~/claude-code · usage evidence

16 projects. 10 marked deployed. nearly 20,000 commits.

Public registry and commit snapshot as of July 13, 2026. Project status is not presented as customer, revenue, or reliability proof.

View Live EcosystemView Production ProofAbout Travis Eric

the open-source kit

The part of how I work that transfers without me in the room

You are using Claude in the terminal and you can feel that someone else gets more out of it than you do. Your site says everything and lands nothing. Your sessions end with work you cannot find the next morning. Claude tells you something is done and it is not.

Install the kit and your agent starts asking which rung of done it has actually proven, refuses to commit a secret, closes a session with a handoff you can resume, and reads your homepage the way a stranger does in the first five seconds. Eight skills, three guard hooks, and the two short documents I would hand anyone: the seven ways an agent fakes verification, and how to write a page a tired reader understands.

/plugin marketplace add Traviseric/best-practices
/plugin install best-practices@traviseric

Or clone the repo and tell Claude: install the best-practices skills, audit this project, and run the clarity gate on my homepage.

Get the kit on GitHubThe free course that narrates the foundationsHave me run it on your pageBring it into your company

What stays out of the free kit: the overnight autonomous runner, fleet-scale worktree discipline, the skill-authoring loop, the client Business Brain, and mining your own transcripts to see your own prompting style. Those transfer only when I apply them to your thing, which is the consulting work. The kit now also carries seven short philosophy entries on the model itself and eight skills.

the reality

From copy-paste to shipping while asleep

Before Claude Code, I was copy-pasting from ChatGPT into VS Code. Now everything I want to build is a natural conversation away.

March 2024: started learning to code

Started with AI-assisted development and moved toward repeatable engineering operations.

Multi-model operating method

Models are assigned distinct roles for architecture, implementation, review, and verification.

Overnight autonomous runner

Built orchestrator to run Claude Code autonomously. Second Max plan runs overnight.

10 projects marked deployed

The public registry distinguishes project status from customer, revenue, and reliability claims.

Complete infrastructure stack

NPM packages. Monorepos. Multi-tenant SaaS. Enterprise security. Professional architecture.

Verification before claims

Build, deployment, runtime behavior, and operational evidence are tracked as separate proof layers.

the portfolio

What a 137-repository build looks like

A working view of systems grouped by role, with public status kept separate from business or reliability claims.

8
Production SaaS — TENEO, TrendOS, ConversOS
6
Enterprise Infrastructure — TENEO Auth, AI Trust Stack, UniversalRAG
4
Legal/Financial Tools — FinForensics, CourtDocs, judge-analytics
2
Meta-Tools — orchestrator, production-audit
3
NPM Packages — @te-code/observability, security, testing

live in production

Links you can click right now

Every one of these is live. Go play with them.

TENEO

Live

Long-form book drafting with review and export steps · Full-length nonfiction

Ecosystem Hub

Live

Complete view of interconnected sovereignty infrastructure · 12+ integrated services

Book Cover Generator

Live

Multi-provider AI design platform · Ideogram + Gemini integration

ConversOS

Live

B2B personality-intelligent conversations · 8 missions, 4-layer memory

TrendOS

Live

Underground trend detection · Reddit + Google Trends + LLM

the meta-systems

Infrastructure built to solve recurring problems

When all your apps hit the same wall, you don't fix each one. You build the solution once.

Orchestrator

Claude Code running while I sleepRunning nightly

I built a system to run Claude Code autonomously overnight. Second Max plan. Zero human intervention. Wake up to working code.

  • 24/7 development cycle. Day: human-in-the-loop architecture and debugging. Night: Orchestrator clears the task queue autonomously.
  • Autonomous task management. Reads task files, spawns Claude instances, manages state, handles errors. Runs until the list is empty or morning arrives.
  • Two Max plans consumed weekly. Primary plan for day work. Second plan dedicated to orchestrator. Maxing out Claude's limits 24/7.
  • Wake up to working features. Go to sleep with a task list. Wake up to commits, deployed features, and a cleared queue.
Input
Task files with goals & context
Process
Autonomous Claude execution
Output
Commits, deploys, closed tasks

How it works. Orchestrator is a Node.js daemon that interfaces with Claude Code's CLI. It reads task definitions, spawns isolated Claude sessions, monitors progress, and handles the full dev cycle: research, implementation, testing, commits.

Production Audit

The vibe coder's bridge to productionComing soon

Building is one thing. Shipping to production is another. Production Audit analyzes your projects for production readiness, monetization paths, UX gaps, and technical debt.

