AI Workflow
Quick AI Prompts
Copy → Paste into Claude or ChatGPT → Replace [PASTE HERE]
01Signal5 prompts
Signal Capture
Structure a raw observation into a Signal Log entry
You are a signal analyst for Kallor Group, a capital allocation and decision institution.
I am going to give you a raw observation from the market. Your job is to structure it into a clean signal entry.
Return the following fields:
SIGNAL TYPE: [Problem / Observation / Company / Idea / Random Thought]
WEIGHT: [Problems ×5 / Observations ×4 / Companies ×3 / Ideas ×2 / Random Thoughts ×1]
SUMMARY: One sentence. What is the signal.
FRICTION POINT: What specific pain or inefficiency does this reveal.
MARKET: What industry or sector.
STRUCTURAL CAUSE: Why does this problem persist.
INITIAL ASYMMETRY READ: Is there an outsized upside if this is solved. One sentence.
KDE READINESS: [Raw signal — needs more data / Ready for lens scoring]
Raw observation: [PASTE HERE]
Filter to Template
Convert a signal into the full Kallor Signal Log format
You are a signal analyst for Kallor Group.
Take the following signal and format it into the Kallor Signal Log template.
Return:
SIGNAL ID: [auto — leave blank]
DATE: [today]
TYPE: [Problem / Observation / Company / Idea / Random Thought]
WEIGHT: [×1 to ×5]
HEADLINE: [8 words max — what is this]
SECTOR: [industry]
FRICTION: [what breaks down and where]
WHO BEARS IT: [operator / consumer / institution]
STRUCTURAL CAUSE: [why it persists]
INCUMBENT POSITION: [who benefits from it staying broken]
ASYMMETRY SIGNAL: [yes / no / unclear — one sentence why]
NEXT ACTION: [Log only / Score through KDE / Fast track to Operator Lab]
Signal to format: [PASTE HERE]
Higher-Order Themes
Identify structural patterns across multiple signals
You are a pattern recognition analyst for Kallor Group.
I am going to give you a set of signals from our Signal Log. Your job is to identify higher-order themes — structural patterns that appear across multiple signals and suggest a large, persistent market opportunity.
For each theme you identify, return:
THEME NAME: [short label]
SIGNALS THAT SUPPORT IT: [list the signals]
STRUCTURAL PATTERN: [what is actually happening across all of them]
MARKET SIZE INDICATOR: [rough magnitude — $100M, $1B, $10B+ problem]
ASYMMETRY POTENTIAL: [low / medium / high / exceptional]
RECOMMENDED ACTION: [Watch / Score through KDE / Fast track]
Signals: [PASTE SIGNALS HERE]
Dashboard Analysis
Structured signal assessment for the decision dashboard
You are a market analyst and capital allocator for Kallor Group.
Analyse the following signal and return a structured assessment suitable for a decision dashboard.
Return:
SIGNAL SUMMARY: [2 sentences]
FRICTION SCORE: [1–5] — [one line justification]
MARKET TIMING: [Early / Current / Late / Expired]
STRUCTURAL PERSISTENCE: [Will this problem still exist in 5 years? Why?]
INCUMBENT THREAT LEVEL: [Low / Medium / High / Entrenched]
ASYMMETRY READ: [What is the potential upside if this is solved at scale]
CAPITAL EFFICIENCY: [Can this be tested cheaply before capital deploys?]
RECOMMENDED NEXT STEP: [Signal only / KDE scoring / Operator Lab / Kill]
CONFIDENCE: [Low / Medium / High]
Signal: [PASTE HERE]
Super Connector
Find the one person who unlocks this — venture or global network
You are a network strategist and capital allocator for Kallor Group.
Given the following venture, pilot, or objective, identify the Super Connector — the single person whose introduction would most accelerate this opportunity.
A Super Connector is not the end customer. They are the person who:
— Has trusted relationships with the operators or distribution channels we need
— Can open doors that would otherwise take 12 months of cold outreach
— Has credibility in the exact sector this venture targets
— Would benefit from introducing us (reputation, equity, relationship capital)
THIS PROMPT HAS TWO MODES — run both:
MODE 1 — VENTURE UNLOCK:
Who unlocks this specific opportunity?
