What investment is rudimentary for billionaires but ‘revolutionary’ for 70,571+ investors entering 2026?
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The scarcity of these treasured artworks has helped drive their prices, in exceptional cases, to thin-air heights, without moving in lockstep with other asset classes.
The contemporary and post war segments have even outpaced the S&P 500 overall since 1995.*
Now, over 70,000 people have invested $1.2 billion+ across 500 iconic artworks featuring Banksy, Basquiat, Picasso, and more.
How? You don’t need Medici money to invest in multimillion dollar artworks with Masterworks.
Thousands of members have gotten annualized net returns like 14.6%, 17.6%, and 17.8% from 26 sales to date.
*Based on Masterworks data. Past performance is not indicative of future returns. Important Reg A disclosures: masterworks.com/cd
Strategy / Productivity
The Seven-Step Framework That Separates AI Power Users From Everyone Else
6 min read
Understanding Machine English: Why Most Prompts Fail
The fundamental mistake people make with AI is treating it like a search engine or a knowledgeable assistant. It's neither. These systems don't understand language the way humans do. They predict it.
When you type "Humpty Dumpty sat on a..." your brain fires the word "wall" before you finish reading. That's prediction, not comprehension. AI works the same way, but instead of understanding context through life experience, it breaks your text into tokens, converts them into mathematical vectors, and calculates probability within a massive numerical space.
This matters because vague inputs produce vague outputs. The quality of what you get back directly reflects the precision of what you put in.
The AIM Framework: Structure Every Prompt
Actor: Define who the AI should be. Not "help me with my resume" but "you are an expert resume editor who has reviewed thousands of applications for senior tech roles."
Input: Provide the context and data needed. Attach files, paste text, describe the situation fully.
Mission: State exactly what you want done. Be specific about format, length, tone, and deliverables.
This three-part structure turns guessing into reasoning. Use it consistently and your results improve significantly right from your first week.
Pick One Tool and Go Deep
The instinct when starting is to test everything at once. This guarantees surface-level understanding of all of them and mastery of none. Musicians who commit to one instrument pick up others faster because they've trained their brain to recognize patterns and practice deliberately. The same applies here.
Choose based on your ecosystem and spend your first week learning its quirks, limits, and strengths. By the end of that week, you should write structured prompts without stopping to think about format.
Building Context With MAP
Every session starts from zero unless you provide continuity. The quality of answers depends entirely on the context you supply going in.
MAP Framework
Memory: Paste summaries from past sessions.
Assets: Attach files and real data.
Actions: Enable tools like search or code.
Prompt: Your instruction, layered on top.
Debugging Patterns
Chain of Thought: "Think step by step."
Verifier: "Ask me three clarifying questions, one at a time."
Refinement: "Propose two sharper versions of my question."
Steer Toward Experts, Away From Mediocrity
Generic prompts produce generic answers. Referencing specific experts, research, and frameworks pulls the model away from the predictable middle and toward sharper, more substantive thinking. If you don't know the experts in a field, ask the model to name them first, then build your next prompt around those names.
Five Verification Filters
Assumptions: "List every assumption and rank by confidence."
Sources: "Cite two independent sources per major claim."
Counter Evidence: "Find one credible source that disagrees."
Auditing: "Recompute every figure. Show your math."
Cross-Model: Run the same prompt across multiple models. Have one critique the other's output.
Develop Taste With OCEAN
Most outputs sound flat and interchangeable. You fix this by pushing the model past the comfortable middle.
OCEAN: Shape the Output
Original: Nonobvious angles. Label one as risky.
Concrete: Real examples with names and numbers.
Evident: Logic visible in three bullets.
OCEAN: Continued
Assertive: Pick a side and defend it.
Narrative: Hook, problem, insight, proof, action.
The Real Skill Being Built
These seven steps are not just about getting better outputs. They're about training yourself to think more clearly, structure problems better, and iterate faster. Every prompt you refine sharpens your judgment. Every output you critique develops your taste.
The gap between people who understand these tools and those who don't is widening quickly. But the path to the top tier is surprisingly clear. Pick one tool. Learn its language. Build context deliberately. Debug your thinking. Steer toward expertise. Verify relentlessly. Develop taste.
Do this for 30 days and you will be ahead of most users. Not because the process is complicated, but because most people never move past the vending machine approach. You will.
Before you go
What is the one habit holding you back from getting more out of the tools you already use?
Hit reply and tell us. We read every single one.
-The Daily Upgrade
PS: If this email lands in promo, could you do me the favour and move this to primary to follow along, it would help a ton, thank you.