Show Me The Money: The 24/7 AI Business OS Solo Founders Are Using

What if one person with a laptop could out-ship entire startup teams? What if your AI assistant didn't just write code, but ran your entire business — finding opportunities, validating demand, building products, and optimizing revenue while you sleep?

This isn't science fiction. This is Show Me The Money, the open-source Claude Code skill suite that's already generated $1M+ in lifetime revenue for its creator — a solo founder running 6 SaaS products simultaneously with zero employees. No marketing team. No sales department. No content agency. Just AI agents executing a battle-tested operating system 24/7.

If you're tired of AI tools that give generic advice while you do all the work, keep reading. This changes everything.

What Is Show Me The Money?

Show Me The Money is an open-source skill suite for Claude Code and compatible AI coding agents. Created by solo founder James (@jamesai), it transforms your AI assistant into a full-stack business operating system — covering the entire journey from idea discovery to revenue generation, autonomously and with persistent memory across sessions.

The project lives at github.com/iamzifei/show-me-the-money and ships as 25 executable skills that install directly into your AI agent's workflow. Each skill is a SKILL.md file containing step-by-step frameworks, decision trees, and business methodologies that the AI follows without human micromanagement.

Why it's trending now: The solo founder movement has exploded, but most AI "business tools" remain glorified chatbots. Show Me The Money is different — it's the actual working code behind a proven $1M+ revenue operation, not a course or framework. With AI agents like Claude Code, Codex CLI, and Gemini CLI maturing rapidly, developers are discovering they can replace entire departments with structured, persistent agent workflows.

The current version v2.5.1 (released May 2026) includes business-type awareness for 7 categories, post-PMF iteration commands, and critical fixes for terminal markdown rendering. The project has iterated rapidly through v2.1.0 (cross-session state management) → v2.2.0 (review panel + learning) → v2.4.0 (operating modes, STRIDE security) → v2.5.0 (business-type awareness) — each release hardening real operational needs.

Key Features That Separate Hype From Results

25 Executable Agent Skills — Not templates, not prompts. Each /money-* command triggers a complete workflow with forcing questions, evaluation frameworks, and concrete next actions. The AI doesn't suggest — it executes.

Persistent Cross-Session Memory — Through /money-save, /money-restore, and /money-report, your business state survives across conversations. Ruled-out directions, validated hypotheses, and pricing decisions checkpoint to ~/.smtm/sessions/{project}/ and resume seamlessly. No more re-explaining your business to AI every session.

Battle-Tested Business Frameworks — Every methodology has shipped real products: 6-question demand validation, 5-filter opportunity scoring, premise deconstruction, business model stress test, 12-signal authenticity audit, headline impact matrix. These aren't academic exercises — they're the exact filters that validated 6,500+ paying transactions.

24/7 Autonomous Operations — The /money-ops skill runs continuous business health scoring, canary monitoring, and safety guardrails across open/staging/production modes. Set parameters once; the agent monitors, adjusts, and alerts.

Full-Stack Lifecycle Coverage — From /money-discover (market gap scanning) through /money-strategy (SWOT, 4P, GTM planning) to /money-product (MVP build with auth, payments, SEO/GEO) and /money-ops (autonomous running). No tool-switching, no integration hell.

Multi-Agent Review Panel — Run /money-panel to execute four specialized reviewer personas simultaneously — Investor (funding viability), Customer (willingness-to-pay), Operator (execution feasibility), and Skeptic (red-team attack) — surfacing only decisions requiring human taste.

GEO Optimization Built-In — Beyond traditional SEO, /money-seo optimizes for AI search engines (ChatGPT, Perplexity, Gemini) where an increasing share of B2B discovery now happens.

5 Brutal Real-World Use Cases

1. The Burned-Out Developer Who Wants Equity, Not Employment

You've got technical skills but no time to validate ideas. You run /money-discover "I'm a Python developer with ML experience" — the agent scans market gaps, runs competitive intelligence, and returns a tomorrow-shippable narrowest-bet statement with validated demand. No more building in the dark for six months.

