80% of effective AI output comes from context and setup.
Only 20% comes from the actual question you ask. This is the opposite of how most founders use AI.
Jumping straight to questions without providing context.
“Write me an email to a prospect.” Then wondering why the output is generic and useless.
Build reusable context blocks you paste before any question.
Create a library of prepared context. Stop starting from zero every time.
This document gets pasted at the start of every business-related prompt. Update it monthly.
Prospect research: Transform 30 minutes of manual research into 5 minutes. Find pain points, personal connections, decision makers.
Cold outreach, follow-ups, social content: All personalized at scale.
Structured thinking for important choices:
Get comprehensive pros and cons, hidden risks, alternative approaches.
SOP creation: Document any repeatable process with step-by-step instructions, quality checks, troubleshooting guidance.
Describe what happens. Let AI structure it properly.
Each template includes your business context automatically.
Single prompts work for simple questions.
Complex tasks need chaining - a sequence of prompts where each builds on previous output.
Think of it as collaborative work, not magic automation.
Step 1: Identify patterns from customer calls
Step 2: Rank by importance and intensity
Step 3: Generate actionable insights
Step 4: Create follow-up questions
Six connected steps producing complete positioning strategy.
Model Context Protocol lets AI connect to your apps without manual copy-paste.
This is the next evolution beyond manual prompting.
Slow, repetitive, friction-filled.
Ask: “Summarize unread emails from prospects and draft responses”
AI connects to Gmail automatically, reads, analyzes, drafts, presents summary for your review.
Gmail: Summarize customer support emails, draft responses, find emails about specific topics
Google Drive: Summarize documents, find inconsistencies, identify gaps
Slack, Notion, Calendar, Database: Direct access and intelligent analysis
Beyond text, AI generates visual content for marketing and social.
Subject + Style + Setting + Lighting + Mood + Technical specs + Brand elements
Example: “Modern workspace with laptop showing analytics dashboard, minimalist aesthetic, natural window light, professional atmosphere, shallow depth of field”
Personal prompts: Voice profile, background, communication templates, content creation templates
Business prompts: Company context, research templates, operations templates, strategy templates
Keep in Google Doc, Notion database, or text file in cloud storage.
Copy relevant context before every AI conversation.
The more you use these templates, the faster your AI work becomes.
Building this library takes focused time upfront.
But each template gets reused dozens of times.
When 80% of your prompt is ready to paste, every AI interaction becomes 10x more effective.
Stop writing prompts from scratch every time.
Build a library of reusable context and proven templates. Use chaining for complex tasks.
The founders who build great prompt libraries compound their AI advantage over time.
What you will create:
Next week: AI Advanced - Agents and autonomous operations