MARTECH · AI · REAL EXPERIMENTS

12 years in Martech.
Now running AI experiments to see what actually works.

No theory, no hype. I rebuild enterprise martech problems — CDPs, journeys, attribution — as small AI-powered prototypes, then publish what holds up and what breaks.

See the experiments → Follow along

12

YEARS

3

PROJECTS

AEP

CERTIFIED

Mini-CDP

Journeys

Attribution

// ai_orchestration

AI pulls from your sources, executes the work, reports back

// BUILT WITH

Adobe AEP Claude API Supabase Next.js Mailchimp

// THE PROBLEMS I OBSESS OVER

Martech is full of noise. I find the signal.

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WHAT I'M BUILDING →

// THE EXPERIMENTS

POC Lab

LIVE LAB

IN PROGRESS 01

Mini-CDP with AI segmentation

A working customer data platform that ingests events, unifies profiles, and lets Claude generate audience segments from plain-English prompts.

// prompt
"High-LTV users who lapsed in the last 30 days"

            →
            generated segment
            1,284 profiles
          

DATA FLOW

Segment → Supabase → Claude AI → Mailchimp

≈ Adobe Experience Platform + AJO

Next.js Supabase Claude API

COMING SOON

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              →
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DATA FLOW

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// ASK ADITYA

Field notes from the lab.

Short writeups on what worked, what broke, and the questions I'm chewing on. New posts drop here first.

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            draft →
          

12 years in Martech.
Now running AI experiments to see what actually works.

Martech is full of noise. I find the signal.

{{ p.title }}

POC Lab

Mini-CDP with AI segmentation

{{ c.title }}

Field notes from the lab.

{{ post.title }}

12 years in Martech.Now running AI experiments to see what actually works.

Martech is full of noise. I find the signal.

{{ p.title }}

POC Lab

Mini-CDP with AI segmentation

{{ c.title }}

Field notes from the lab.

{{ post.title }}

Martech thinking, once a week.

12 years in Martech.
Now running AI experiments to see what actually works.