AI — the operating layer

Some people build with AI.I grow next to it.

This page isn't an ad for AI. It's how I work: fourteen years of growth judgment — positioning, segmentation, marketing operations, pipeline — now operationalized and run at machine speed. The expertise came first. AI is what it runs on.

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AI makes me faster at doing what only I can do.

Human — decides

Judgment

The call. The angle. The no. Fourteen years of launches, misses, and exits deciding what is worth doing at all.

Machine — executes

Speed

The pull. The draft. The loop. Research, data, builds, and reporting executed in hours instead of weeks.

Output: verified work, shippedNothing ships unverified — my tap is the gate

The split

What only I can do — and what AI accelerates

Two columns, one operator. The left side is the career. The right side is what the career now runs on. Confusing the two is how AI work goes wrong.

What only I can do

Stays human
  • ◆
    Judgment

    Knowing which lever actually moves the number — and which ones are theater dressed up as strategy.

  • ◆
    ICP instinct

    Fourteen years of pattern recognition on who buys, who churns, and why. It lives in scar tissue, not in a prompt.

  • ◆
    Positioning

    The angle that makes a market stop and care. Taste is the one input that can't be generated on demand.

  • ◆
    Offer design

    Structuring the deal so the right people say yes, for the right reasons, at the right number.

  • ◆
    Market reading

    Knowing what the data isn't saying — the read that only comes from launches, misses, and exits you've personally owned.

  • ◆
    Accountability

    A person owns the result. My name is on the work, and the work answers to me.

What AI accelerates

Runs at machine speed
  • ▸
    Research synthesis

    Weeks of market, competitor, and customer reading compressed into briefs I can verify in an afternoon.

  • ▸
    Data pulls & hygiene

    CRM pulls, deduplication, enrichment, and cleanup across HubSpot, Salesforce, and Marketo — in hours, and kept clean.

  • ▸
    Segment builds

    ICP definitions turned into working segments, lookalikes, and suppression logic inside the stack, fast.

  • ▸
    Variant generation

    Ten angles drafted so the one with judgment behind it wins — hooks, sequences, pages, subject lines.

  • ▸
    QA & verification

    Claims checked, numbers reconciled, links tested. Nothing crosses the line on a model's say-so.

  • ▸
    Reporting & iteration loops

    Dashboards read as they move. What works gets scaled, what doesn't gets killed — this week, not next quarter.

⬢

The split is the point. AI never gets the final say. Every output — a segment, a sequence, a number in a report — crosses my desk and gets verified before it ships. Speed without a gate is just faster mistakes.

The operating loop

Same loop I've always run. Compressed.

Think, build, ship, measure, learn — that's not an AI workflow, it's an operator's workflow. AI doesn't change the loop. It changes how long each turn takes.

STEP 01

Think→

Strategy first. The thesis, the audience, the bet — that's mine. AI pressure-tests it against more signal than one person can read.

Days of research → an afternoon of verified synthesis

STEP 02

Build→

Segments, sequences, and systems assembled inside the tools I already run — HubSpot, Salesforce, Marketo, Apollo — not weeks of handoffs.

Weeks of build-out → hours in the stack

STEP 03

Ship→

Campaigns and pages launch with QA built in. Every claim checked, every link tested, before the tap that sends it.

Launch checklists → verified before it moves

STEP 04

Measure→

Pipeline and conversion read as they move. No waiting for the monthly report to find out what's true.

Monthly reporting → a live read on the number

STEP 05

Learn

Every result feeds the next test. The loop tightens, the system gets smarter — and the judgment compounds.

Every cycle → the next bet starts informed

Core lanes

Where the leverage lands

Not side projects, not experiments for their own sake. These are the disciplines I was hired for long before AI — each one now multiplied.

LANE 01

Growth Strategy

Positioning, GTM design, and knowing which growth lever a business actually needs next — the call that decides whether the work matters at all.

How AI multiplies it

AI pressure-tests the plan before the bet is placed: scenarios, objections, and competitor moves mapped against more market signal than one operator can read alone.

LANE 02

Marketing Operations & Martech

The systems layer — HubSpot, Salesforce, Marketo, Segment — and the integrations that keep lifecycle data clean from first touch to closed-won.

How AI multiplies it

The plumbing runs at machine speed: field mapping, workflow drafts, data cleanup, documentation. The stack stays an asset instead of becoming a swamp.

LANE 03

Segmentation & ABM

Defining the accounts and people actually worth pursuing — and the specific message each segment hears when it matters.

How AI multiplies it

Lookalikes, intent signals, and account research at a scale no analyst week could cover. Then I cut the list to the ones that matter.

LANE 04

Lifecycle & CRM

Journeys that move people from first touch to customer to advocate — and catch them before they quietly churn out.

How AI multiplies it

Every stage gets drafted, personalized, and monitored, with the leaks flagged while there's still time to fix them.

LANE 05

Pipeline & Analytics

Reading pipeline honestly: where it leaks, what's real, what's theater, and what to do about it this week.

How AI multiplies it

Reporting that used to take a week assembles itself. I spend the time on the decision instead of the spreadsheet.

The record underneath

The judgment came first

$350M+

Annual pipeline supported
Launch by NTT DATA

40%

Lead-to-deal conversion lift
ABM programs, with sales

$25M+

New revenue closed
Engineered ABM programs

$1M+

ARR in Year 1
Tixxy — founder & head of growth

AI didn't produce these numbers. Fourteen years of operating did. What's changed is the leverage underneath the same judgment — the research, builds, and reporting behind results like these now move at machine speed.

Principles

How I hold the line

PRINCIPLE 01Judgment stays human

Tools propose. I decide. The moment the machine makes the call, the work stops being mine — and stops being accountable.

PRINCIPLE 02Speed is a strategy

The operator who learns fastest wins the quarter. AI is how the learning loop runs daily instead of monthly.

PRINCIPLE 03The tool is a week to learn. The judgment is fourteen years.

Anyone can rent the software. Nobody can rent the scar tissue — the launches, the misses, the exits — that tells you what to do with it.

PRINCIPLE 04Verify before it ships

AI output is a draft until it's checked. Claims, numbers, links — everything gets verified, and my tap is the gate.

PRINCIPLE 05AI is leverage, not the product

Nobody hires me for prompts. They hire the outcome — pipeline, conversion, revenue — and AI is how I get there faster.

Work with me

Want this leverage on your number?

If you need growth that moves at this speed — with a person accountable for every call it makes — that's the work I do.