  • Quality control layer. Automated analysis of security, performance, accessibility, SEO, and legal compliance. Catches issues before they become problems.
  • Monetization path detection. Analyzes your project to identify revenue opportunities: SaaS, API pricing, freemium models, enterprise features, marketplace integration.
  • UX gap analysis. Identifies missing onboarding, unclear CTAs, confusing navigation, poor mobile experience. The gap between "works for me" and "works for users."
  • Technical debt audit. Scans for hardcoded credentials, missing error handling, poor database indexes, unoptimized queries. The invisible blockers to scale.

The future product. Production Audit addresses the gap between generated code and inspectable delivery. It checks security, performance, user experience, and release evidence without treating a build as proof of business results.

Coming soon: SaaS platform for AI-native developers who need production quality without enterprise overhead

MarketingOS

Because you still gotta sell itIn development

Building is solved. UX is getting easier. But marketing? That's the real bottleneck. MarketingOS automates the full marketing stack for every project I ship.

  • SEO automation. Auto-generates blog posts, technical documentation, landing pages, and FAQ content optimized for search. Keyword research to publishing pipeline.
  • Email campaign engine. Drip campaigns, feature announcements, re-engagement flows. Personalized to user behavior and product usage patterns.
  • Social media automation. Auto-posts product updates, code snippets, demo videos across Twitter, LinkedIn, Reddit. Scheduled for maximum engagement.
  • Lead scoring system. Tracks visitor behavior, engagement signals, product interest. Identifies hot leads and triggers outreach automatically.
  • Content distribution network. Cross-posts to Product Hunt, Hacker News, indie hacker communities, dev forums. Maximizes reach without manual posting.
  • Analytics dashboard. Unified view of SEO rankings, email metrics, social engagement, conversion funnels. One dashboard for all marketing channels.

The solo builder's marketing problem. I can build and ship a SaaS in a week. But marketing it? That's still manual, time-consuming, and pulls me away from building. MarketingOS solves this: automated marketing for every project, running in parallel while I keep shipping.

In development: Multi-tenant marketing automation for the AI builder ecosystem

AI Assistant

Operational support layerRunning in production

A multi-project portfolio creates recurring coordination work. This assistant keeps briefings, tasks, and project context organized while I focus on building.

  • Email triage & management. Auto-categorizes emails: urgent, client requests, newsletters, spam. Drafts responses for routine inquiries. Flags critical messages that need my attention.
  • Calendar intelligence. Schedules meetings, blocks focus time, and manages time zones across project and business contexts.
  • Daily reports & insights. Morning briefings: what shipped yesterday, what's due today, hot issues across all projects. Weekly summaries of progress, blockers, wins.
  • Context memory. Remembers project decisions, client preferences, recurring issues. My second brain when I can't recall why we built something a certain way.
  • Task automation. Handles recurring admin tasks: invoicing reminders, follow-ups, status updates. The stuff that pulls me away from coding.
  • Priority management. Analyzes incoming requests against current projects and deadlines. Tells me what actually matters vs. what can wait.

Why this matters. A multi-project software portfolio creates more coordination work than one person can hold in working memory. The operating system keeps decisions, status, evidence, and recurring work inspectable so attention can stay on the highest-leverage problem.

Public proof snapshot: 137 repositories, 8 live systems anyone can open, and nearly 20,000 commits across 13 core repositories as of September 12, 2026.

the methodology

The poker player's advantage

Parallel work is useful only while ownership, context, and integration evidence remain clear.

Focused sessions

Architecture, complex features, and debugging with human review for critical decisions.

Queued sessions

Orchestrator runs bounded tasks from written context and returns evidence for review.

Multi-model

Claude for architecture. GPT for validation. Gemini when stuck. Each model checking the other's work.

the evolution

Six recurring problems, six systems

Each row: the wall every app hit, the system built once to remove it, and what that system does today.

Problem — Every app needs authentication

Built TENEO Auth. 88+ API routes, OAuth 2.0, unified credits across all services

Problem — Every app needs chat—support, sales, onboarding

Built ConversOS. Intelligent conversation layer that plugs into any product

Problem — Projects built but not production-ready or monetized

Built Production Audit. Analyzes projects for monetization paths, prod gaps, UX issues

Problem — Solo builder coordinating code, operations, and deadlines

Built AI Chief of Staff. Briefings, task triage, and portfolio context across projects

Problem — Too many ideas, can only work on one at a time

Built Orchestrator. Runs Claude overnight—set up the idea, wake up to working code

Problem — Apps built, but how do I sell them?

Building MarketingOS + SalesOS. SEO automation, email campaigns, lead scoring, social posting

the receipts

Watch it, or read the commits

Watch me build

Live recordings of Claude Code sessions from November 2025. No editing. Real development.

YouTube: Live Claude Code Session

View the code

Public repositories. Real commits. Contribution history. The receipts.

github.com/Traviseric

Python, JavaScript, TypeScript, AWS Lambda, Vercel, Railway, Next.js, FastAPI—learned through AI, shipped to production.

Join AI Builder's LabGitHub