AI playbooks you can
run with today.

Install ClawFlows once and your AI agent runs your morning briefing, processes your email, preps every meeting, tracks habits, audits subscriptions, and builds things while you sleep. 100+ prebuilt workflows across 15 categories — enable any of them in one command. Includes the full CLI reference, 4 starter stacks (professional/developer/founder/household), and step-by-step instructions for building your own custom workflows and contributing to the community.

• Complete catalog of all 100+ ClawFlows workflows with what each one does
• The 20 highest-impact workflows to enable first — and why
• 4 ready-to-go starter stacks: professional, developer, founder, household
• Full CLI reference — every command with examples
• Step-by-step guide to building your own custom workflows
• 7 custom workflow templates you can build yourself (client brief, competitor news, invoice processing, and more)
• How to contribute workflows to the community and get credit

Stop writing prompts from scratch and getting generic outputs. This is 75 battle-tested, specific prompts across every part of your business — cold emails that actually get replies, content that stops the scroll, SOPs your team can follow, and OpenClaw automation prompts that run while you sleep. Buy it once. Use it forever.

• 10 client communication prompts (cold outreach → close → upsell)
• 10 content & marketing prompts (LinkedIn, TikTok hooks, ads, case studies)
• 10 ops prompts (SOPs, hiring, decision frameworks, process audits)
• 8 OpenClaw-specific prompts (skill discovery, cron design, memory capture)
• 6 'reverse prompts' — let AI find what YOU'RE missing each week
• 5 prompt frameworks to write any prompt yourself in under 2 minutes

You're paying $500-$2,000/month for tools that are just 'if-this-then-that' logic with a premium price tag. This guide shows you exactly how to replace 31 of them with n8n automations you build once and own forever — complete with the exact workflow logic, key nodes, and build time for each. Most businesses recoup the cost of this guide in the first week.

• 31 specific workflows mapped to the exact SaaS tool each replaces
• Total potential savings: $11,388/year (individual results vary by stack)
• Build time listed for each workflow — most under 3 minutes with Synta
• Prioritization framework: which replacements have the highest ROI first
• Covers email, CRM, social, reporting, HR, e-commerce, support, and more
• Works with n8n (self-hosted free) or Synta (plain English → deployed workflow)

1.69 billion people on TikTok. 45% of them search for more info after discovering a product. Your competitors are posting. You're not — because you don't want to film yourself. This guide shows you how to build an AI content loop that generates, posts, tracks, and optimizes business content automatically, with 7 minutes of your time per week. Every section built around a real feedback loop: what gets made next week is based on what made money this week.

• Full account warm-up protocol — skip this and you're throttled from Day 1
• 40+ pre-written hooks across 8 business niches (real estate, dental, legal, SaaS, and more)
• LarryLoop setup: 7 min/week to run a fully automated content pipeline
• Manual pipeline: Make.com scenario architecture with 3 real workflow blueprints
• Revenue attribution system — track which posts made you money (not just views)
• Month 1 / 2 / 3 timeline: exactly what to expect and what to do at each stage

Everyone's talking about AI agents. Nobody's talking about what happens when they go rogue. A Meta security researcher had her agent delete her entire inbox while she watched. That's what an agent without a backend looks like. This guide covers the production infrastructure — the validation, error handling, rollback, and self-healing layer — that makes AI agents safe and scalable. Includes the 5 specific workflows consultants charge $800–$6,000 each to deploy, plus a word-for-word pitch script with a documented 65–70% close rate.

• 5 production workflows with copy-paste build prompts (intake, rollback, reviews, orchestration, monitoring)
• Pricing by vertical: $800–$6,000 entry, $3K–$15K full stack, $300–$1,200/mo retainer
• Word-for-word pitch script with 65–70% documented close rate
• Full objection handling (Zapier, 'what if it breaks', non-technical clients)
• Self-healing architecture: retry logic, rollback, and anomaly detection blueprints
• Post-close client checklist: what to build, test, and hand off every time

Most Claude users are paying 40–60% more than they need to — not because they're using it wrong, but because nobody told them the five things that silently drain your budget. This guide covers every optimization lever: prompt engineering, context trimming, model routing, output controls, prompt caching (90% cost reduction on static prompts), and monitoring. Includes a full OpenClaw section with heartbeat tuning, cron job design rules, and a token audit checklist you can run today.

