The Handyman Ken Protocol: How We Automate Integrity.

// --------------------------------------------------------- // MODULE 01: THE BASELINE AUDIT & DISCOVERY // --------------------------------------------------------- /* PROMPT 01: TIME_MOTION_SIMULATOR Goal: Identify hidden waste in a specific industry workflow. */ ACT_AS: "Process Efficiency Engineer" CONTEXT: "I run a [YOUR_INDUSTRY, e.g., Dental Practice]." TASK: "Simulate a 'Time and Motion Study' for a single client lifecycle, from initial inquiry to final payment." OUTPUT: "Identify the 3-5 specific steps where the most non-value-added time (waiting, chasing info) likely occurs." /* PROMPT 02: BLACK_HOLE_DETECTOR Goal: Find the exact point where leads are lost. */ TASK: "I suspect my 'Black Hole' (where leads die) is between [STEP_A] and [STEP_B] in my sales process." ACTION: "List 5 specific data points or timestamps I should start tracking today to prove exactly how long that delay is." /* PROMPT 03: CALCULATE_BLEED_RATE Goal: Generate the 'Opportunity Cost' number for the spouse/boss. */ INPUT_VAR: Sale_Value = "$[AMOUNT]" INPUT_VAR: Profit_Margin = "[%]" INPUT_VAR: Lost_Leads = "[NUMBER/MONTH]" TASK: "Calculate my annualized 'Opportunity Cost' based on these variables." OUTPUT: "Draft a persuasive paragraph I can show my boss to justify spending $100/month to fix this bleed." /* PROMPT 04: VSM_GENERATOR Goal: Visualize the Green Valley vs. Red Ridge. */ INPUT_DATA: "Here is my manual workflow: [LIST_STEPS, e.g., 1. Email received, 2. Wait 2 days, 3. Reply]." TASK: "Visualize this as a Value Stream Map." OUTPUT: "Categorize each step as either 'Value Added' (Green Valley) or 'Non-Value Added Waste' (Red Ridge)." /* PROMPT 05: FRICTION_AUDIT Goal: See the business through the customer's eyes. */ ACT_AS: "Impatient Customer" TASK: "You are trying to hire a [YOUR_SERVICE]. List the 5 most annoying friction points you encounter with typical businesses in this sector." ACTION: "Suggest one specific AI automation that would eliminate the biggest friction point." // --------------------------------------------------------- // MODULE 02: THE BOUNCER CONFIGURATION // --------------------------------------------------------- /* PROMPT 06: STANDING_ORDERS_GENERATOR Goal: Define the qualifying criteria for the AI. */ CONTEXT: "I am building an AI gatekeeper for my [INDUSTRY] business." TASK: "Define the 'Standing Orders.' What are 5 crucial data points (e.g., location, budget) it MUST extract before passing a lead to me?" /* PROMPT 07: DECISION_MATRIX Goal: Teach the AI when to say YES and when to say NO. */ TASK: "Create a logic matrix for an [INDUSTRY] receptionist." OUTPUT: "List 3 criteria that trigger a 'Hard No' (Polite Decline) and 3 criteria that trigger a 'Soft Yes' (Schedule Calendar)." /* PROMPT 08: PERSONA_DEFINITION Goal: Prevent the AI from sounding like a robot. */ PLATFORM: "Breezy.ai / Vapi" TASK: "Define a voice persona for my [BUSINESS_TYPE]. Give it a name, a specific tone (e.g., 'Friendly but Firm'), and an opening greeting script." /* PROMPT 09: EDGE_CASE_HANDLER Goal: Safety scripts for confused/angry users. */ SCENARIO: "The user is asking questions the AI cannot answer." TASK: "Script three polite, de-escalating responses that gently push the user toward voicemail or email without hallucinating an answer." /* PROMPT 10: RISK_SLIDER_CALIBRATION Goal: Determine the level of autonomy (Level 2 vs Level 4). */ INDUSTRY: "[HIGH_RISK_INDUSTRY, e.g., Law Firm]" TASK: "Define 'Level 2 Autonomy (Human-in-the-Loop)' for my intake process." QUESTION: "What specific 'Check-Gate' must a human perform before the AI is allowed to send the final response?" // --------------------------------------------------------- // MODULE 03: ZAPIER & API ARCHITECTURE // --------------------------------------------------------- /* PROMPT 11: JSON_PARSER_LOGIC Goal: Convert messy emails into structured data. */ INPUT_TEXT: "[PASTE_MESSY_EMAIL_HERE]" TASK: "Write a System Prompt for Gemini API to extract data from this text." REQUIREMENT: "Output must be clean JSON with keys: {Name, Phone, Service_Type, Urgency_Score}." /* PROMPT 12: ZAPIER_WORKFLOW_BUILDER Goal: Map the tool connections. */ TOOLS: "[Email Provider] + [Gemini API] + [CRM/Action App]" TASK: "Outline the specific Zapier Trigger, Action, and Filter steps needed to connect these three tools into a seamless automation." /* PROMPT 13: HALLUCINATION_DEBUGGER Goal: Fix the AI when it categorizes things wrong. */ ERROR: "My AI categorized 'installing a ceiling fan' as 'HVAC work' (Incorrect)." TASK: "Rewrite the System Prompt to clearly distinguish between 'Minor Electrical' and 'Major HVAC' work." /* PROMPT 14: SECURITY_EXPLAINER Goal: Convince IT/Compliance to approve the tool. */ TOPIC: "Enterprise API vs. Public Chatbot" TASK: "Provide 3 bullet points explaining why using the Gemini API via Zapier is more secure and private than pasting customer data into ChatGPT." /* PROMPT 15: ESTIMATOR_LOGIC_V1 Goal: The 'Future State' prompt for pricing. */ INPUT_LIST: "Raw materials (e.g., 10 2x4s, 1lb screws)." DATABASE: "CSV file of current prices." TASK: "Write the logic prompt that tells the AI to look up each item in the CSV and calculate a total estimated material cost." // --------------------------------------------------------- // MODULE 04: TESTING & IMPLEMENTATION STRATEGY // --------------------------------------------------------- /* PROMPT 16: SILENT_MODE_CHECKLIST */ GOAL: "Deploy a 14-day 'Silent Mode' sandbox test." TASK: "Create a 10-point Quality Assurance checklist. What specific metrics should I review daily before turning the system live?" /* PROMPT 17: AUDIT_LOG_ANALYZER */ DATA: "[PASTE_SPREADSHEET_OF_AI_PREDICTIONS_VS_REALITY]" TASK: "Analyze this discrepancy data. Identify the top 2 patterns where the AI failed and suggest prompt improvements." /* PROMPT 18: EXECUTIVE_PITCH_DECK */ ROLE: "Middle Manager in [DEPT_NAME]." GOAL: "Pitch a $100/mo pilot program similar to Ken Kring's system." OUTPUT: "Draft a 1-page Executive Summary focusing on: Efficiency, Low Cost, and the Safety/Sandboxing protocol." /* PROMPT 19: 4_WEEKEND_PLAN */ CONSTRAINT: "I work 60 hours a week. I have very little free time." TASK: "Break down this implementation into a '4-Weekend Plan.' Assign exactly one manageable technical task per weekend to get this running in 30 days." /* PROMPT 20: USE_CASE_TRANSLATOR */ SOURCE_MODEL: "Trigger -> AI Analysis -> Route (The Handyman Model)" MY_ROLE: "[YOUR_JOB_TITLE, e.g., Recruiter]" TASK: "Translate this architecture to my role. What is my 'Trigger'? What is my 'Routing Action'?" // --------------------------------------------------------- // MODULE 05: ADVANCED MOVES & ROI // --------------------------------------------------------- /* PROMPT 21: INVOICE_PARSER */ INPUT: "[PASTE_SMS_THREAD_WITH_AGREED_PRICE]" TASK: "Extract the 'Final Agreed Price' and 'Work Description' from this text." OUTPUT: "Format it so it can be pasted directly into a Square Invoice description field." /* PROMPT 22: VOICEMAIL_TRIAGE_BOT */ GOAL: "Stop listening to 3-minute voicemails." TASK: "Design an automation flow that transcribes voicemail, summarizes it into one sentence, and assigns a 'Urgency Score' (1-5)." /* PROMPT 23: COMPETITOR_SNOOP */ ACT_AS: "Business Strategist" TASK: "How can I use AI to estimate how much business my local competitors are picking up simply because they answer the phone faster than I do?" /* PROMPT 24: SCALING_LOGIC */ SCENARIO: "I am expanding from 1 crew to 2 crews." TASK: "How do I adjust my Zapier logic to handle 'Round-Robin' scheduling between two different Google Calendars?" /* PROMPT 25: THE_KILL_SHOT_ROI */ PRE_AUTO_STATS: "Hours_Admin=[X], Close_Rate=[Y%]" POST_AUTO_STATS: "Hours_Admin=[LOWER_X], Close_Rate=[HIGHER_Y%]" COST: "$100/month" TASK: "Calculate my monthly ROI percentage and the 'Payback Period' in days."