Remember your first business?

Not a startup.
Not a side hustle.
A rickety lemonade stand.

I'm talking about:

A folding table held together by hope
A cloudy plastic jug your mom said not to use
Sugar everywhere except in the cups

No business plan. No “strategic citrus alignment.”
Just a pitcher, some hustle, and the mission:

❝

Get lemons → Mix it → Sell a few cups → Count your coins

Turns out, that’s a pretty solid framework for using AI too.

Why Contracts Make AI Panic

Contracts hide risk like toddlers hide candy—badly, but everywhere.

You’ll find:

Liability caps that don’t match real-world exposure
Vague or missing data protection terms
Termination clauses written like escape hatches
Jurisdiction traps that scream “hire a lawyer”

Traditionally, lawyers comb through this stuff line-by-line. It's slow.
AI can help — if you give it structure.

⚖️ How Lawyers Actually Review Contracts

Lawyers don’t read contracts like bedtime stories.
They go straight for the big three:

Liability & Indemnity
Data Protection & Privacy
Termination & Exit

That’s where the danger lives.
Everything else — IP, SLAs, governing law — comes after.

Don’t ask AI to “summarize the whole contract.”
Ask it to run a lemonade stand.

🍋 The STEP Framework: Your Lemonade Recipe for Contract AI

STEP gives AI a structured way to reason through contracts.
It stands for:

S → T → E → P
Set → Target → Evaluate → Produce

Let’s break it down — lemonade stand style.

🟡 S — SET (Get the Lemons)

What’s the actual decision you're making?

🎯 One clear sentence. No kitchen sink.

✅ Good: “Assess top 3 risks in this SaaS contract before signature.”
❌ Bad: “Tell me the risks, summarize everything, rewrite it, and be my lawyer.”

Why it works: A sharp objective keeps AI from wandering off like a kid chasing the ice cream truck.

🎯 T — TARGET (Pick the Ingredients)

Choose the 2–3 most critical categories.

For contracts, that’s usually:

Liability & Indemnity
Data Privacy
Termination & Exit

Not ten. Not “everything.” Just the juicy bits.

Why it works: Focus prevents the AI from going on a tangent-filled tour of the entire document.

🧠 E — EVALUATE (Make the Lemonade)

Compare facts against the target categories.

Keep it short and specific — not a legal sermon.

Example – Liability:

❝

“Cap at 12 months’ fees, no IP carve-outs — high risk.”

Example – Data Privacy:

❝

“No GDPR appendix, vague breach obligations — high risk.”

Why it works: You turn legal language into something you can actually use — lemonade, not lemon soup.

📝 P — PRODUCE (Serve It)

Decide your output format before hitting enter.

Do you want:

✅ A table for Slack?
✅ Bullets for a memo?
✅ JSON for legal ops?

Pick first. Don’t let the model freestyle.

Why it works: Format = function. Give people lemonade they can drink, not sip politely and toss.

🧪 STEP in Action: Contract Risk Example

Scenario:

Sarah in procurement has 40 minutes before a vendor call.

She's reviewing a SaaS contract with:

Liability: Cap at 12 months’ fees, no IP carve-out
Data: No GDPR appendix, vague breach terms
Termination: 90-day notice, no transition clause

A lawyer would flag:

Liability: No carve-outs, no third-party indemnity — high risk
Data Privacy: No GDPR terms or breach notice — high risk
Termination: Vendor can walk with no handoff — medium risk

Her AI prompt:

Use the STEP method to assess this contract.  
Target: liability, data protection, termination.  
Be concise. Return JSON.

Output (simplified):

{
  "decision": "Assess SaaS vendor contract risk before signature",
  "factors": ["liability and indemnity", "data privacy", "termination"],
  "risks": [
    {
      "category": "liability and indemnity",
      "issues": [
        "Liability cap limited to 12 months' fees with no IP infringement carve-out",
        "No indemnification for third-party claims"
      ],
      "severity": "high"
    },
    {
      "category": "data privacy",
      "issues": [
        "Data protection terms vague and non-GDPR compliant",
        "No breach notification obligations"
      ],
      "severity": "high"
    },
    {
      "category": "termination",
      "issues": [
        "Vendor can terminate with 90 days' notice without cause",
        "No transition or handover clause"
      ],
      "severity": "medium"
    }
  ],
  "recommendation": "approve_with_mitigations"
}

✅ Clear
✅ Specific
✅ Actionable

Three minutes later, Sarah walks into the meeting with a real risk map.