2. The Indie Hacker Running Multiple Products

James's actual situation: 6 SaaS products, 1 person. Show Me The Money's portfolio learnings (/money-learn) share atomic insights across projects. What worked in product A's pricing test informs product B's strategy. The /money-retro weekly retrospective tracks decided/shipped/stalling items across your entire portfolio.

3. The Technical Founder Who Hates Marketing

You shipped a great product. Crickets. /money-content generates blog posts, email sequences, social content, and video scripts with authenticity audit and headline impact matrix. /money-social manages X, LinkedIn, Reddit, Product Hunt with hook-writing frameworks. /money-ads runs Google and Meta campaigns with ROAS tracking. The AI becomes your growth team.

4. The Distributed Team Needing Async Alignment

Solo founder brings on a co-founder. /money-save checkpoints all decisions. /money-report merges weeks of saved states into a shareable markdown deliverable at ~/.smtm/reports/{project}/. Your new partner reads one document and understands every assumption, test, and pivot.

5. The Post-Launch Stagnation Recovery

Revenue flatlined. /money-diagnose applies Iron Law phase gating — deconstructing problems to root causes, not symptoms. /money-review-skeptic red-teams your assumptions. /money-strategy iterate (v2.5.0) specifically handles post-PMF iteration with business-type-aware recommendations.

Step-by-Step Installation & Setup Guide

Prerequisites

• Claude Code installed, OR Codex CLI, Gemini CLI, or compatible agent
• Node.js 18+ for npx/npm installation
• Git for manual installation

Option 1: Claude Code Plugin Marketplace (Recommended)

# Add the marketplace source
claude plugin marketplace add iamzifei/show-me-the-money

# Install the money skill suite
claude plugin install money@show-me-the-money

Updating later:

claude plugin marketplace update show-me-the-money
claude plugin update money@show-me-the-money
/reload-plugins  # Refresh Claude Code's skill registry

Option 2: npx — Universal Agent Support

This works with any AI agent (Claude Code, Codex CLI, Gemini CLI, Cursor via skills):

# One command installs all 25 skills to ~/.claude/skills/
npx @orrisai/show-me-the-money

Updating later: Simply re-run the same command — it detects and replaces outdated skills automatically.

Option 3: Global npm Install

npm install -g @orrisai/show-me-the-money

Option 4: Manual (For Contributors/Customizers)

# Clone directly to Claude's skills directory
git clone https://github.com/iamzifei/show-me-the-money.git ~/.claude/skills/show-me-the-money

# Run the installation script
cd ~/.claude/skills/show-me-the-money && node install.js

First Launch

Open your AI agent and type:

/money

The router skill:

1. Checks for prior state — any saved /money-save checkpoints
2. Onboards new users — requests email and social handles for background research
3. Builds your personalized profile — auto-researches your public data
4. Routes to appropriate skill — based on your business phase

State Management Setup

Create your project workspace:

# The tool auto-creates these, but verify permissions:
mkdir -p ~/.smtm/sessions/my-project
mkdir -p ~/.smtm/reports/my-project

Uninstalling (if needed):

npx @orrisai/show-me-the-money uninstall

REAL Code Examples From the Repository

Example 1: Installing via npx (Universal Method)

# Install all 25 skills with one command — works across Claude Code, Codex, Gemini
npx @orrisai/show-me-the-money

# This automatically:
# - Downloads the latest version from npm
# - Installs SKILL.md files to ~/.claude/skills/
# - Creates directory structure for each /money-* command
# - Sets up state management directories at ~/.smtm/

Why this matters: The npx method is agent-agnostic. Unlike marketplace plugins locked to Claude Code, this single command equips any compatible AI agent with the full business OS. The node install.js script handles path resolution and skill registration automatically — no manual file copying.

