Seven self-serve blueprints. AI-buildable. Ship in 5–14 days.

If you have engineers (or Claude Code + your own time), buy one of our productized blueprints. You get the .md playbook, working code templates, every external API + service spelled out with sign-up URLs, deployment recipes, and a 30-minute 1:1 walkthrough call. Built so a smart engineer or AI assistant can paste any chapter into Claude or ChatGPT and ship the system end-to-end.

Free AI Verification Framework FREE

A runnable framework for catching AI hallucinations before they reach your customer. Validation harness + standalone pre-send verifier. ~10 min setup.

The verification layer that helps you trust ANY AI output — built for B2B SaaS founders shipping AI features into production. Includes a 5-technique validation harness (reproducible against your own Anthropic API key, ~$0.18/run) plus a standalone pre-send verifier that catches fabricated quotes before they ship to your customer. Stress-tested 12/12 PASS across realistic scenarios.

Who it's for · What's inside · What's NOT included
Who it's for:
  • B2B SaaS founders shipping AI features into production who want to verify the output before it touches a customer
  • Engineering teams who need a measurable hallucination rate per AI feature, tracked over time
  • Anyone building AI-powered customer support, lead scoring, summarization, or generation pipelines
  • Founders evaluating whether AI verification is worth the engineering time (run the harness, see the numbers, decide)
What's inside:
  • Framework Guide — the 5 techniques explained, with copy-paste-ready prompts (when, where, why)
  • Validation harness (runnable Python, ~$0.18/run on your Anthropic key, generates full transcripts)
  • Pre-send verifier (standalone Python, catches fabricated quotes before send)
  • Verification library (5 framework functions extracted as a clean reusable module)
  • Stress test (12 realistic scenarios, currently 12/12 PASS — proves the bundle delivers what we promise)
  • Setup guide + Pro upgrade path doc
Not included: Lead-source scrapers, AI personalization engine, LinkedIn engagement add-on, Streamlit dashboard, deployment automation, walkthrough call. Those are in the Pro tier ($497) below.

Prerequisites: Python 3.10+, basic comfort running scripts from a terminal, Anthropic API key (free $5 credit covers ~25 runs).

Time to first result: Under 15 minutes — install + run the validation harness + read your results.md.

Status: LIVE — instant download via email after form submission.

Get the framework — free Or book a 15-min call
Marketing Audit Kit $297

Run an AI marketing audit on your own data. Walk away with 30+ implementation-ready fixes — new homepage copy, 30-day AEO content calendar, ad copy variants, attribution patches — ready to ship into your tools Monday morning.

Six audit modules (positioning, AEO/LLM citation, AI content QA, paid acquisition, attribution, MarTech stack) with ~150 distinct 0-100 scoring rubric anchors. Connects to your real data via 11 verified MCPs (Stripe, HubSpot, GA4, GSC, Apollo, Google Ads, Meta Ads, Klaviyo, Notion, Slack, Webflow) + 6 LLM APIs for citation tracking (ChatGPT, Claude, Perplexity, Bing Copilot, Google AI Overviews, Gemini). The killer deliverable: top-10 priority fix list cross-cut across all 6 modules, ranked by modeled $ impact ÷ effort.

Who it's for · What's inside · What's NOT included
Who it's for:
  • B2B SaaS founders at $1M-$20M ARR doing their own marketing or with a small team
  • Operators comfortable in a terminal OR willing to follow a 5-minute installer script
  • Companies with data in HubSpot + Stripe + GA4 + GSC as the primary stack
What's inside:
  • 6 audit modules with full prompt chains (33 Claude prompts total) + 0-100 scoring rubrics anchored to Dunford / Pierri / Laja / Fishkin / Kaushik / Schwartz frameworks
  • Cross-module top-10 priority fix list (the killer deliverable)
  • Installer scripts (install-mcps.sh + validate-mcps.sh + compute-composite.py) — compresses the gnarly Google Cloud setup from 60min to 5min
  • Output templates for every deliverable (positioning rewrites, AEO calendar, content QA rewrites, paid leakage fixes, attribution fixes, MarTech consolidation plan)
  • Project-level CLAUDE.md so Claude knows the audit context when you paste in
  • Re-runnable quarterly with drift tracking + comparison reports
Not included: Your own API costs (Claude/OpenAI/Perplexity tokens — typically $12-38 per audit run), MCP-vendor subscriptions if you need paid tiers (Apollo Basic at $49/mo, Pipeboard for Google Ads MCP), done-for-you implementation (that's the managed service).