• The 5 root causes of token waste — fix these first for immediate savings
• Prompt caching walkthrough: 90% cost reduction on reused system prompts
• Model selection framework: when to use Haiku, Sonnet, and Opus (and why it matters)
• Full OpenClaw section: heartbeat tuning, cron model discipline, session management
• Token audit checklist — run it against your setup in under 15 minutes
• Weekly 10-minute review framework that compounds to 50%+ savings in 6–8 weeks

Most business owners are stuck in the research phase — reading about AI, watching demos, not implementing. This 5-week framework ends that. Each week has a specific goal: audit your operations, prioritize what to automate, evaluate tools without getting sold on the wrong ones, roll it out to your team, and measure actual ROI. Built for owners and operators who don't have time to figure this out from scratch.

• AI readiness self-assessment — know exactly where you stand before spending a dollar
• Week-by-week implementation plan with specific deliverables each week
• Tool evaluation framework: stop getting sold the wrong tools
• Team adoption playbook — how to roll out AI without resistance or confusion
• ROI measurement templates: prove the value to yourself and your team
• Built for non-technical operators — no coding, no jargon, just execution

Faceless content channels are generating thousands of dollars per month in digital product sales, affiliate revenue, and brand deals — using AI to create every video. This guide walks you through the complete system: niche selection, AI character creation, automated script generation, video pipeline, scheduling, and monetization. The entire operation runs for $100–200/month in tools. You run it in under 2 hours a week.

• Complete system you can launch for $100–200/month in tools
• AI character & script generation — consistent, on-brand content at scale
• Full video pipeline automation: generate → edit → schedule → post
• Digital product creation framework ($9–$29 price point, zero overhead)
• Monetization stack: digital products + affiliate + brand deals, layered
• Time investment after setup: under 2 hours/week to run the full operation

Andrej Karpathy built AutoResearch to improve AI models while he slept. Marketers are now using the same loop to optimize landing page copy, email subject lines, ad hooks, and cold outreach — automatically, overnight, for ~$15. This playbook shows you exactly how: 18 chapters covering every major marketing application, 8 complete eval checklist templates you can use immediately, and the honest truth about what it can and can't do (it's a pre-filter, not an A/B test replacement). The methodology that took one landing page from 56% to 92% pass rate in 4 rounds.

• 8 complete copy-paste eval checklists: landing pages, emails, ads, cold outreach, SOPs, and more
• The exact 4 mutations that took one landing page from 56% → 92% pass rate
• The honest caveat: AI judging AI vs. real conversions — and how to use both
• 18 chapters covering every major marketing and workflow application
• The two-stage framework: AutoResearch pre-filter → live validation
• How to build a permanent 'taste document' from your optimization changelogs

Paperclip is one of the fastest-growing open-source AI projects right now — and it lets you run an entire company staffed by AI agents. This playbook is your complete guide: install it in one command, design your AI org chart, write persona prompts that actually work, set budgets so agents never go rogue, and run recurring operations 24/7 while you sleep. Includes 3 pre-built company templates (content creator, SaaS team, agency operator), 5 copy-paste persona prompts, 10 ready-to-run routines, and every mistake to avoid.

• One-command install walkthrough — up and running in under 10 minutes
• 5 complete copy-paste persona prompt templates (CEO, Engineer, QA, Content, Social)
• 10 ready-to-run routine templates that automate recurring business operations
• 3 pre-built company org charts: content creator, SaaS build team, agency operator
• Budget setup guide — how to cap agent spend so nothing runs away
• The 7 most common Paperclip mistakes and exactly how to avoid them

This isn't a course. It's a build sprint. Every day you implement something real — a workflow, an automation, a research system — using Claude, Perplexity, Make.com, Zapier, and n8n. By Day 14 you have a fully operational AI stack running in your actual business. Built for owners with no technical background who are tired of learning and ready to do.

• 14 daily builds — each day you deploy something real, not just learn it
• 6 core tools covered with step-by-step setup: Claude, Perplexity, Make, Zapier, n8n, Cowork
• 28+ pages of guided hands-on exercises with no assumed technical knowledge
• Real client-ready deliverables starting from Day 1
• Capstone project: full AI stack integration connecting all 6 tools
• 64 pages — the most comprehensive implementation guide in the gallery