Six layers. One operation. Each layer compounds the next.
Dynamic Ad is the AI marketing operating system. Six layers (Infra, Intelligence, Strategy, Ad Engineering, Optimization, Analytics) run as one operation on one signal contract. The founding team owns every approval; six coordinated agents run the cadence. The agency labor-cost model is the legacy; the algorithm is the asset.
Live targeting · Tailored experiences · Algorithm‑led
The structural shift
Six layers, running as one operation.
The marketing stack was built siloed across separate teams, tools, and reporting lines. Dynamic Ad collapses those six layers into one operating system on one signal contract.
Capital posture
Funded by operating revenue. No outside capital.
The desk runs lean on retained billings, not a runway. Clients pay for outcomes; the algorithm covers the headcount we did not need.
Live deployments
Two anchor engagements. Both on the record.
One Lead OS deployment in a trust-driven B2B vertical. One Commerce OS deployment in boutique hospitality.
We collapse the marketing supply chain into a single operating loop.
Intelligence, strategy, creative, infrastructure, optimization, and analytics share one signal flow, one cadence, one named operator. Each cycle compounds the last. Targeting grows more precise, the buyer’s experience composes continuously, and the return reads against your own baseline.
Always on · Algorithm‑led · Human‑approved
The market just outgrew the agency model. The supply side has not caught up.
Why this is a category, not an agency.
The marketing budget is moving to algorithm-led spend faster than the people who can defend it can be hired. The operating system is the response, not another agency-of-record cycle.
$833B
Global ad spend, 2025
The market on which the operating system runs.
Dentsu Global Ad Spend Forecasts, Dec 2025
81%
Algorithmic media by 2028
Share of paid spend executed by automated bidding and creative systems.
Dentsu Algorithmic Buying Outlook, 2025
74%
Can't actuate their own data
Share of marketers who say their data does not reach the platforms that need it.
Funnel State of Marketing Data, 2025
What compounds across cycles
Three defensibility layers, building.
Layer 01
Agent-coordination patterns
Six agents, one signal flow. The handoff contracts between layers are the IP. Hard to copy because they were written from operating reality, not theory.
Layer 02
Infra data flywheel
Every engagement adds priors to the next: tested creative axes, audience segments that converted, channel-confidence weights. The next client starts where the last one left off.
Layer 03
Ad-engineering testing infrastructure
Hypothesis ledgers, kill criteria, variant graphs. The discipline runs at algorithm-grade velocity because the testing infrastructure was engineered before the first concept shipped.
The team is the system. By design.
One operator, one context, a fleet of AI agents, and HITL approvals at every automated action. That is not a limitation. It is the product.
01
The founding team
A small operator desk. Owns every approval, sets strategy, handles client calls. Named accountability on every decision that matters.
02
Six AI agents
One agent per layer. Intelligence, Strategy, Creative, Infra, Optimization, Analytics. Algorithm-led execution at a pace no headcount model can match.
03
HITL approvals
Every automated action routes through operator review before it reaches the platform. Human judgment on strategy and approval, machines on execution.
The operator behind Dynamic Ad.
One named operator. One operating context. A decade of enterprise acquisition experience, deployed as the system.
Amit Harari
Founder · Dynamic Ad
Operating thesis
Marketing stops being a cost center the moment its six layers operate as one connected system, measured on ROI instead of labor hours. AI agents make that possible at last: they govern qualified data, compound learnings across cycles, and execute continuously in a way human-run accounts cannot match. Campaigns that run on this loop predict, react, and outperform on every metric a human-run operation reports against. Dynamic Ad is that operating system, deployed.
Amit is the operator behind Dynamic Ad. The thesis was engineered across a decade of building BI and acquisition analytics inside publicly listed US and EU companies, including Payoneer, American Water, OurCrowd, and Cole Haan. That vantage, the same signal flow read across enterprise acquisition accounts at scale, is what produced the conviction that a connected, agent-run operation could compound growth at a velocity no traditional model can match. The operating system is the execution of that conviction.
The operation is the product. Each layer earns its place.
Each layer is a distinct operating discipline with its own deliverables. They share one signal flow, so learnings compound across layers rather than sitting in siloed reports.
Infrastructure
The substrate every layer compounds off. Tracking, CAPI, feed, and data plumbing that runs before any campaign starts.
Intelligence
ICP definition, audience segmentation, and competitive signal reading. The operation cannot be smarter than its inputs.
Strategy
Channel-confidence tiers and kill criteria written before launch. A plan that names what it will retire, not just what it will run.
Ad Engineering
Creative production at algorithm-grade volume. Hypothesis-first variants, not intuition-first briefs.
Optimization
Continuous reweighting of budget and creative against attribution-adjusted signal. The loop that makes every layer smarter.
Analytics
One dashboard. One number to decide against. Baseline-anchored, not platform-reported ROAS.
The same six layers compose two flagship engines.
Questions about Dynamic Ad.
What is Dynamic Ad?
Who is behind Dynamic Ad?
Where is Dynamic Ad based?
Why build this now?
How does the six-layer model work?
See the operation in action.
Always on · Algorithm‑led · Human‑approved
Thirty focused minutes with one of the founders. The desk reviews your account against the operating system and tells you which entry point fits your stage.
Dynamic Ad · The founding team