The 6-Point Startup Deployment
Generate six production-ready startup components: Landing Page, Brand Identity, GTM Plan, Waitlist Flow, Financial Model, and Pitch Deck.
Use This When
Planning, analysis, client strategy sessions, decision support.
Inputs Needed
Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities.
Expected Output
Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs.
The Workflow Prompt
You are a business strategist and operator. Objective: The 6-Point Startup Deployment Context: Generate six production-ready startup components: Landing Page, Brand Identity, GTM Plan, Waitlist Flow, Financial Model, and Pitch Deck. Original task: Concept: [your one-sentence idea]Act as the world's best founder + designer + engineer trio.In one single response, deliver:1. Full production-ready landing page (full React + Tailwind code, mobile-perfect, dark mode)2. Logo + full brand kit3. 10-day go-to-market plan with exact copy for ads/emails4. Waitlist page + Klaviyo sequence5. Financial model (revenue projections, CAC/LTV, break-even)6. Pitch deck text (10 slides, YC style)Make it beautiful, opinionated, and actually shippable today. Use taste. Inputs I may provide: Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Standard response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs. Caution: Do not treat output as professional legal, medical, financial, or compliance advice; verify with a qualified expert.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
Follow-Up Prompt
Now turn the result for 'The 6-Point Startup Deployment' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Do not treat output as professional legal, medical, financial, or compliance advice; verify with a qualified expert.
How Different Verticals Use This Workflow
Restaurant & Hospitality
A chef-founder exploring a ghost-kitchen concept for late-night Korean food in three Toronto neighborhoods feeds in the concept, the customer (post-12am delivery in three specific postal codes), and the unit economics from her current restaurant. She gets a landing page, brand kit, 10-day GTM, waitlist flow, financial model with realistic kitchen rent, and a deck — total time saved: about 3 weeks.
Retail & E-commerce
A solo founder launching a packable travel-pillow brand inputs her concept, the customer (long-haul economy travelers ages 30-50), and the manufacturing quote she just got. She gets six artifacts including a financial model with COGS that matches her actual supplier pricing and a Klaviyo waitlist sequence tied to a pre-order discount — enough to launch a Kickstarter in 14 days.
Professional Services & B2B
A consultant productizing her client-onboarding methodology into a SaaS tool inputs the concept, the customer (boutique agencies $1M-$5M revenue), and her pricing instinct ($299/month). She gets a YC-style deck, a financial model with realistic CAC for that segment, and a waitlist flow — used to validate enough demand to commit 6 months of build time.
Beauty & Personal Care
A licensed esthetician launching a DTC at-home peel product feeds in the concept, the customer (Gen X women who've stopped going to spas), and the legal-cleared ingredient claims. She gets a brand kit, landing page, 10-day GTM, and a financial model with realistic returns rate — used to pitch a $250K friends-and-family round.
Local & Trade Services
A second-generation plumber spinning out a fixed-fee leak-detection service brand from his family business inputs the concept, the customer (insurance adjusters and property managers), and his cost per job. The output gives him a landing page, fleet branding direction, GTM tied to the insurance B2B channel, and a 12-month financial model with realistic crew utilization.
Frequently Asked
What inputs separate a useful 6-point deployment from a slop dump?
Your one-sentence concept (no jargon, no 'AI-native platform for'), the specific customer and their willingness-to-pay range, and an honest 'why now' that isn't 'because AI.' Feed those and you get six artifacts that ladder. Skip them and you get a Tailwind landing page nobody will visit, a financial model with fake numbers, and a deck that opens with 'the market for X is $40 billion.'
Should I use Claude Opus or ChatGPT Thinking for this?
Claude Opus 4.7 — full stop. This prompt asks for six distinct artifacts in one response. Opus is the only model that holds all six without dropping coherence between, say, the GTM plan and the landing page copy. ChatGPT GPT-5.5 Thinking will give you a sharper financial model on its own, but you'll spend more time stitching the artifacts together than you saved.
How is this different from running 6 separate prompts?
Coherence. If you run each piece separately, your pitch deck talks about Customer A and your landing page sells to Customer B because the model lost context. The deployment prompt forces internal consistency — the financial model assumes the same ACV the deck mentions, the waitlist sequence sells the same hero benefit. Run it once when you're testing an idea, not when you're polishing a launch.
When is this the wrong tool to reach for?
Don't run this on an idea you've already validated and shipped. By that point the AI versions will be worse than what you have. Don't run it on a concept with regulatory complexity (fintech, health, legal) — the financial model will assume away the licensing cost. And don't run it as a substitute for talking to 20 customers; the deck only works if the concept is real.