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stop asking Claude one question and thinking you understand the topic. you don't.
Stanford proved a better way. it's called STORM. peer reviewed. 25% more organized output. open source.
the trick: don't ask one question. ask five. from five different experts.
>the practitioner: what do they know that academics miss?
>the skeptic: what's the strongest counterargument?
>the economist: who profits from the current narrative?
>the historian: what pattern has played out before?
>the academic: what does the evidence actually say?
4 prompts. 5 minutes. no software. no GitHub. just paste into Claude.
single prompts give you what everyone already knows.
STORM gives you what nobody else found.
this article has all 4 prompts ready to copy. pick your hardest topic. paste prompt 1. you'll know more in 5 minutes than people who spent days reading.
I quoted a client $25,000 for a build. He didn't blink, because 20 minutes earlier he told me the problem was costing him $250k a year.
That's the whole secret to pricing ai automation projects. The price never comes from you. It comes from them. Your job is to pull the cost of their problem out of their own mouth, in their own numbers, then build the price on top of that.
Here's the full process (bookmark this):
1. Run the discovery call to quantify the pain.
The only goal of this call is to get one number out of them: what the problem actually costs. So you ask:
Walk me through how this works today, start to finish.
1. Where does it slow down or break the most?
2. How many hours a week does your team spend on it?
3. Who's doing that work and what do they cost per hour?
4. How often do things go wrong, and what does one mistake cost to fix?
5. What's this stopping you from doing that would actually grow the business?
By the end you should be able to say a real number back to them. "So this is costing you somewhere around $250k a year." And they agree, because it's their math, not yours.
2. Lock in the stakes.
1. What happens if this isn't fixed in the next 6 months?
2. What have you tried already, and why didn't it stick?
Now the problem has a price tag and a deadline.
3. Run the strategy call against that number.
You never pitch a $25k build into silence and nothing beside it. You pitch it against the $250k they told you they're bleeding every year. Same project with a completely different conversation. The price stops sounding expensive and starts sounding obvious.
Do the discovery right and you're simply doing the math they handed you.
There's an AI business model that hasn't blown up yet but will be HUGE within a year:
"Second Brain as a Service"
Businesses need their company context organized so AI can effectively use it.
Here's the play:
1. Charge 2-5K to build the knowledge base
2. Load their existing data
3. Create the schema/rules for how it gets organized
4. Charge $500-$1K/mo to maintain it
5 industries that desperately need this:
1. Agencies
Build a client delivery brain:
-past proposals
-call transcripts
-client notes
-campaign reports
-SOPs
Skill/plugin idea: "Client Context Retriever" that pulls the right client history before calls, reports, and strategy work.
2. Coaches/consultants
Build a content + offer brain:
-frameworks
-client questions
-sales calls
-testimonials
-old posts
Skill/plugin idea: "Offer Angle Finder" that turns repeated customer language into post ideas, emails, and sales assets.
3. Local service businesses
Build an operations brain:
-quote templates
-customer FAQs
-technician notes
-intake forms
-reviews
Skill/plugin idea: "Quote Prep Assistant" that drafts the first version of a quote using the customer's request + company rules.
4. Ecommerce brands
Build a customer/research brain:
-reviews
-support tickets
-product specs
-ad comments
-competitor notes
Skill/plugin idea: "Customer Voice Miner" that finds recurring objections, product issues, and ad angles.
5. Real estate teams
Build a deal/context brain:
-property notes
-buyer preferences
-neighborhood research
-past messages
-follow-up history
Skill/plugin idea: "Deal Brief Generator" that prepares the agent before every showing or follow-up.
The entire business model is making a company searchable, usable, and easier to operate with AI.
Google CEO, Sundar Pichai:
"If you don't learn to how to orchestrate agents now, you'll spend 2027 catching up to people who started today"
In 30 minutes he explains why the best engineers stopped writing code and started running agents.
Watch the interview, then save the exact setup below 👇
Upon public disclosure of the full scope of Sorsby’s gambling activity, Texas Tech University had a clear and immediate obligation to declare him ineligible for game participation, while allowing him to remain on the roster and receive support services. Instead, TTU affirmatively chose not to take that basic safeguarding step, thereby converting a manageable compliance issue into a self‑inflicted public‑relations and reputational disaster.
Upon public disclosure of the full scope of Sorsby’s gambling activity, Texas Tech University had a clear and immediate obligation to declare him ineligible for game participation, while allowing him to remain on the roster and receive support services. Instead, TTU affirmatively chose not to take that basic safeguarding step, thereby converting a manageable compliance issue into a self‑inflicted public‑relations and reputational disaster.
The University of Michigan has canceled a scheduled volleyball match against Texas Tech and UM plans to hold further discussions with its athletic staff on prohibiting contests against the Red Raiders, similar to Nebraska and Georgia, sources tell @YahooSports.