ATZCore

The Teammate for Solo Founders
Who Run Everything from A to Z.

Every AI action has an author.

You speak. It captures. You confirm. It registers.
Every decision traceable, every action attributable.

Antler Disrupt · HCMC 2026
See It Work
Demo · 60 seconds

From spoken intent to traceable proof. One decision, fully governed.


ATZ-20260313-0002

Speed without traceability
is a liability.

The Problem

AI agents are executing at scale. Writing code, booking suppliers, sending communications. But their decisions are untraceable, unverified, and legally exposed. The moment you can't prove who decided what, and when, you've lost more than context. You've lost control.

Status: Unverified · 02

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AI is moving into operations faster
than founders can govern.

Why Now

Three forces converged. The window is 18 to 24 months.

Signal 01
Regulation
EU AI Act is in force. Phased obligations run through 2027. AI systems must become more traceable and controllable.
Signal 02
Agent Explosion
AI is moving into operations faster than most founders can govern. Speed is increasing faster than operational memory.
Signal 03
Capital Signal
Capital is flowing into enterprise AI governance. Solo founders still have no native layer for human authorization and traceable decision history.

The window is closing. 2026 requires decision infrastructure built into the action — not applied after the fact.

Status: Escalating · 03

ATZ-20260313-0004

Nothing enters the system
without human authorization.

The Wedge · How It Works

The boundaries are defined once: as fixed decision rules, not a settings menu. That is not a feature. That is how solo operators stay in control.

Architecture Roadmap

Phase 01
Action Classification
Not every action is equal. The system will recognize the difference between an observation, a financial commitment, and a strategic decision.
Design complete · Sprint planned
Phase 02
Risk-Based Authorization
Apply governance where it matters. Routine actions confirmed with one tap. High-risk decisions blocked until human authorization is recorded.
Architecture defined · Follows Phase 01
Phase 03
Decision Intelligence
Every authorized decision builds operational context. After sufficient decision history, the system becomes a human-controlled approval layer for any domain.
Foundation active · Intelligence layer planned
Status: Initiated · 04

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Battlefield Proof

I built ATZCore because I needed it.

Status: Active · 05

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Built in 30 days. Used to prepare
this pitch. Running live.

Proof

ATZCore is not a prototype. It is an active system that registered its own architectural gaps, documented its own version decisions, and held under real operational pressure. Every document has a Trace ID. Every session has a structured report. Every decision has a recorded authorization.

Capture a Moment
Postponed first hire, validate product before headcount
Review & Authorize
Action
Postponed first hire, validate product before headcount
Project
Antler Pitch Sprint
Nothing is registered until you authorize
Registered
TRACE-20260311-1442
Action
Postponed first hire, validate product before headcount
Project
Antler Pitch Sprint
Status
Authorized
Status: Authorized · 06

ATZ-20260313-0006

The moat is accumulated
decision intelligence.

Why This Matters

Every confirmed decision adds to a verified history of your business logic. Interfaces can be rebuilt. Decision history — with traced authorizations and confirmed boundaries — compounds over time. That history becomes your most valuable operational asset.

Status: Mapped · 07

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Every confirmed decision becomes reusable operational context.

The Flywheel

The system compounds. Each Trace ID is not just proof of the past, it's context for the future.

Status: Compounding · 08

ATZ-20260316-0001

30.4 million solo founders.
No native decision infrastructure.

Market Size

One in three new startups is solo-founded. AI is accelerating what one person can do, but no tool captures, governs, or traces the decisions behind the work.

TAM
$10.6B
30.4M solo founders globally, each paying $29/mo for decision infrastructure.
Source: US Census Bureau, 2023 Nonemployer Statistics
SAM
$2.8B
~8M solo founders actively using AI tools in their daily operations.
36.3% of new startups are solo-founded · Source: Carta 2025
SOM · Year 1
$174K
500 paying users at $29/mo. Organic acquisition through content, community, and founder networks.
LTV $725 · Target CAC < $165 · LTV:CAC > 3:1
Status: Validated · 09

ATZ-20260316-0002

$29/month. Your entire business
runs through one system.

Business Model

ATZCore is not another tool in your stack. It is the layer where every decision is captured, confirmed, and made traceable. The longer you use it, the more valuable your decision history becomes.

Pricing
Free
Limited decisions per month. Basic traceability. Experience the system before you commit.
Pro · $29/mo
Unlimited decisions. Full Trace IDs. Verified decision history. Export. Decision intelligence over time.
Annual: $24/mo (save 17%)
The Gap
  • $492M spent on AI governance in 2026. 100% goes to enterprise. (Gartner)
  • Fiddler AI raised $68.6M. Arthur AI raised $63M. Credo AI raised $41.3M. All enterprise. All model governance.
  • Nobody governs the founder's decisions. Nobody builds for the person running everything solo.
  • ATZCore sits in the gap: $29/mo decision infrastructure where $0 and $50K+ are the only options today.
Status: Positioned · 10

ATZ-20260313-0008

Most AI systems fail because engineers
define the problem.

Why Me

I come from the other direction.

I'm not starting from zero. I'm starting from proof.

Pattern maker, digital designer, former legal assistant: three disciplines about what breaks when specification fails.
Built the full system solo in three weeks: while preparing this pitch, using the product itself.
I am the domain. I am also the builder. That combination is what this moment requires.
90-Day Sprint with Antler
01
Close the Demo. Open Production.
Evaluate every demo component. Keep, rebuild, or remove. Architecture first: n8n as external orchestrator, Claude as governed tool. Formalize the five open technical questions: integrity, session boundaries, state management, exact match, audit trail.
02
Build the Decision Engine
Action Classification as the first extension: categorize decisions by type and weight. Then Risk-Based Authorization: apply human authorization proportional to decision impact. Built on the working five-field parser and confidence routing that already runs in production.
03
Prove It Transfers
Second deployment outside the original context. One external pilot. The moment ATZCore transfers, it stops being a tool — and becomes infrastructure.

The foundation is built and proven. ATZCore was its own first teammate.
I need Antler for what comes next: the team, the network,
and the runway to scale it.

Status: Confirmed · 11