From one description to a live system
Mass onboarding is chat-first: you describe what you sell, the AI builds the funnel, copy, emails, ads, and automations around it, and a guided checklist walks you from a generated draft to a published, traffic-ready launch — then keeps going with a post-launch growth plan.
16 min read · Updated for the current release
What AI Onboarding is
Onboarding is the on-ramp: a conversation that becomes a complete marketing system, not a blank builder you have to fill in yourself.
Instead of dragging blocks onto an empty canvas, you start by telling Mass what you're selling, who it's for, and what outcome you want. The AI asks the right follow-up questions, assembles a deterministic context for your offer, generates a funnel with A-level copy, and hands you a launch checklist that finishes the rest in the background.
Everything downstream — the funnel pages, the email sequence, the ad copy, the automations — is generated against one shared context so the product name, price, promise, audience, and brand voice stay consistent across every asset.
- Chat-first — you describe the offer in plain language; the assistant interviews you for anything it's missing.
- Context-grounded — answers are distilled into a reusable Context Engine fact-store that feeds every generation.
- Checklist-driven — a guided Fast Launch checklist sequences the remaining work and auto-generates the AI-able steps.
- Growth-aware — once you go live, a Post-Launch checklist and the campaign dashboard keep the system improving.
Step 1 — Describe
Open a chat and describe your offer, audience, or goal. Mass asks the right questions to understand your business context.
The onboarding chat accepts more than a sentence. You can paste a URL (a sales page, a competitor, your existing site), drop in a file, or paste raw text, and Mass extracts it into source context that grounds the build. Pasteable links are detected automatically and attached as context chips you can keep or remove.
From your description the AI proposes a funnel type — lead magnet, sales page, webinar, VSL, application, challenge, membership, and more — and generates a short dynamic form to confirm the few facts it still needs.
- 1
Describe the offer
Tell Mass what you sell, the audience, and the outcome. One or two sentences is enough to start.
- 2
Attach context (optional)
Paste a link, upload a doc, or paste text. Mass canonicalizes URLs and extracts the content as grounding context.
- 3
Confirm the dynamic form
The AI drafts a campaign form tailored to the chosen funnel type; you review and adjust the essentials.
Step 2 — Generate
Mass builds a complete system — funnel, copy, emails, ads, and automations — with A-level copy written for your exact audience and offer.
Generation happens in stages. First Mass distills your inputs into the Context Engine: a structured fact-store with the context layer (positioning, awareness stage, beliefs, triggers), the offers (main offer, order bump, upsells, consulting), and the copy bank (headlines, hooks, bullets, testimonials, FAQs). Then it assembles the funnel skeleton and writes each section against that context so nothing contradicts itself.
The result is a draft funnel you can preview immediately — real pages, real copy, your colors and brand voice — rather than a wireframe you still have to write.
One context, every asset
The funnel, emails, ads, and automations all read from the same offer context. Change the price or promise once and every downstream generation reflects it — that's the Context Engine. See the Variable Explorer for the full catalog.
Step 3 — The Fast Launch checklist
After the draft is built, a guided checklist sequences everything left to do — and auto-generates the AI-able steps for you.
The Fast Launch checklist is the spine of the launch. It opens with your funnel already built and walks forward through product setup, content, follow-up, distribution, and going live. Each step is either a manual action (you make a decision or connect an account) or an AI step that Mass can generate in the background.
- Funnel Page Built — your landing page is ready — this is done during onboarding.
- Review & Refine → Open in Editor — surgical per-page tweaks, then the full visual editor for copy, images, and layout.
- Product & Pricing — create your Stripe product with pricing tiers, then build the product content (course curriculum, eBook, or guide).
- Bonuses & Deliverables — stack bonuses with value visualization and configure post-purchase fulfillment and access.
- Ad Copy, Email Sequence & Automation — AI writes multi-platform ads, a 5-email nurture sequence, and wires the triggers, emails, and delays together.
- Thank-You Page → Connect Domain → Setup Tracking → Go Live — confirm the post-purchase page, point your domain, add your pixels/analytics, and publish.
Generate the whole system at once
Every AI step on the checklist can run on its own — or you can fire them all in one click and let Mass build in the background.
The AI-able steps (product content, bonuses, ad copy, email sequence, automation, thank-you page, and more) each carry an estimated credit cost, so you always see the price before you spend. 'Generate All' queues the eligible steps and runs the ones that don't depend on each other in parallel, streaming each into place as it finishes.
Steps that genuinely need you — connecting Stripe, pointing a domain, dropping in pixel IDs, the final go-live decision — stay manual. The checklist tracks completion, surfaces quality scores per step, and offers Smart Skips when a step doesn't apply to your funnel type.
- Credit-aware — each AI step shows its estimated credits and the dialog forecasts the remaining cost before you commit.
- Parallel-ready — independent steps run concurrently so the system assembles faster than running them one by one.
- Smart Skips & templates — skip steps that don't fit, or start from a marketplace checklist template tuned to a funnel type.
- Quality scores — a per-step rubric grades the generated output so you know what's ready and what to review.
Manual where it matters
Anything that touches money, DNS, or third-party accounts (Stripe product, custom domain, tracking pixels, go-live) is deliberately a human step — the AI prepares everything around it but never publishes or charges on your behalf.
Going live
Publishing flips your funnel public, attaches tracking, and opens the campaign dashboard.
When you hit Go Live, the funnel publishes to your domain, your tracking pixel starts collecting visitor events, and the build graduates into a campaign — a living dashboard with KPIs, a health score, and optimization recommendations. From here the work shifts from building to growing.
The Post-Launch Growth checklist
Once go-live completes, a second checklist appears — the growth plan for turning a live funnel into a scaling one.
The Post-Launch Growth checklist is appended after go-live and focuses on optimization and scale rather than build. It picks up where Fast Launch ends: watch the first results, test what converts, retarget and recover, then expand.
- Monitor 48h — watch the first two days of traffic and conversions before changing anything.
- A/B test headlines — pit alternative headlines and CTAs against the control to lift conversion.
- Retargeting ads — re-engage visitors who didn't convert with audience-matched ad sets.
- Cart-abandonment emails — recover drop-offs with a timed follow-up sequence.
- Upsell sequence — add post-purchase upsells to raise average order value.
- Testimonial collection → Scale ads → Affiliate program — gather social proof, scale winning ad spend, and recruit affiliates to widen distribution.
Campaigns: the system after launch
Every launched system is a campaign with its own dashboard — KPIs, a health score, optimization recommendations, and self-healing.
A campaign ties the funnel, emails, ads, and automations together and measures them as one unit. The dashboard rolls up the metrics that matter — visitors, conversion rate, cost per lead, revenue — into a health score and grade, and surfaces concrete optimization recommendations you can act on.
Campaigns are also where ongoing AI help lives: you can regenerate alternatives for any asset, draft new email sequences, and turn on the Self-Healing Pixel to monitor performance and act on problems automatically.
Keep the system improving on its own
The Self-Healing Pixel watches your live metrics and can notify you, suggest fixes, or auto-apply AI-generated alternatives when a rule trips — covered in its own guide.