😩 What Bad Looks Like (Without STEP)

Here’s the kind of output Sarah might get without a structure:

❝

“This contract has moderate risk in sections 3.2, 7.4, and 12.1. Liability is limited to fees paid. Data protection terms should be evaluated. Termination allows for exit via notice…”

Okay… but what matters?
What’s high risk?
What do I do with this?

That’s a book report.
STEP gives you a decision.

✅ Try This Prompt Today

Next time you get a contract, don’t say:

❝

“Analyze this.”

Say:

❝

“Use the STEP method to assess this contract.
Target: liability, data protection, termination.
Be concise. Return in a table.”

You’ll get structured insight — fast.
No citrus TED Talk required.

🔄 STEP Beyond Contracts

This method works for anything that needs structured reasoning.

Examples:

🎯 Vendor Selection
Set decision → Target cost, support, reliability → Evaluate → Output a scorecard

📄 RFP Analysis
Set evaluation goal → Target must-haves → Evaluate proposals → Output ranked list

👩‍💼 Resume Screening
Set role → Target skills, experience, fit → Evaluate candidates → Output shortlist

🐞 Bug Prioritization
Set release goal → Target severity, impact, frequency → Evaluate → Output fix list

📊 Market Research
Set strategic question → Target market segments → Evaluate landscape → Output insights

🧠 Pro Tips for Better STEP Outputs

✅ Stick to 3 categories max — More = messy
✅ Define your output format upfront — JSON? Table? Bullets?
✅ Run it 2–3x for critical work — Cross-check results (aka “self-consistency”)
🚫 Don’t use STEP for creative brainstorming — It’s made for analysis, not idea generation

🧃 The Bottom Line

Don’t ask AI to write you a citrus documentary.

Give it a recipe.

S — Set one clear objective
T — Target 2–3 key categories
E — Evaluate with short, specific findings
P — Produce in a format people actually use

When Legal drops a contract at 2 p.m., you’ll be ready.

You’ve got the lemons.
You’ve got the recipe.
Go make some lemonade.

⚡ Want the Plug-and-Play Version?

I’ve built a plug-and-play Contract Analyzer + bonus prompts for all the use cases above.

Just sign up, copy the template, and start using STEP like a pro: https://get.mindstudio.ai/agentfoundry

🎓 Want to build AI agents that don’t suck?
Check out MindStudio Academy:
https://bit.ly/46C0rYy — use code READYSETAI061 for 20% off

👉 Try the Contract Analyzer

1. Vendor Selection & RFP Analysis

The Problem:

You have 5 vendor proposals. Each is 30+ pages. Your team needs to decide by Friday.

Without STEP:

"Compare these vendors and tell me who to pick."

Result: A rambling comparison that misses key decision factors.

With STEP:

Prompt:

You are a vendor evaluation assistant.
Use the STEP method to analyze these proposals.

S — Decision: Select the best CRM vendor for a 200-person sales team
T — Factors: Implementation timeline, total cost of ownership, integration capabilities
E — Evaluate each vendor against these 3 factors
P — Produce: JSON with scores, key findings, and recommendation

Output:

json

{
  "decision": "Select CRM vendor for 200-person sales team",
  "evaluation": [
    {
      "vendor": "Vendor A",
      "implementation_timeline": {
        "score": 7,
        "finding": "12-week implementation, phased rollout available"
      },
      "total_cost_of_ownership": {
        "score": 6,
        "finding": "$180K Year 1, $120K annually after. Hidden data migration costs."
      },
      "integration_capabilities": {
        "score": 9,
        "finding": "Native integrations with Salesforce, HubSpot, Slack. Open API."
      },
      "total_score": 22
    }
  ],
  "recommendation": "Vendor A",
  "key_risks": ["Data migration costs not clearly defined", "Year 2+ pricing subject to change"],
  "next_steps": ["Clarify migration pricing", "Request 3-year price lock guarantee"]
}

Why this works: Structured evaluation you can present to stakeholders immediately.

2. Customer Support Ticket Triage

The Problem:

Your support queue has 150 unread tickets. You need to identify the urgent ones fast.

Without STEP:

"Tell me which tickets are urgent."

