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Building the Post SaaS Era

Agentic AI
Systems Architect.

I build agentic AI systems that multiply human capability. I help businesses eliminate manual data entry across CRMs, intake, documents, and back-office operations.

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✓ No commitment    ✓ Confidential architecture review

The Origin

From directing operations to
architecting AI.

I didn't start in a computer science lab. I started in B2B sales and operations. I learned exactly how businesses bleed money before I learned how to automate them.

The Business Pain

Climbed from Sales Manager to Managing Partner. Led 30-person teams and realized the hard truth: scaling a business purely by adding human headcount to do manual data entry is a logistical nightmare.

Operations Scaling

The Frontier AI Era

Pivoted to deep tech. Operated as an adversarial evaluator benchmarking 13+ pre-release models for OpenAI, Google, and Meta. Learned exactly how frontier models reason, fail, and execute complex logic.

OpenAI / Google Evaluation

The Architect Phase

I combined hardcore business operations with frontier AI capabilities. Now, I don't just recommend software. I architect native, autonomous pipelines that permanently remove repetitive work from your business workflows.

Autonomous Infrastructure
Deployments

Recent architecture.

No pitch decks. Just working systems driving real business outcomes.

Legal Ops Architecture Deployed

Custom architecture that automates law firm client intake, contract OCR, and Clio Manage CRM synchronization. Reduces manual paralegal data entry to zero, elevating humans strictly to a review and approval role.

Claude OCR Make.com Orchestration Clio Sync
gapfeed Live Engine

Market gap intelligence. Autonomous agents monitor sources across the internet, classify pain signals by urgency and buyer intent, cluster them into actionable intelligence, and publish a clean feed without human intervention.

189K+ signals 7 data sources 5 parallel agents
gapfeed.com →
Elitza Framework Alpha Framework

My custom-built autonomous AI system. A multi-agent framework featuring persistent long-term memory, infrastructure management tools, and deployment script capabilities.

Memory Architecture Tool Registry Python Shell
The Offer

Systems Implementation

Two implementation tracks built specifically to multiply the reach of your existing team.

Workflow Repair & API Orchestration

For businesses already running HubSpot, GoHighLevel, Make, Zapier, Airtable, Lawmatics, or Clio. I step in to audit broken pipelines, fix token limits, and inject intelligence into existing workflows.

Agentic Layer Workflow Repair
CRM API hooks Make/Zapier audits

Custom Agent Shells

For complex workflows where standard SaaS solutions fail. I build bespoke, fully autonomous agents equipped with long-term memory, secure permissions, and the ability to execute multi-step tasks without human hand-holding.

Custom Build Full Autonomy
Memory state Secure execution

Human Capability Multiplication

The end state: humans handle judgment, exceptions, and strategy. The systems handle data extraction, routing, database updates, and routine execution.

Automation Reliability
Zero data entry Human oversight loops
The Methodology

How we deploy autonomy.

A rigid, business-first approach to integrating AI. No vanity metrics, just operational leverage.

Phase 1
Diagnostic & Bleed Analysis
We map out your current operational workflows. We locate exactly where high-paid human capital is being wasted on repetitive data routing, extraction, and formatting.
Phase 2
Systems Architecture
Designing the optimal agentic layer. We decide whether your problem requires a lightweight Make.com API orchestration, or a bespoke Python agent shell with persistent long-term memory.
Phase 3
Agent & Tool Deployment
Building the pipes. We connect frontier models (Claude 3.5, GPT-4o) directly into your internal databases, CRMs, and email clients using strict, secure permission boundaries.
Phase 4
Handover & Human-in-the-Loop
We train your team to operate the new system. Humans are elevated from "doers" to "reviewers." The AI extracts and routes the data; your team simply clicks "Approve."

Open Source & Resources

For builders, developers, and solo operators: I open-source my personal agent frameworks and provide ready-to-use profiles.

Install OpenClaw Agent Profile Store
From the Blog

Architectural notes.

Deep-dives into systems engineering, AI evaluation, and business operations. No fluff.

Architecture

Kill The SaaS Tax: Building Autonomous AI Agents Natively.

You are paying $300/mo for AI wrappers. Here is the blueprint to bypass the paywalls and run unrestricted agentic workflows directly via API.
Evaluation

What I Learned Evaluating 13 AI Models for Big Tech

After testing pre-release models for OpenAI and Google, here are the three patterns that dictate whether an AI tool will succeed or fail in your business.
Case Study

The Multi-Agent Architecture for Legal CRM Intake

How we eliminated paralegal data entry by passing client intake forms through a two-step Claude OCR and Make.com validation loop.
Operations

Why Your Make.com Automations Keep Breaking

A technical guide to implementing error handlers, fallback webhooks, and state management in complex B2B automations.
View all technical writing →

Follow the build.

I write about building autonomous systems and B2B automation. No spam. Just raw notes from the process.

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