Prerequisites: Claude Code or Claude Desktop installed (free), HubSpot + Stripe + GA4 + GSC connected (or willing to connect via OAuth). Terminal comfort or willingness to follow installer scripts.

Time to first result: Setup in 75-100 minutes, first audit run in another 75-150 minutes (mostly background — step away while it runs).

Buy the Marketing Audit Kit — $297 See full details
Lead-Gen Toolkit — Pro $497

Ship 100–300 high-quality cold leads per week from your own machine, with AI-personalized openers, in under 7 days.

The full lead-gen toolkit we use internally — 13 production-shaped Python tools spanning YC, TechCrunch, Hacker News, ProductHunt, GitHub, Indie Hackers, plus an Apollo CSV importer for traditional verticals (real estate, healthcare, professional services, wealth management). Includes AI-driven personalization with chain-fallback for non-SaaS leads, the LinkedIn peer-engagement add-on, and the rare signal-enrichment + verification pattern most $497-$997 cold-email courses don't teach.

Who it's for · What's inside · What's NOT included
Who it's for:
  • Solo founders or small revenue teams ramping outbound on a near-zero budget
  • B2B SaaS operators who want intent signals (just-funded, just-hired, just-launched) that paid databases don't surface
  • Engineers comfortable with Python who'd rather self-host than pay $50–$500/month for sales-tech subscriptions
  • Existing Apollo / Outreach users who want a complementary layer that finds prospects mainstream tools miss
What's inside:
  • 13 production tools (10 sources + 3 enrichers/utility), all working code with pinned dependencies
  • AI personalization layer with non-SaaS chain-fallback (Claude or OpenAI — pick at install)
  • Apollo CSV importer for traditional verticals (the centerpiece for non-SaaS outbound)
  • LinkedIn peer-post engagement drafter (TOS-safe, no scraping)
  • Signal-enrichment + pre-send verification chapter (the differentiator — catches industry misframes, double-touches, fabricated quotes before they ship)
  • Setup guide, source catalog, deployment recipes, troubleshooting reference, CAN-SPAM essentials
  • 30-minute 1:1 walkthrough call
Not included: A SaaS dashboard or hosted service, automated email sender (see Apollo Lead Funnel below), LinkedIn scraping (intentionally — TOS risk), CRM push (pattern covered on walkthrough).

Prerequisites: Python 3.10+, an LLM API key (Claude or OpenAI, ~$5–$30/month in spend), terminal comfort.

Time to first result: 3-7 days from purchase.

Status: LIVE — Stripe checkout. Bundle delivered within 1 business day. 14-day no-questions-asked refund.

Buy Lead-Gen Toolkit Pro — $497 See full details
MCP Dashboard Pipeline Blueprint $497

Ship a real-time dashboard backed by your MCP server in 7 days — without your frontend ever calling the MCP at runtime, without managing live credentials, without ongoing hosting costs.

A complete buildout playbook for turning any MCP server (GitHub, Stripe, Postgres, Salesforce, or your own internal MCP) into a customer-facing or internal dashboard with auto-refresh, scheduled data updates, and uptime monitoring. The exact pattern we ship for our $4,500 done-for-you MCP Dashboard Pipeline engagement.