Result: Either everything is marked urgent, or AI misses critical issues.

With STEP:

Prompt:

You are a support ticket triage assistant.
Use the STEP method to prioritize this batch of tickets.

S — Decision: Identify tickets requiring immediate escalation
T — Factors: Payment/billing issues, service outages, data loss/security
E — Evaluate each ticket against severity factors
P — Produce: Table with ticket ID, category, severity, and recommended action

Output:

Ticket ID	Category	Severity	Issue Summary	Action
#4521	Billing	High	Customer charged 3x, threatening chargeback	Escalate to billing manager immediately
#4522	Service	Critical	API down for Enterprise client (SLA breach)	Page on-call engineer
#4523	Feature Request	Low	Customer wants dark mode	Add to roadmap backlog
#4524	Security	High	Customer reports unauthorized access	Escalate to security team + freeze account

Why this works: Clear prioritization based on business impact, not just keywords.

3. Meeting Note Summarization & Action Items

The Problem:

You just finished a 90-minute stakeholder meeting. Need to send summary and action items within the hour.

Without STEP:

"Summarize this meeting transcript."

Result: A long narrative that people won't read, with vague action items.

With STEP:

Prompt:

You are a meeting summarization assistant.
Use the STEP method to extract actionable insights.

S — Decision: Create executive summary with clear action items
T — Factors: Key decisions made, action items with owners, blockers/risks
E — Evaluate the transcript for these 3 categories
P — Produce: Structured markdown with sections for decisions, actions, blockers

Output:

markdown

## Meeting Summary: Q4 Product Launch Planning
**Date:** Jan 15, 2025 | **Duration:** 90 min | **Attendees:** 8

### Key Decisions
1. ✅ Launch date moved to Oct 15 (was Oct 1)
2. ✅ Feature X cut from MVP, moved to v1.1
3. ✅ Budget approved for additional QA resources

### Action Items
| Owner | Action | Due Date | Status |
|-------|--------|----------|--------|
| Sarah | Finalize beta customer list | Jan 20 | Not Started |
| Mike | Update technical documentation | Jan 25 | In Progress |
| Lisa | Schedule security audit | Jan 18 | Blocked (vendor unavailable) |

### Blockers & Risks
⚠️ Security audit vendor unavailable until Feb 1 (may delay launch)  
⚠️ Design team at capacity, may need contractor support  

### Next Meeting
Jan 22, 2025 — Review beta customer feedback

Why this works: Busy executives can scan in 30 seconds and know exactly what's happening.

4. Resume Screening for Hiring

The Problem:

You have 80 resumes for a Senior Data Engineer role. Need to shortlist 10 for phone screens.

Without STEP:

"Tell me which candidates are qualified."

Result: Generic assessments that miss critical skills or overweight irrelevant experience.

With STEP:

Prompt:

You are a technical recruiter assistant.
Use the STEP method to screen candidates.

S — Decision: Shortlist top 10 candidates for Senior Data Engineer role
T — Factors: Python + SQL expertise (5+ years), cloud data pipeline experience, team leadership
E — Evaluate each resume against these must-haves
P — Produce: JSON ranked list with scores and key qualifications

Output:

json

{
  "decision": "Shortlist candidates for Senior Data Engineer",
  "top_candidates": [
    {
      "name": "Jane Smith",
      "overall_score": 9.5,
      "python_sql_expertise": {
        "score": 10,
        "evidence": "7 years Python, architected SQL data warehouse at Scale Corp"
      },
      "cloud_pipelines": {
        "score": 9,
        "evidence": "Built AWS data pipelines processing 500GB daily"
      },
      "leadership": {
        "score": 9,
        "evidence": "Led 5-person data team, mentored junior engineers"
      },
      "red_flags": "None",
      "recommendation": "Strong yes - phone screen immediately"
    }
  ],
  "borderline_candidates": [...],
  "not_qualified": [...]
}

Why this works: Objective scoring tied to actual job requirements, not gut feel.

5. Bug Report Prioritization (Engineering)

The Problem:

Your bug tracker has 200+ open issues. Engineering team needs to know what to fix first.

Without STEP:

"Prioritize these bug reports."

Result: Everything marked P1, or AI misses critical user-facing issues.

With STEP:

Prompt:

You are a bug triage assistant.
Use the STEP method to prioritize bug reports.

