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Agentic engineering for performance marketing

Speed up your performance marketing and improve its payback — with a system of autonomous AI agents. First results in 30 days.

Pressure-test your channel ↗ How it works ↓
Already running Brightwill (premium real estate, US): payback ×1.5 ROMI +30%
Problem

Competitors copy your setup in days

Your creative, offer, and funnel get copied in days — faster than you can test one hypothesis. While you look for the cause, budget burns. It comes down to loop speed, not money.

0 of budget burns while you track down the cause by hand
Solution

A system of AI agents built to move one metric

Busywork agents are a commodity. Here a system of agents is built around your channel and one metric — payback. Hypotheses, landing pages, creative, qualification, analytics — one loop, one KPI. A human owns it, not a tool.

0 metric for the whole loop — payback, nothing else
Hypothesis loop

48 hours to test a hypothesis

Before~ a week

Wait for sales feedback, brief a designer and a developer — launch a week later.

Now48 H

Analyze the funnel and competitors, 5–10 hypotheses, build it (creative, landing, funnel), launch.

0 hours, not a week
Results

One approach — different markets

01
Premium real estate · US

Brightwill ↗

Expensive leads, long cycle. Agents decide whether a lead is a fit before the first touch. Decisions on each iteration come immediately, without waiting on the sales team.

payback ×1.5 ROMI +30% CPL ↓
02
Crypto bank · UK

Point Pay ↗

Narrow audience, complex product, ad accounts banned constantly. An agent pipeline kept launches going: campaigns ship in a steady stream, and the funnel widens.

LTV:CAC 1:1→3:1 no downtime
03
E-commerce · Under NDA, US

E-commerce

Short cycle, fast iterations.

ROAS +40%
04
Construction marketplace · Under NDA, RU

Construction marketplace

Agents run the whole channel — from content to operations.

contract cost −50%
Who's behind this

8+ years in performance marketing

I run media buying and agentic engineering at Brightwill

High-ticket, e-commerce, high-risk — mostly US. I've taken 10+ performance campaigns to positive ROMI. Paid traffic, organic, influencers. I lead a team of AI agents I built myself.

Claude Code Codex Hermes
Alex Hrebtenko — performance marketer and builder of agentic systems Alex Hrebtenko
Who it's for

Are we a fit

✓ Yes, if
  • your product depends on performance marketing channels
  • the payback on those channels is slipping
  • you sell to Western markets, ideally tier-one (US and others)
  • you have metrics, a CRM, and campaign history
✕ No

"Just AI hype — we'll hire a marketer for two grand."

Questions

Short and to the point

Me. Agents bring speed; the accountability is mine.
No. I'm the marketer — 8 years in performance. The agents are an execution team, not a replacement. Strategy and priorities are mine; the routine is theirs.
ChatGPT is a chat. An agency means a queue and junior staff on your account. Here one person builds a system of agents around your channel and personally owns the metric.
We'll agree on terms you're comfortable with.
A fixed build fee for 1–3 months. After that, you pay for results only.
First step

I'll show you how to speed up your channel

One conversation on Telegram, no briefs or forms. If I don't see an angle, I'll tell you straight. Next is a pilot plan.

Message me on Telegram ↗
agenticperformance.dev — agent-readable view · text/markdown
You are viewing the machine-readable version of this page. Same offer, no styling — structured so an agent can parse it. Humans read "Human" mode; agents read this one.  
# Agentic Performance — agentic engineering for performance marketing

entity:   Alex Hrebtenko · Agentic Performance
role:     performance marketer + builder of agentic systems
market:   US / high-ticket ($50–100k+)
contact:  telegram: https://t.me/stonecut · agenticperformance.dev

offer
Speed up your performance marketing and improve its payback — with a system of autonomous AI agents. First results in 30 days.

problem
Competitors copy the setup (creative + offer + funnel) in days — faster than you can test a new hypothesis. The bottleneck is loop speed, not budget.

approach
A system of AI agents built to move one metric — payback. A loop of agents is built around your channel: hypotheses, landing pages, creative, lead qualification, analytics — one loop, one KPI. A human owns the metric.

how_it_works
loop_time: 48h
before:    sales feedback → brief designer and developer → launch ~a week later
now:       analyze funnel and competitors → 5–10 hypotheses → build → launch in 48h

cases
Brightwill (premium real estate, US): payback ×1.5 · ROMI +30% · CPL ↓
Point Pay (crypto bank, UK): LTV:CAC 1:1 → 3:1 · continuous launches despite account bans
NDA · e-commerce, US: ROAS +40%
NDA · construction marketplace, RU: contract cost −50%

about
current: running media buying and agentic engineering at Brightwill
8+ years in performance marketing: high-ticket, e-commerce, high-risk, mostly US. 10+ performance campaigns to positive ROMI. Paid traffic, organic, influencers. Lead a team of AI agents I built from scratch.
stack: Claude Code · Codex · Hermes

fit
yes:
your product depends on performance marketing channels
the payback on those channels is slipping
Western markets (ideally tier-one)
metrics, a CRM, and campaign history
no: "just AI hype — we'll hire a marketer for two grand"

faq
q: Who's accountable for results — the agent or a human?
a: Me. Agents bring speed; the accountability is mine.
q: Is this "AI instead of a marketer"?
a: No. I'm the marketer — 8 years in performance. The agents are an execution team, not a replacement.
q: How is this different from ChatGPT or an agency?
a: One person builds a system of agents around your channel and personally owns the metric.
q: Access to ad accounts and data?
a: We'll agree on terms you're comfortable with.
q: What does it cost?
a: A fixed build fee for 1–3 months. After that, you pay for results only.

cta
action: Message me on Telegram (https://t.me/stonecut) — one conversation, no briefs or forms.
end of document · ← back to the human view