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AIAP Tool Guides·Humanic AI·24:46

Humanic Deep Dive: Prompt-First Email Marketing - Multi-Email Sequences, Contacts and Cohorts, Gmail Sending, and a Five-Day Course

Akshat (surname unclear) Solo presenter using the tools as an outside user; demo brand "Better With AI"

The short version

  1. Humanic starts from a prompt: "send a newsletter regarding how AI can help you grow in career" became three emails timed now, +3 and +6 days, with variations, mobile preview, code view and spam insights (0:00-0:06).
  2. Contacts by hand or CSV, cohorts as segments, sending through a connected Gmail; the test email arrived with an unsubscribe link "in less than five minutes" (0:02-0:11).
  3. Cold outreach with brand documents, model choice (Sonnet or Opus) and voice answers; a five-day paid email course generated as one connected set and edited across all emails at once (0:12-0:24).

At a glance, three clicks deep

Skim here first: the closed row is the glance, open is the study card with the key points and timestamps, and the ↓ link drops to that concept's full write-up below.

01Prompt to campaign: a whole sequence with timingDescribe the campaign;›

Describe the campaign; Humanic asks follow-ups, writes every email with send delays, and lets you edit by instruction.

First campaign (0:01-0:06)

Course set (0:16-0:22)

Checks (0:22-0:24)

↓ Full write-up of this concept

02Contacts, cohorts and the sending identityLoad contacts (CSV needs an email column), group them into cohorts, and send from a connected Gmail or a ve…›

Load contacts (CSV needs an email column), group them into cohorts, and send from a connected Gmail or a verified domain.

Contacts (0:02-0:04)

Sending (0:07-0:11)

Domain settings (0:15)

↓ Full write-up of this concept

The concepts in full

01

Prompt to campaign: a whole sequence with timing

how-to

Writing the set together keeps "coming tomorrow" references consistent.

Edits by prompt ("reduce the content in day six email and keep everything as it is"; "make sure the author on each of these emails is written as ...") apply where asked or across the set. Insights flag spam triggers ("free", "millions", "billions"). The five-day course prompt covered AI basics, prompt frameworks, tool differences (ChatGPT, Claude, Gemini, NotebookLM), advanced Claude use and AI at work, with design instructions (Material style, Poppins, red highlights). Check with a test send, mobile preview, code mode and spam check; download HTML.

Do it in this order
Why it matters

Sequences in minutes instead of days.

02

Contacts, cohorts and the sending identity

how-to

Do not send the same email to everyone - that is what cohorts are for.

He connected Gmail by clicking through Google's unverified-app warning to allow sending, created a cohort of his own two addresses, set a sender name and activated. Custom domains need DNS records at the registrar (GoDaddy, Namecheap) - shown, not configured; deliverability, limits and pricing are not covered, and all sends went to himself on dummy data. Before cold outreach at volume, set up domain authentication separately.

Do it in this order
Why it matters

The parts that decide whether email actually lands.

Tools referenced

ToolCoverageMomentContext
Humanicdemonstrated
Gmaildemonstrated
PostHogmentioned
Wispr Flowmentioned
Claude Sonnet 4mentioned
Shopifymentioned

Session materials

Archived locally on V: — click to open. Companion pages link to the LMS.

Action items

    Resources mentioned

    Resources
    • docLesson page on the platform

    Extraction notes

    This page was built from an auto-generated transcript, which garbles product and people's names. Those were corrected silently in everything above and logged here for transparency. The warnings flag claims that were true on the recording day but change fast.

    Transcript corrections applied

    The transcript saysThe trainer actually means
    umani / Humanix / the moneyHumanic
    post hocPostHog
    WhisperflowWispr Flow
    cloud co-work or cloud codeClaude Cowork or Claude Code

    True on recording day — verify before relying