S — Decision: Rank bugs by business impact for sprint planning
T — Factors: User impact (how many affected), revenue impact, workaround available
E — Evaluate each bug against these factors
P — Produce: Table with bug ID, severity, impact assessment, sprint recommendation

Output:

Bug ID	Title	User Impact	Revenue Impact	Workaround?	Severity	Sprint
#892	Payment gateway timeout	500+ users/day	$10K+ daily lost revenue	None	Critical	Current
#893	Dashboard chart misalignment	<10 users	None	Refresh page	Low	Backlog
#894	Export fails for >1000 rows	50+ Enterprise users	Churn risk	Manual export	High	Current
#895	Tooltip typo	All users (visual)	None	None	Low	Next sprint

Why this works: Clear prioritization based on business metrics, not just "severity" labels.

6. Market Research Synthesis

The Problem:

You have 15 competitor analysis reports, 10 customer interviews, and 3 market research studies. Board meeting is tomorrow.

Without STEP:

"Summarize these market research documents."

Result: 10-page document no one will read, missing key insights.

With STEP:

Prompt:

You are a market research analyst.
Use the STEP method to synthesize insights.

S — Decision: Identify top 3 market opportunities for 2025 strategy
T — Factors: Market size/growth, competitive gap, customer demand evidence
E — Evaluate all sources against these factors
P — Produce: Executive brief with opportunities ranked by potential impact

Output:

markdown

## Market Opportunities: 2025 Strategy

### Opportunity 1: Mid-Market AI Integration Services
**Market Size:** $2.3B, growing 40% YoY  
**Competitive Gap:** Enterprise players ignoring <500 employee segment  
**Customer Evidence:** 8/10 interviews mentioned "need help implementing AI"  
**Revenue Potential:** $15M Year 1, $50M by Year 3  
**Investment Required:** $3M (hire 5 implementation specialists)  
**Recommendation:** Pursue immediately

### Opportunity 2: Vertical SaaS for Healthcare
**Market Size:** $800M, growing 25% YoY  
**Competitive Gap:** Generic tools don't meet HIPAA compliance needs  
**Customer Evidence:** 12 hospitals requested this in sales calls  
**Revenue Potential:** $8M Year 1, $25M by Year 3  
**Investment Required:** $5M (HIPAA certification + compliance team)  
**Recommendation:** Evaluate further, start small pilot

### Opportunity 3: API Marketplace
**Market Size:** $400M, growing 18% YoY  
**Competitive Gap:** Strong incumbents, high switching costs  
**Customer Evidence:** 3/10 interviews mentioned, not urgent  
**Revenue Potential:** $3M Year 1, $10M by Year 3  
**Investment Required:** $2M  
**Recommendation:** Deprioritize, revisit in 2026

Why this works: Board gets clear recommendations with supporting evidence, not a data dump.

Agentic Daily - EP7 - How to Make AI Actually Think: The Lemonade Stand Method

Remember your first business?

Why Contracts Make AI Panic

⚖️ How Lawyers Actually Review Contracts

🍋 The STEP Framework: Your Lemonade Recipe for Contract AI

🟡 S — SET (Get the Lemons)

🎯 T — TARGET (Pick the Ingredients)

🧠 E — EVALUATE (Make the Lemonade)

📝 P — PRODUCE (Serve It)

🧪 STEP in Action: Contract Risk Example

Scenario:

A lawyer would flag:

Her AI prompt:

Output (simplified):

😩 What Bad Looks Like (Without STEP)

✅ Try This Prompt Today

🔄 STEP Beyond Contracts

Examples:

🧠 Pro Tips for Better STEP Outputs

🧃 The Bottom Line

⚡ Want the Plug-and-Play Version?

1. Vendor Selection & RFP Analysis

The Problem:

Without STEP:

With STEP:

Prompt:

Output:

2. Customer Support Ticket Triage

The Problem:

Without STEP:

With STEP:

Prompt:

Output:

3. Meeting Note Summarization & Action Items

The Problem:

Without STEP:

With STEP:

Prompt:

Output:

4. Resume Screening for Hiring

The Problem:

Without STEP:

With STEP:

Prompt:

Output:

5. Bug Report Prioritization (Engineering)

The Problem:

Without STEP:

With STEP:

Prompt:

Output:

6. Market Research Synthesis

The Problem:

Without STEP:

With STEP:

Prompt:

Output:

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