Where to Start: The 5-Minute Starter Prompt
describe your role → where to start
Chapter XI
Cards marked with a teaser are in the Vault. Unlock everything — $97, one time.
describe your role → where to start
quantify AI time savings
clarify what you actually want from AI
listen/assumptions/blind spot/stress test/synthesis
find the limiting bottleneck
Prompt 2: The Bottleneck Detector (Claude) THE PURPOSE : AI only pays off when it improves something that’s currently limiting your business. Most people automate things that feel annoying but aren’t bottlenecks. This prompt maps your actual workflow to find the constraint where AI investment will compound, not just feel productive. SUCCESS METRIC : You can name the single bottleneck that, if relieved by 30-50%, would most improve your revenue or capacity. In Claude: You are a business systems analyst. Help me find my real bottleneck, the one constraint that's limiting my revenue or delivery capacity. ## My business snapshot - What I sell: [YOUR OFFER, e.g., "Done-for-you email marketing for e-commerce brands"] - How I get clients: [YOUR LEAD SOURCE, e.g., "Referrals and cold outreach on LinkedIn"] - Current capacity: [HOW MANY CLIENTS/PROJECTS YOU CAN HANDLE, e.g., "4 retainer clients before quality drops"] - What I spend the most time on each week: [TOP 3 TIME SINKS, e.g., "1) Writing campaign copy 2) Client status updates 3) Prospecting"] ## Common bottleneck categories - Lead flow (not enough qualified prospects entering your pipeline) - Sales conversion (leads come in but don't close) - Fulfillment capacity (you can't take more work without quality dropping) - Support cost (handling issues eats into margin or delivery time) - Content throughput (you can't produce enough material at the quality you need) ## Your task 1. Based on my snapshot, identify which bottleneck category is most likely limiting my growth RIGHT NOW 2. Explain the evidence from my inputs that points to this bottleneck (not generic advice) 3. Describe how relieving this bottleneck by 30-50% would specifically impact my revenue or capacity 4. Suggest 2-3 specific tasks within this bottleneck that AI could handle or accelerate 5. Flag if my inputs suggest a bottleneck I might not see (e.g., "You say fulfillment is the issue, but your lead source suggests pipeline is the real constraint") ## OUTPUT FORMAT **Your bottleneck:** [Category + specific description] **Evidence from your inputs:** [2-3 sentences] **Impact of relieving it by 30-50%:** [concrete outcome] **AI-ready tasks within this bottleneck:** 1. [Task + how AI helps] 2. [Task + how AI helps] 3. [Task + how AI helps] **Blind spot check:** [Any hidden constraint I should consider]
draft the recurring deliverable
Prompt 3: The Draft Machine (Claude) THE PURPOSE : The fastest AI ROI comes from replacing “typing work,” tasks that are mostly words and pattern-matching. But most people just open Claude and type “write me an email” with no context. This prompt turns your most repeated writing task into a structured template you can run in 2 minutes with consistent quality every time. SUCCESS METRIC : You have a reusable prompt template for your #1 writing task that produces 80%+ usable output on the first run. In Claude: You are a prompt packaging specialist. Help me turn my most repeated writing task into a reusable template I can run in under 2 minutes every time. ## The task I repeat most - What I write: [TYPE OF DOCUMENT, e.g., "Client project update emails"] - How often: [FREQUENCY, e.g., "5x per week, one per client"] - How long it takes me now: [TIME, e.g., "20-30 minutes each"] - What makes a good one: [QUALITY CRITERIA, e.g., "Clear status on deliverables, flags any blockers, next steps with dates, professional but warm tone"] - What makes a bad one: [COMMON FAILURES, e.g., "Too vague, missing deadlines, sounds robotic"] ## Example of my best work [PASTE ONE REAL EXAMPLE OF THIS DOCUMENT THAT YOU'RE PROUD OF. This is the most important input. If you have two examples, paste both.] ## Your task Build me a reusable prompt template with: 1. **INTAKE FORM**: A list of 3-7 fill-in-the-blank inputs I complete before running the prompt (e.g., "[CLIENT NAME]", "[DELIVERABLES COMPLETED THIS WEEK]", "[BLOCKERS]"). Keep it to the minimum inputs needed. 2. **PROMPT TEMPLATE**: A complete prompt I can paste into Claude with my inputs filled in. The prompt should: - Reference my tone and style from the example I provided - Include my quality criteria as constraints - Specify the exact output format and length - Include a "do not" list based on my common failures 3. **QUALITY CHECK**: 2-3 yes/no questions I ask myself before sending the output (e.g., "Does every deliverable have a date?" "Would I send this without editing?") ## OUTPUT FORMAT Deliver all three sections clearly labeled and ready to use.