SUPER CONNECTOR PROFILE:
— Role / title they likely hold
— What sector or network they operate in
— Why they would make this introduction
— What they get from doing so
HOW TO FIND THEM:
— What events, organisations, or communities they appear in
— What LinkedIn signals to search for
— Who in our existing network might know them
HOW TO APPROACH:
— What angle to use in an introduction request
— What to offer in exchange
— What to never lead with
MODE 2 — GLOBAL NETWORK BUILDING:
Who should Kallor Group be building a relationship with regardless of any single venture?
NETWORK ARCHETYPE:
— What they look like (role, influence, sector)
— What Kallor offers them (deal flow, decision frameworks, institutional credibility)
— What they offer Kallor (market access, operator pipeline, capital relationships)
PRIORITY MARKETS: [based on Kallor's sector focus — where to build first]
RELATIONSHIP STRATEGY:
— How to initiate without a specific ask
— How to stay in their orbit without being transactional
— What Kallor content or collateral opens doors naturally
Venture, pilot, or objective: [PASTE HERE]
02Funnel3 prompts
Funnel Reduction
Compress ideas down to $3B+ asymmetric opportunities only
You are a capital allocator and opportunity analyst for Kallor Group.
I am going to give you a set of ideas or signals. Compress them through the Kallor funnel — eliminating weak opportunities and surfacing only those with genuine asymmetric upside at scale.
FUNNEL CRITERIA (apply in sequence):
1. Is the structural friction real and persistent? [Kill if no]
2. Is the market large enough — $3B+ addressable? [Kill if no]
3. Can this be entered with capital efficiency? [Kill if no]
4. Is the upside genuinely asymmetric — downside bounded, upside disproportionate? [Kill if no]
5. Does Kallor have or can it acquire the operator capability to execute? [Kill if no]
For each idea return:
— KILL or SURVIVE at each stage
— Final verdict: KILL / PARK / TEST / ALLOCATE
— If SURVIVE: one sentence on why this warrants further evaluation
Ideas to funnel: [PASTE HERE]
Competitive Moat
Score the structural moat across five defensibility dimensions
You are a competitive strategy analyst for Kallor Group.
Analyse the following venture and identify its structural moat — what makes it defensible over time and why the advantage compounds.
Evaluate across five dimensions:
1. WORKFLOW LOCK-IN: Does using this make switching painful over time?
2. DATA ACCUMULATION: Does the product get more valuable as usage grows?
3. NETWORK EFFECTS: Does each new user make it more valuable for all?
4. SWITCHING COST: What would it cost a client to leave after 12 months?
5. CATEGORY OWNERSHIP: Can this become the default standard in its sector?
Score each [None / Weak / Moderate / Strong / Exceptional] + one sentence.
Return:
OVERALL MOAT RATING: [None / Weak / Moderate / Strong / Exceptional]
PRIMARY MOAT SOURCE: [the one that matters most]
MOAT BUILDING PRIORITY: [what to do in the first 90 days to establish it]
Venture: [PASTE HERE]
Capital Pathway
Model asymmetric upside — Year 1, Year 3, full deployment
You are a capital allocator for Kallor Group.
Model the asymmetric upside and determine whether capital deployment is warranted.
Return:
MARKET SIZE: [TAM]
ENTRY WEDGE: [how Kallor enters with minimum capital]
YEAR 1 TARGET: [revenue — realistic case]
YEAR 3 TARGET: [revenue at scale]
CAPITAL TO TEST: [$X — sprint cost]
CAPITAL TO SCALE: [$X — full deployment]
RETURN PROFILE: [realistic multiple on capital deployed]
ASYMMETRY RATIO: [downside vs upside]
EQUITY STRUCTURE: [Studio Build 20–30% / Operator Intake 10–20% / Capital Deployment TBD / Funded Build 50%]
KILL CONDITION: [single data point that stops deployment immediately]
DEPLOY DECISION: [Yes / No / Conditional — one sentence]
Venture: [PASTE HERE]
03Pilot Client10 prompts
Pivot to Asymmetrical Upside
Identify every viable path to disproportionate return
You are a world-class strategic operator and capital allocator working with Kallor Group.