Who it's for · What's inside · What's NOT included
Who it's for:
  • Engineers or technical founders who want a dashboard for real business data but don't want to stand up another live-credentialed backend
  • Teams already using an MCP server who've hit the wall trying to deploy it to the web
  • SaaS operators paying $300–$1,200/month for a dashboard SaaS who'd rather own the stack
  • Anyone with a Claude Code subscription and Next.js experience who'd rather buy the proven pattern than spend 20–40 hours figuring it out
What's inside:
  • End-to-end setup guide (architecture, decision tree, deployment)
  • 4 production-tested SQL/query templates (year-over-year financial, pipeline rollup, support rollup, ops metrics)
  • Schema-drift detection script (Python utility that flags data structure changes)
  • Refresh automation recipes — Windows Task Scheduler, macOS launchd, cron, GitHub Actions, Vercel Cron — pick your stack
  • Hosting cost notes (when free tier is enough, when to upgrade, alternatives)
  • 30-minute 1:1 walkthrough call
Not included: The MCP server itself (separate $5,500 service if you need one built), data modeling for your specific business, multi-tenant architecture, OAuth auth (that's the $5,500 MCP Production Hardening service).

Prerequisites: An MCP server with read endpoints, a Vercel (or alternate) host account, basic Node.js or Python familiarity.

Time to first result: Live dashboard at a URL of your choosing in 7-14 days.

48-hr conditional refund before file access. After delivery, all sales final — IP delivered. Full terms

Buy now — $497 Or book a 15-min call
Autonomous Agent Blueprint $497

A production AI agent watching your data, taking action within bounded decisions, and escalating to a human when needed — running 24/7 without a person in the loop for routine work.

Pick ONE of four production patterns at your walkthrough — competitive intel, customer signal classification, executive rollup automation, or founder knowledge base. The exact pattern we ship for our $3,500–$7,500 Productized Autonomous Pipeline builds.

Who it's for · What's inside · What's NOT included
Who it's for:
  • Technical founders or lead engineers who want an autonomous worker handling a specific, repeatable job
  • Teams that have tried Zapier or n8n and hit the wall — rule-based automation can't handle the "judgment calls" you need this worker to make
  • Companies with a Claude or OpenAI API subscription and Python experience who'd rather buy the proven pattern than spend 30–60 hours figuring it out
What's inside:
  • Setup guide (one core architecture, four pipeline applications)
  • 4 production-tested system prompts (one per pipeline) + classifier / escalation / reporting subprompts
  • Working Python starter code (Claude Agent SDK patterns, memory, tool use, error recovery, escalation hooks)
  • Deployment + scheduling recipes (cron, GitHub Actions, Vercel Cron, AWS Lambda, local daemon)
  • Cost guardrails (token budgets, rate limiting, per-run spend caps, monthly ceiling logic)
  • 30-minute 1:1 walkthrough call
Not included: Writing the agent for your specific business (you adapt the pattern), configuring your data source APIs, ongoing monitoring (see $950–$5,500/mo retainers), enterprise audit logs / SOC 2 (that's the $9,000+ Custom Agent Build).

Prerequisites: Claude or OpenAI API key, Python 3.10+, baseline cloud deployment fluency.

Time to first result: Agent live in 5-10 days of focused build time.

48-hr conditional refund before file access. After delivery, all sales final — IP delivered. Full terms

Buy now — $497 Or book a 15-min call
Apollo Lead Funnel Blueprint $797

A multi-touch cold-email sender + reply-detection layer that turns the Lead-Gen Toolkit's verified leads into a self-running outbound funnel.

The next layer above the Lead-Gen Toolkit Pro. Runs a sustained, multi-channel outbound sequence — email plus optional LinkedIn and call-task touches — with reply-branch logic and an indefinite re-engagement loop so non-responders never dead-end. Detects replies via Gmail API, classifies reply tone (interested / pushback / OOO / not-interested) with Claude Haiku, drafts contextual responses, rotates inboxes for deliverability. Built dual-platform from day one — Claude or OpenAI, your choice.