Example 2: The Core Business Pipeline (Command Sequence)

# Step 1: Initialize — AI researches your background, checks for saved state
/money
# → "Welcome back" or "Let's build your founder profile"

# Step 2: Discover — Validate demand before writing code
/money-discover "I'm a developer who can build web apps"
# → Outputs: narrowest-bet statement + 6-question validation + 5-filter score
# → Ends with: "Tomorrow's first action: [specific task]"

# Step 3: Lock in decisions — Save checkpoint for cross-session continuity
/money-save
# → Writes to: ~/.smtm/sessions/{project}/state-{timestamp}.md

# Step 4: Build strategy — Full market research from saved wedge
/money-strategy "API product that provides AI image generation"
# → Generates: premise deconstruction + SWOT + 4P + competitive landscape
#              + business model stress test + GTM plan

# Step 5: Ship product — DESIGN.md contract → build → deploy → canary
/money-product "SaaS tool for email analytics, $29/mo"
# → Produces: VERSION + CHANGELOG + release notes + deployed URL

The critical insight: This isn't a linear checklist you manually execute. The AI drives each step, asking forcing questions, applying evaluation frameworks, and only proceeding when validation gates pass. The /money-save checkpoints mean you can validate an idea on Monday, save, and build the product on Friday without losing context.

Example 3: Content Engine Automation

# Launch complete content operation for existing product
/money-content "create a launch content plan for my product at example.com"

# The skill executes:
# 1. Authenticity audit — 12-signal check for generic AI-sounding content
# 2. Headline impact matrix — scores variants on urgency, specificity, curiosity
# 3. Hook + title pattern library — applies proven formats to your domain
# 4. Content substance scoring — ensures depth over fluff
# 5. Output: blog posts, email sequences, social content, video scripts

# Then automate distribution
/money-social
# → Manages X, LinkedIn, Reddit, Product Hunt with hook-writing frameworks

# And optimize discoverability
/money-seo
# → Traditional SEO + GEO (AI search optimization for ChatGPT, Perplexity, Gemini)

What makes this executable: Most AI content tools generate drafts you must edit. Show Me The Money's /money-content ends with "Tomorrow's first action: [specific task]" — scheduling, publishing, or testing. The authenticity audit prevents the dead giveaway of generic AI content that kills conversion.

Example 4: 24/7 Autonomous Operations

# Activate continuous business monitoring
/money-ops "automate content, social, and SEO for my product at example.com"

# The ops skill establishes:
# - Operating mode: open (experiment) / staging (validate) / production (scale)
# - Edit perimeter: what the AI can modify without approval
# - Panic stop: immediate halt conditions
# - Business health scoring: automated metrics evaluation
# - Canary monitoring: gradual rollout with rollback triggers

The autonomy boundary: Unlike dangerous "let AI do anything" setups, /money-ops uses explicit guardrails. The edit perimeter defines autonomous vs. approval-required actions. The panic stop triggers on revenue drops, error rate spikes, or policy violations. This is controlled autonomy — scaling your capacity without scaling your risk.

Example 5: Cross-Session State Management

# Week 1: Validate and save
/money-discover "..."
# → AI validates wedge, you confirm pricing
/money-save
# ✅ Wedge + pricing checkpointed to ~/.smtm/sessions/my-project/

# Week 2: Resume seamlessly (new Claude Code session, possibly new machine)
/money-restore
# 📦 Picks up exactly where you left off — reads all prior checkpoints

# Continue building
/money-strategy
# → Builds GTM plan using saved wedge and pricing decisions

# Week 6: Generate investor/co-founder deliverable
/money-report
# → Merges all checkpoints into ~/.smtm/reports/my-project/report-{date}.md

Why this is revolutionary: Before persistent state, every AI conversation started at zero. You'd re-explain your business, re-validate decisions, re-establish context. Show Me The Money's append-only state files (~/.smtm/sessions/{project}/) create growing organizational memory — the AI becomes more valuable the longer you use it.

Advanced Usage & Best Practices

Skillify Your Wins — When a workflow succeeds, run /money-skillify to codify it as a project-local reusable skill. Your custom playbook grows with your experience.

Portfolio Learning Transfer — Use /money-learn to capture atomic insights. A pricing test that worked in one project auto-suggests applicability when /money-strategy runs for another.

