Six 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 Lead-Gen Toolkit — Lite FREE

Run your first cold-lead sourcing tool in under an hour — no SaaS subscription required.

A starter pack from our full Lead-Gen Toolkit. Three production-shaped Python tools that pull leads from public B2B sources — TechCrunch funding announcements, ProductHunt B2B SaaS launches, Hacker News "Who is hiring?" threads. No ZoomInfo, no Apollo subscription required. Public data, well-organized.

Who it's for · What's inside · What's NOT included
Who it's for:
  • Solo founders or small revenue teams testing cold outbound on a near-zero budget
  • Engineers comfortable running Python locally who want to see how a real lead-sourcing pipeline is built before paying for the full version
  • Anyone curious whether self-hosted lead-gen fits their stack
What's inside:
  • 3 working Python tools with full source code + pinned dependencies
  • Setup guide (Python venv, install, environment variables) — every external service named with sign-up URL
  • Source catalog (what each tool pulls + sample output)
  • CAN-SPAM compliance note (5-min read)
  • Upgrade ladder showing what's in the Pro version and why
Not included: AI personalization, email verification, Apollo CSV import, LinkedIn engagement, Madhu-level signal enrichment, walkthrough call. Those are in the Pro version.

Prerequisites: Python 3.10+, basic comfort running scripts from a terminal.

Time to first result: Under 1 hour — first 20-50 leads in your local database.

Status: Coming this weekend. Drop your email and we'll send it the moment it's ready.

Get notified — drop your email Or book a 15-min call
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: Final packaging in progress. Available this weekend with early-buyer pricing locked in. 48-hr conditional refund before file access. Full terms

Get notified — early-buyer list Or book a 15-min call
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. Sends multi-touch cold-email sequences (5 emails over 22 days), 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):
  • Multi-touch sequence framework (5 emails over 22 days, 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 $797

The full field-proven content pipeline playbook — how we produce YouTube long-form, Shorts, LinkedIn, blog, and X content for a single B2B SaaS company at scale, run by one operator.

Eight modules covering story extraction from interviews/calls, script writing, AI avatar video generation, thumbnail prompting, blog production, Shorts cuts, LinkedIn post patterns, and quality gates. Buyer adapts to their own brand — not ship-ready content, but the teachable pattern that drove 35K+ YouTube views and broke a 2-year MRR drought for our $80M B2B SaaS case study.

Who it's for · What's inside · What's NOT included
Who it's for:
  • B2B SaaS founders who want to run their own content engine internally rather than hire an agency
  • Solo content operators or small content teams looking for the system, not the templates
  • Founders who'd rather buy the playbook than learn it the hard way over 12 months
What's inside (planned, dual-platform Claude + OpenAI):
  • Story extraction pattern (5-gate transcript → story selection)
  • Script writing structure (850–950 word framework)
  • AI avatar video generation approach (HeyGen / Synthesia / generic)
  • Thumbnail prompting patterns (Pikzels / Midjourney / generic)
  • Blog production framework (1200–1500 word, SEO-aware)
  • Shorts cuts methodology
  • LinkedIn post patterns + Buffer scheduling
  • Quality-gate checklist (dedup, anti-repetition, voice consistency)
  • 30-minute 1:1 walkthrough call
Not included: Ship-ready content for your brand (you adapt the pattern), avatar setup (managed avatar add-on available with Pipeline Lite/Scale/Authority service tiers), CRM/CMS integrations.

Prerequisites: Some content output already (YouTube/Loom/blog/etc.), Claude or OpenAI API key.

Time to first result: First piece shipped in 7 days following the playbook, full pipeline humming in 30 days.

Status: In packaging. Expected mid-June 2026. Drop your email for the launch announcement.

Join the waitlist 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 →