inspect your offer
Prompt 5: The Offer Inspector (Claude) THE PURPOSE : Most people use AI as a writer. A better use is as an inspector. This prompt runs your offer page, proposal, or sales pitch through a structured audit that finds what’s unclear, what objections you’re not addressing, and where you’re leaking conversions. This is Layer 2 of the payoff stack, where profit actually compounds. SUCCESS METRIC : You have a prioritized list of 3-5 specific changes to your offer with clear reasoning for each. In a Claude Project (add your offer docs, FAQ, and best testimonials to the project knowledge base for best results): You are a conversion-focused offer analyst. Audit the offer I've provided and find the gaps that are costing me sales. ## My offer [PASTE YOUR OFFER PAGE COPY, PROPOSAL TEMPLATE, OR SALES PITCH. If it's a URL, paste the full text instead.] ## Context - Who this is for: [YOUR TARGET CUSTOMER, e.g., "E-commerce brands doing $1-5M/year who need email marketing"] - Price point: [WHAT YOU CHARGE] - Main competitor or alternative: [WHAT THEY'D DO INSTEAD OF BUYING FROM YOU] - Most common objection I hear: [THE THING PROSPECTS PUSH BACK ON] ## Run this audit ### 1. Clarity check - Can a reader understand what they get, what it costs, and what outcome to expect within 30 seconds? - Flag any sentences that are vague, jargon-heavy, or could mean multiple things. ### 2. Objection gap analysis - List the top 5 objections a prospect likely has when reading this offer. - For each, note whether my current copy addresses it, partially addresses it, or ignores it entirely. ### 3. Missing elements - Is there a clear guarantee or risk reversal? - Is there social proof or a results claim? - Is there urgency or a reason to act now vs. later? - Is the next step obvious and frictionless? ### 4. Friction points - Where would a motivated buyer hesitate, get confused, or drop off? - What questions would they still have after reading? ## OUTPUT FORMAT **Overall assessment:** [2-3 sentences, honest and direct] **Top 5 changes, ranked by likely impact on conversion:** 1. [Change + reasoning] 2. [Change + reasoning] 3. [Change + reasoning] 4. [Change + reasoning] 5. [Change + reasoning] **Quick wins (under 30 minutes to fix):** [list] **Bigger rewrites needed:** [list with scope estimate]
architect the payoff workflow
pick CASH/TIME/RISK + one metric
score the 30-day ROI
scan competitors
understand Nvidia's AI-demand earnings
Claude becomes a desktop agent
agentic AI on the Galaxy S26
AI-powered cybercrime is here
understand AI capex's macro role
translate logic between domains
tier tasks: automatable/augmentable/high-human
architect an AI-integrated workflow
research grounded in your sources
critique from multiple perspectives
decide what to build this week
gauge an AI project's feasibility
synthesize the week's AI news
find solo-operator AI opportunities
analyze Physical AI's impact on your field
keep/cut/consolidate your AI tools
measure time-to-value for a workflow
build the AI investment case
find undervalued AI wins
rationalize the AI stack quarterly
map the path to revenue
Prompt 5: Timeline-to-Revenue Mapping Pattern: Reverse engineering with milestone decomposition I need to generate [target monthly income] from freelance/portfolio work by [target date]. Current relevant experience: [describe] Current market presence: [describe] Available hours per week: [number] Work backward from this goal to create a realistic timeline: 1. **Revenue Arithmetic** - At what hourly/project rate would I need to work to hit this target? - How many clients/projects does this require monthly? - Is this rate realistic for someone at my experience level in this market? 2. **Pipeline Mathematics** - How many conversations/proposals typically convert to clients? (Use industry benchmarks) - How many leads do I need to generate monthly to hit my client target? - How will I generate these leads, and how long does each method take to produce results? 3. **Ramp-Up Reality** - Month 1-2: What can I realistically accomplish? - Month 3-4: What changes if early efforts succeed/fail? - Month 5-6: What should my business look like at this stage? 4. **Critical Path Items** - What must happen in the first 30 days? - What's the earliest I can realistically expect paid work? - What's the one bottleneck most likely to delay revenue? Flag any assumptions in my plan that don't survive contact with market reality. Be direct about whether my timeline is achievable. Level Up Tips: If the math doesn’t work at realistic rates, you need a different strategy, not more optimism. Ask the AI to cite benchmarks for conversion rates in your specific industry. Build in a 30% buffer on all timelines. First-time freelancers consistently underestimate ramp-up time.
close strategic skill gaps
design your income portfolio
calibrate your risk appetite
where the market actually pays
paths that fit your real constraints
is your infrastructure ready?
learn deeply, avoid tool fatigue
assess the year-ahead AI landscape
sovereignty + tool commitment + engagement rules
protect your own thinking
categorize + preserve cognition in workflows
document the judgment AI can't replace
baseline → verify-questions → check sources
flag claims requiring fact-checking
identify unreliable knowledge areas
test for contradictions + reasoning gaps
distinguish transformation from efficiency gains
govern human+AI collaboration
redesign a workflow AI-natively
brainstorm AI-driven growth
lead AI adoption by example
build the AI investment case
charter an org AI task force
RACI + cadence + 30-day plan
build AI governance
define + report success metrics
assess org AI readiness
30-day tailored curriculum
break complex AI topics into analogies
turn a work problem into a learning project
baseline your AI competency + gaps
test + solidify your understanding
audit your current AI capabilities
roadmap the AI skills to learn
document AI work into a portfolio
position your AI skills in the market
keep skills current over time
give AI enough context to avoid slop
specify the human judgment you add
tailor AI use to the scenario
disclose what AI did / you did / you verified
authenticity/substance/accountability check
diagnose when an LLM is the wrong tool
spot tasks needing exact, repeatable output
combine LLM + deterministic tools
8-question Y/N tool-choice checklist