. AI corrects them out.
Taste calls on community health. In-group or cringe, signal or noise — pattern recognition only built by being inside the communities.