Stephen M AbbottApplied AI + Cybersecurity

Build what's next.Secure what matters.

I design human-governed AI systems, open security infrastructure, and polished products that turn difficult technology into useful, defensible outcomes.

08Live products
266K+CVE records indexed
08Package ecosystems
2013Building in public since

01 / Selected work

Proof lives in the product.

A working portfolio across AI agents, cybersecurity, developer infrastructure, desktop automation, and independent product experiments.

8 projects
AI systemsLive

Tiny Book Buddies AI

Turn one bedtime idea into an illustrated, narrated storybook.

A browser-based story studio that writes, illustrates, narrates, and exports children's books using the AI providers and models selected by the user.

  • 4 AI providers
  • Browser-only
  • MP4 export
TypeScriptUpdated Jul 17, 2026
GitHub views / 14d
433 visitors
GitHub clones / 14d
460157 cloners
AI systemsv2.0 available

Pro Response

Refine team messages with AI before they are sent.

A multi-provider writing assistant that rewrites, translates, summarizes, and reformats messages through Slack, an HTTP API, a command-line tool, or a Python library.

  • 14 writing modes
  • Slack · API · CLI
  • Python 3.9+
PythonUpdated Jul 17, 2026
GitHub views / 14d
112 visitors
GitHub clones / 14d
10354 cloners
Product labv3.7 available

mouseclicker.app

Portable Windows automation with record/replay and AI-generated patterns.

A configurable auto clicker for Windows with humanized cursor movement, global hotkeys, system-wide recording, replay, and cloud or local AI pattern generation.

  • ~100 KB executable
  • Windows 10 & 11
  • No installer
C#Updated Jul 17, 2026
GitHub views / 14d
226 visitors
GitHub clones / 14d
14273 cloners
Product labLive

DOGE Commerce Kit

A non-custodial toolkit for accepting Dogecoin in person or online.

A commerce toolkit for small businesses with browser wallet tools, point-of-sale checkout, payment QR codes, on-chain verification, a local order ledger, and embeddable website components.

  • No accounts
  • No processor custody
  • MIT licensed
JavaScriptUpdated Jul 18, 2026
GitHub views / 14d
223 visitors
GitHub clones / 14d
332143 cloners
Product labLive

DOGE MINER

Real Scrypt pool mining with a transparent live dashboard.

A full-stack Dogecoin pool miner implementing Scrypt on CPU and OpenCL GPUs, with live pool responses, share statistics, hardware telemetry, and on-chain wallet data.

  • CPU + OpenCL GPU
  • Windows · macOS · Linux
  • No registration
PythonUpdated Jul 12, 2026
GitHub views / 14d
356 visitors
GitHub clones / 14d
7654 cloners

02 / Services

Strategy with fingerprints on it.

Senior-level thinking paired with enough hands-on depth to move from ambiguity to architecture, working software, and verifiable results.

Available for focused engagements

AI security & operating models

Move from AI experimentation to a defensible program with explicit boundaries, human authority, evidence, and rollback built into the way work gets done.

Typical outcomes
  • AI risk and control architecture
  • Human-in-the-loop approval design
  • Agent governance and auditability
  • Practical adoption roadmaps
Best for

Leaders introducing agents into high-consequence workflows.

01

Frame

Define the real decision, boundaries, and success evidence.

02

Build

Create the smallest complete system that proves the path.

03

Prove

Test the controls, document the result, and transfer capability.

Stephen Abbott outdoors above a mountain lakeOutside the interface

03 / Profile

“Curious enough to try it.”

That line has lived on my GitHub profile for years because it is the shortest explanation of how I work. I move comfortably between strategy and implementation, follow hard questions into the details, and prefer a working artifact over an abstract claim.

The common thread across my work is governed capability: powerful systems that stay understandable, observable, and answerable to the people who use them.

04 / Start somewhere useful

Have a consequential system to design?

Bring the hard problem: a risky AI workflow, a security program that needs traction, or a product idea that deserves to become real.