Available for new systems

I build the private tools teams wish existed

I design AI-assisted workflows, low-code automations, browser tools, and internal systems that turn messy processes into fast, controlled, human-in-the-loop products.

AI automation Private internal tools Low-code systems Browser workflows Human-in-the-loop AI orchestration
private-ops · dashboard
Overview
Ingest Queue
AI Review
Validation
Actions
306 processed today
98.4% accuracy rate
3 min avg cycle time
context-ingest
metadata-map
ai-handoff
human-review·
validation queue
sync actions
workflow-architect.js running
Hours → Minutes! Repetitive manual loops redesigned into fast automated pipelines
🧠
Human-in-the-loop AI Every system preserves final judgment for the person who owns the decision
🔒
Zero-friction Solutions Interfaces teams actually use, no training deck required
Modular, not fragile Systems built as inspectable modules, not one-off scripts no-one can maintain

I build AI orchestration systems to remove workflow friction

Most repetitive operations hide the same drag in small steps: finding the right context, moving it into another tool, checking the result, then syncing a decision back into the workflow.

I build systems that make that loop structured, inspectable, and human-approved. Context gets routed cleanly, AI assistance stays visible, and verification becomes a control layer instead of another manual checkpoint.

01 Route Context Collect the right inputs without making people chase screens.
02 Coordinate AI Handoffs Turn messy context into structured, inspectable assistance.
03 Verify the Action Keep final decisions fast, visible, and human-approved.

What I actually build

Eight areas where messy operations become controlled systems.

AI Workflow Orchestration

Designing structured AI handoffs that support human decisions instead of replacing them.

AIOrchestration

Low-Code Automation

Building practical automations across forms, tools, files, and operational handoffs.

MakeZapierLow-code

Browser Workflow Systems

Creating browser-based assistants and extensions that live where the work already happens.

ChromeExtensions

Metadata Aggregation

Turning scattered fields, files, and context into structured operational intelligence.

PipelinesStructure

Review and QA Tooling

Reducing repetitive review labor while keeping judgment, traceability, and control intact.

QAHuman-in-loop

Internal Dashboards

Designing clean private interfaces for teams, operators, and reviewers.

UI DesignGlassmorphic

Human-in-the-loop AI

Keeping AI outputs inspectable, reversible, and accountable at every decision point.

ExplainabilityControl

Process Design

Mapping messy real-world workflows into systems people actually want to use every day.

MappingProduct thinking
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Some of the best tools cannot be public

Sensitive workflows need careful systems: scoped access, clean audit trails, and human approval at every decision point. The value is simple: safer execution without slowing the team down.

AI-Orchestrated Review Workflow

A private automation system designed to aggregate operational context, coordinate AI-assisted reasoning, validate structured metadata, and keep final decisions under human control. I architect these workflows end to end so AI becomes a reliable operating layer, not a risky shortcut.

Raw Input
context ingest
Mapping
metadata map
AI Handoff
structured prompt
Human Review
final decision
Sync Action
controlled output
[TASK] Review Queue Snapshot
Manual Open. Copy. Paste. Retry.
PSD
Source File font metadata · v3_FINAL
XLS
Review Log metadata export · 247 rows
TTY
Field Entry
font_weight:
Decision awaiting correction
blocked
Automated Ingest. Parse. Verify. Ship.
Context Ingest source + log + brief
Metadata Map required fields · structured
AI Verdict structured evidence grid
Sync & Approval correction patched · queued
✓ approved

From messy workflow
to private product

01

Map the Human Workflow

Before any code, understand what people actually do. Where does time go? Where do errors creep in? What decisions require judgment versus pattern recognition?

02

Identify Automation Leverage

Find the loops, the copy-pastes, the manual checks. Separate what AI can accelerate from what needs human eyes. Design the boundary carefully.

03

Build Controlled AI Handoffs

Structure prompts to return machine-readable outputs. Add validation layers. Keep the human review step visible, fast, and never optional.

04

Ship Polished Internal Tools

Deliver as a real product: clean UI, clear state, good error handling. Something the team will open every day without being asked.

Built in modules
Not fragile scripts

Every private tool starts as a map of the human workflow. The system is then broken into small, inspectable modules: context, validation, AI handoff, human review, and final action.

context-ingest.js 2.4 kb
metadata-map.js 3.1 kb
ai-handoff.js 1.8 kb
validation-loop.js 4.2 kb
human-review.js 2.9 kb
sync-actions.js 1.6 kb
core.js is ready to load modules

Where the Work
actually happens

Not a keyword dump. A map of where the action is.
Jargon not your forte? Click the cards to see in plain terms...

The work behind the work

Automation Systems Designer Ongoing

I design and build private tools for repetitive operational workflows, combining AI reasoning, low-code automation, browser-based interfaces, and polished product design. Work delivered under NDA across internal tooling and review systems.

AI handoffsBrowser toolingInternal products
Metadata & Review Tooling Specialist Private clients

Designing review interfaces and metadata pipelines that reduce manual labor in high-volume QA environments. Built validation logic and AI-assisted review steps that keep human reviewers fast, accurate, and in control.

MetadataQA systemsHuman review
Internal Tools Builder Freelance

Building the small, specific tools that operations teams never get from product roadmaps. Chrome extensions, automation dashboards, structured output validators, and context aggregation panels.

Chrome extensionsDashboardsContext systems

Ready to build something amazing?

I build the kind of internal systems teams wish already existed: calm interfaces over messy work, AI where it helps, and human judgment where it matters.