Who it's for · What's inside · What's NOT included
Who it's for:
  • Operators running outbound at 100–500 emails/week who need automation without a Smartlead/Instantly subscription
  • Anyone who already owns the Lead-Gen Toolkit Pro and wants the sending + reply layer
  • B2B teams who want CAN-SPAM compliant cold email sequences with a real reply-classification brain
What's inside (planned):
  • Sustained multi-channel sequence framework (email + LinkedIn + call tasks) with reply-branch logic + indefinite re-engagement loop — fully customizable cadence
  • Gmail API sender with full OAuth setup walkthrough
  • Reply detection + tone classification (Claude Haiku or OpenAI)
  • AI-drafted contextual response templates
  • Inbox rotation pattern for deliverability
  • Dual-platform starter code (Claude + OpenAI versions)
  • Full deployment recipes (Windows Task Scheduler, GitHub Actions, Vercel Cron)
  • 30-minute 1:1 walkthrough call
Not included: Lead sourcing (use the Lead-Gen Toolkit Pro or your own list), email warmup infrastructure (use a dedicated warmup tool for that), CRM sync (pattern covered on walkthrough).

Prerequisites: Lead-Gen Toolkit Pro recommended (or your own lead source), Gmail or Google Workspace account, LLM API key.

Time to first result: Send your first sequence in 5-7 days from purchase.

Status: Final build in progress. Expected late May 2026. Drop your email for the launch announcement — early-buyer pricing locked in.

Join the waitlist Or book a 15-min call
Content Operations Blueprint $1,497

The complete production AI content pipeline — the same architecture we run internally. Raw transcript or topic in; script, avatar-video direction, thumbnail, blog, Shorts, and LinkedIn post out — orchestrated with approval gates, web-search fact-checking, and idempotency-guarded publishing.

9 modules + an orchestrator with SQLite state machine + 26 tool adapters across 7 capability layers + a 12-question setup questionnaire + a 40+ scenario troubleshooting guide + a fully worked example + a 30-minute 1:1 walkthrough call. Dual-platform — Claude or OpenAI. Wired to the tools you already use; no lock-in.

Who it's for · What's inside · What's NOT included
Who it's for:
  • B2B founders who want to run their own content engine internally rather than hire an agency
  • Solo content operators or small teams who want the system, not just templates
  • Anyone who'd rather buy the working pipeline than rebuild it over 12 months
What's inside (dual-platform Claude + OpenAI):
  • 9 modules: story extraction, script, avatar-video direction, thumbnail, blog, Shorts, LinkedIn, quality gates (web-search fact-check), YouTube comments
  • Orchestrator + SQLite state machine + pipeline CLI (idempotency-guarded publishing, parallel execution, daily cost guard)
  • 26 tool adapters: avatar, image, blog, social, notify, scheduler, source-intake
  • 12-question setup questionnaire that writes your .env + picks adapters
  • 40+ scenario troubleshooting guide + CLAUDE.md installer
  • Fully worked fictional-brand example
  • 30-minute 1:1 walkthrough call
Not included: Third-party tool subscriptions (bring your own HeyGen / WordPress / Buffer / etc.), LLM API spend, done-for-you content production (that's the managed service), brand-voice authoring beyond the walkthrough.

Prerequisites: Comfortable running Python from a terminal; Claude or OpenAI API key. A CLAUDE.md installer is included so an AI agent can stand it up for you.

Time to first result: First end-to-end run within the first hour; your own source piece through the pipeline within a day.

View & buy — $1,497 Or book a 15-min call

All blueprints include

.md playbook files + working code templates + .env.example + dependency manifests + 30-minute 1:1 walkthrough call. Typical delivery 5–7 business days after purchase. AI-buildable — paste any chapter into Claude or ChatGPT and the AI can build the system end-to-end.

48-hour conditional refund policy. Not sure which fits your situation? Book a 15-minute call and we'll point you at the right one (or tell you it's not for you).

Want done-for-you instead of DIY? See our managed service tiers →

Curious what these blueprints look like in production? Read 5 real workflow examples →