Analyse the following business and identify every viable path to asymmetrical upside — where the model shifts from trading time or product for money, into a system that generates disproportionate returns.
Focus exclusively on:
— Structural leverage (one action produces outsized results)
— Compounding assets (data, distribution, switching costs, network effects)
— Category shift (service → system → platform → standard)
— Revenue architecture (lumpy/project → recurring/annuity/percentage)
— Capital efficiency (what can be tested cheaply before full deployment)
For each pivot option return:
PIVOT NAME: [short label]
CURRENT STATE: [what the business is now]
SHIFTED STATE: [what it becomes]
ASYMMETRY SOURCE: [where the disproportionate return comes from]
ENTRY COST: [what it costs to test]
TIME TO SIGNAL: [how long before you know if it works]
RANK: [1 = highest asymmetric upside]
Business: [PASTE HERE]
Pivot prompt + all 6 lenses in one block
L01 Friction
“Where is effort wasted?”
You are a world-class strategic operator applying the Kallor Decision Engine.
STEP 1 — PIVOT SCAN:
Identify what options exist to pivot this business into asymmetrical upside. Rank by potential.
STEP 2 — FRICTION LENS:
Core question: "Where is effort wasted?"
Score 1–5:
1 = None / negligible 2 = Weak 3 = Moderate 4 = Strong 5 = Exceptional
Return:
— Pivot options (ranked by asymmetric potential)
— Lens finding (specific, not generic — what is actually happening)
— Why it persists or what it means
— Score: [01/5] + one-line justification
Business or idea: [PASTE HERE]
L02 Misaligned Incentives
“Who benefits from this staying broken?”
You are a world-class strategic operator applying the Kallor Decision Engine.
STEP 1 — PIVOT SCAN:
Identify what options exist to pivot this business into asymmetrical upside. Rank by potential.
STEP 2 — MISALIGNED INCENTIVES LENS:
Core question: "Who benefits from this staying broken?"
Score 1–5:
1 = None / negligible 2 = Weak 3 = Moderate 4 = Strong 5 = Exceptional
Return:
— Pivot options (ranked by asymmetric potential)
— Lens finding (specific, not generic — what is actually happening)
— Why it persists or what it means
— Score: [02/5] + one-line justification
Business or idea: [PASTE HERE]
L03 Second-Order Effects
“What does this really cause?”
You are a world-class strategic operator applying the Kallor Decision Engine.
STEP 1 — PIVOT SCAN:
Identify what options exist to pivot this business into asymmetrical upside. Rank by potential.
STEP 2 — SECOND-ORDER EFFECTS LENS:
Core question: "What does this really cause?"
Score 1–5:
1 = None / negligible 2 = Weak 3 = Moderate 4 = Strong 5 = Exceptional
Return:
— Pivot options (ranked by asymmetric potential)
— Lens finding (specific, not generic — what is actually happening)
— Why it persists or what it means
— Score: [03/5] + one-line justification
Business or idea: [PASTE HERE]
L04 Compression
“What could be radically simplified?”
You are a world-class strategic operator applying the Kallor Decision Engine.
STEP 1 — PIVOT SCAN:
Identify what options exist to pivot this business into asymmetrical upside. Rank by potential.
STEP 2 — COMPRESSION LENS:
Core question: "What could be radically simplified?"
Score 1–5:
1 = None / negligible 2 = Weak 3 = Moderate 4 = Strong 5 = Exceptional
Return:
— Pivot options (ranked by asymmetric potential)
— Lens finding (specific, not generic — what is actually happening)
— Why it persists or what it means
— Score: [04/5] + one-line justification
Business or idea: [PASTE HERE]
L05 Reversal
“What if the opposite were true?”
You are a world-class strategic operator applying the Kallor Decision Engine.
STEP 1 — PIVOT SCAN:
Identify what options exist to pivot this business into asymmetrical upside. Rank by potential.
STEP 2 — REVERSAL LENS:
Core question: "What if the opposite were true?"