Review Panel Before Big Bets — Before committing to /money-product build, run /money-panel --add "technical-co-founder" to include custom personas. The four default reviewers (Investor, Customer, Operator, Skeptic) catch blind spots you won't see alone.

Business-Type Awareness — v2.5.0 added 7 business type profiles. When running /money-strategy, the AI now tailors recommendations based on whether you're building API product, developer tool, consumer app, marketplace, content business, service, or hardware.

Post-PMF Iteration — Use /money-strategy iterate (not just /money-strategy) once you have customers. The framework shifts from validation to expansion — pricing optimization, feature prioritization by revenue impact, and churn reduction.

Auto-Update Discipline — Run /money-upgrade weekly. The skill checks npm, downloads updates, reads CHANGELOG, and prompts restart. v2.5.1's terminal rendering fix came through this channel — staying current prevents silent breakage.

Comparison With Alternatives

The verdict: Generic AI chatbots give advice you must execute. No-code builders lock you into their abstractions. Agencies cost more than most early revenue. Show Me The Money is the only open-source, executable, persistent, full-lifecycle system proven at $1M+ scale — and it's free for personal use.

FAQ

Q: Do I need to be a developer to use Show Me The Money?

A: Technical founders get the most value since the /money-product skill generates code. However, non-technical founders can use /money-discover, /money-strategy, /money-content, and /money-ops with no-code tools or by hiring developers for the build phase.

Q: Can I use this with ChatGPT or other AI assistants?

A: Show Me The Money requires an agent supporting the skill system (~/.claude/skills/). This includes Claude Code, Codex CLI, Gemini CLI, and Cursor. Standard ChatGPT (web/app) doesn't support skill execution — you'd need to manually paste SKILL.md contents.

Q: Is this really free? What's the catch?

A: The CC BY-NC 4.0 license permits free personal, learning, and research use with attribution. Commercial use requires separate authorization from the creator. The $1M+ revenue figure represents the creator's own businesses — not a guarantee of your results.

Q: How does persistent state actually work?

A: /money-save writes structured markdown files to ~/.smtm/sessions/{project}/. These are append-only — never overwritten, only extended. /money-restore reads the latest checkpoint and reconstructs context. /money-report merges chronological checkpoints into a single deliverable. You own your data locally.

Q: What if the AI makes bad business decisions autonomously?

A: /money-ops includes explicit guardrails: operating modes (open/staging/production), edit perimeter (what requires approval), and panic stop conditions. The review panel skills (/money-panel) surface critical decisions for human judgment. Start in open mode with tight perimeters, expand as you build trust.

Q: How is this different from just using Claude Code normally?

A: Raw Claude Code is a powerful coding assistant without structured business methodology. Show Me The Money provides 25 proven workflows with forcing questions, evaluation frameworks, and decision trees — the difference between having a calculator and having a CPA who knows which calculations matter.

Q: Can I contribute new skills or modify existing ones?

A: Absolutely. Fork github.com/iamzifei/show-me-the-money, edit SKILL.md files in skills/, test by copying to ~/.claude/skills/, and submit a PR. The skill system is designed for extensibility.

Conclusion: The Solo Founder's Secret Weapon Is Now Open Source

Show Me The Money isn't another AI productivity hack. It's the actual operating system behind a proven $1M+ solo founder operation — 6 products, 6,500+ transactions, 10,000+ customers, 32 months, 1 person. The 25 skills in this repository have shipped real products that collect real payments on Stripe right now.

For developers who've watched AI advance and wondered "when can I actually use this to build a business?" — that moment is here. Not as a toy. Not as a demo. As executable, persistent, autonomous infrastructure that runs 24/7.

The playing field has never been more level. One person with a laptop and the right AI skills can out-ship teams of twenty. The only question is whether you'll be early to this shift or late.

Install Show Me The Money today and start building:

npx @orrisai/show-me-the-money

Then open your AI agent, type /money, and watch your first autonomous business take shape. The future of solo entrepreneurship isn't coming — it's already running at github.com/iamzifei/show-me-the-money.