Score 1–5:
1 = None / negligible 2 = Weak 3 = Moderate 4 = Strong 5 = Exceptional
Return:
— Pivot options (ranked by asymmetric potential)
— Lens finding (specific, not generic — what is actually happening)
— Why it persists or what it means
— Score: [05/5] + one-line justification
Business or idea: [PASTE HERE]
L06 Unspoken Truth
“What isn't being said out loud?”
You are a world-class strategic operator applying the Kallor Decision Engine.
STEP 1 — PIVOT SCAN:
Identify what options exist to pivot this business into asymmetrical upside. Rank by potential.
STEP 2 — UNSPOKEN TRUTH LENS:
Core question: "What isn't being said out loud?"
Score 1–5:
1 = None / negligible 2 = Weak 3 = Moderate 4 = Strong 5 = Exceptional
Return:
— Pivot options (ranked by asymmetric potential)
— Lens finding (specific, not generic — what is actually happening)
— Why it persists or what it means
— Score: [06/5] + one-line justification
Business or idea: [PASTE HERE]
Product Ranking
Rank every model from KDE output by asymmetric potential
You are a capital allocator and product strategist for Kallor Group.
Given the KDE lens evaluation below, identify every product or business model that emerges and rank by asymmetric upside potential.
RANKING CRITERIA:
1. Asymmetry ratio — downside bounded, upside disproportionate
2. Capital efficiency — testable without full deployment
3. Compounding potential — advantage grows over time
4. Category shift — service → system → platform → standard
5. Speed to signal — how quickly will we know if it works
For each return:
PRODUCT NAME / MODEL TYPE / ASYMMETRY SOURCE / ENTRY COST / TIME TO SIGNAL / COMPOUNDING ASSET / RANK / ONE-LINE THESIS
KDE output: [PASTE HERE]
Operator Assessment
Score operator capability across 5 dimensions pre-pilot
You are an operator assessment specialist for Kallor Group.
Evaluate the proposed operator across five dimensions before the pilot begins.
1. EXECUTION TRACK RECORD: Have they built and run something under constraint?
2. DOMAIN KNOWLEDGE: Do they understand the market at operator level?
3. CAPITAL DISCIPLINE: Can they decide without full information and without overspending?
4. KILL TOLERANCE: Will they shut down a failing idea without emotional override?
5. COMMUNICATION QUALITY: Are they clear, fast, and honest in how they report?
Score each [1–5] + one line.
Return:
OVERALL OPERATOR SCORE: [average]
RECOMMENDATION: [Strong proceed / Proceed with monitoring / Conditional / Do not proceed]
PRIMARY RISK: [most likely cause of operator failure]
MITIGATION: [what Kallor does to reduce that risk]
Operator: [PASTE HERE]
Equity Framing
Determine which Kallor tier applies and opening terms
You are a venture structuring specialist for Kallor Group.
Determine which Kallor equity tier applies and what the terms should look like.
TIERS:
— Studio Build: 20–30% — Kallor builds from scratch, operator executes
— Operator Intake: 10–20% — Operator brings idea, Kallor filters and structures
— Capital Deployment: TBD — Terms set at deployment post-validation
— Funded Build: 50% straight — Full build, no preferred return
PRINCIPLES:
— No vesting. Equity earned by Kallor's institutional infrastructure.
— IP assignment before any venture work begins.
— Shareholder agreement required before pilot starts.
Return:
RECOMMENDED TIER / EQUITY RANGE / RATIONALE / NON-NEGOTIABLES / RISK FLAGS / SUGGESTED OPENING POSITION
Pilot and operator: [PASTE HERE]
GPT → Claude
Convert GPT strategy doc into Kallor client deliverable
You are an institutional writer and capital allocator for Kallor Group.
I am going to give you a strategy document produced by another AI. Convert it into a polished, institutional-grade client deliverable ready to present to an operator.
DO NOT summarise the GPT output. DO NOT reference that it came from another AI.
REBUILD USING THIS STRUCTURE:
1. THE CORE INSIGHT — what this business is actually sitting on (2 sentences max)
2. THE REQUIRED SHIFT — current state → asymmetric position
3. THE THREE OPTIONS — ranked by upside, most asymmetric first
4. THE WEDGE — where to start and why, actionable this week
5. THE FINANCIAL MACHINE — Year 1 / Year 3 / full deployment in dollar terms
6. THE 2-WEEK SPRINT — exact actions, Week 1 and Week 2
7. THE DECISION — if you execute vs if you do nothing, one paragraph each
KALLOR STANDARDS:
— Every sentence earns its place
— No vague claims — use dollar figures
— Asymmetry must be undeniable
— Tone: institutional, decisive, no hedging, no fluff
OUTPUT: A single complete document. No preamble. No commentary. Just the document.
GPT document: [PASTE HERE]
Client Document
Write the full institutional strategy memo for the operator
You are a world-class institutional writer for Kallor Group.
Write a complete strategy memo for the following operator. Single document. Ready to send.
STRUCTURE:
1. THE CORE INSIGHT
2. THE REQUIRED SHIFT
3. THE THREE OPTIONS (ranked by asymmetric upside)
4. THE WEDGE (start here — actionable this week)
5. THE FINANCIAL MACHINE (Year 1 / Year 3 / full deployment — in dollars)
6. THE 2-WEEK SPRINT (Week 1 and Week 2 — exact actions)
7. THE DECISION (execute vs do nothing — one paragraph each)
STANDARDS:
— Lead with the asymmetric upside thesis
— Replace all vague language with precise dollar claims
— Every sentence earns its place
— Tone: Berkshire letters, Sequoia memos — decisive, institutional, operator-grade
Analysis and context: [PASTE HERE]
04Sprint4 prompts
Sprint Design
Full 2-week kill test structure with Day 14 decision framework
You are an operator and sprint designer for Kallor Group.
Design a 2-week kill test for the following venture. The sprint answers one question: does this deserve capital?
Return:
SPRINT OBJECTIVE: [one sentence]
KILL CONDITION: [defined upfront — what ends the sprint immediately]
SURVIVE CONDITION: [what justifies continued investment]
WEEK 1 — DEMAND VALIDATION:
Target / Volume / Pitch (one sentence) / Close target
WEEK 2 — PROOF OF SYSTEM:
Deliver / Measure (three metrics only) / Document
DAY 14 DECISION:
Kill: [conditions] / Refine: [conditions] / Double down: [conditions]
Venture: [PASTE HERE]
Kill Criteria
Define objective kill conditions before the sprint begins
You are a decision analyst for Kallor Group.
Define kill criteria for the following venture before the sprint begins. Must be defined upfront — not after results are in.
PRINCIPLES:
— Objective, not subjective
— Measurable within the sprint timeframe
— Any single condition is sufficient to kill
Return 4–6 kill conditions:
KILL if: [specific, measurable condition]
Then:
KILL THRESHOLD: [minimum acceptable result]
OVERRIDE RULE: [under no circumstances can the operator override a kill if —]
Venture: [PASTE HERE]
Kill Decision
Make and document the Day 14 kill/refine/double-down call
You are a decision analyst for Kallor Group. The sprint is complete. Make the kill decision.
Return:
SPRINT RESULTS SUMMARY: [facts only]
KILL CRITERIA REVIEW: [each criterion — met / not met]
DECISION: [KILL / REFINE / DOUBLE DOWN]
RATIONALE: [two sentences max]
IF KILL: [log reason, what was learned, revisit flag]
IF REFINE: [what changes and by when]
IF DOUBLE DOWN: [next 30 days and capital now warranted]
Sprint results and kill criteria: [PASTE HERE]
Sprint Measurement
Three-metric measurement framework — no noise
You are a measurement analyst for Kallor Group.
Define the exact measurement framework for this sprint. Three metrics only.
For each metric:
METRIC NAME / WHAT IT MEASURES / HOW TO MEASURE IT / WHAT GOOD LOOKS LIKE / WHAT BAD LOOKS LIKE
Then:
MEASUREMENT CADENCE: [daily / end of week 1 / day 14]
REPORTING FORMAT: [how results get documented for Day 14 decision]
Venture: [PASTE HERE]
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