I DON'T UNDERSTAND WHY PEOPLE DON'T USE GROK FOR CRYPTO.
MOST TRADERS ARE LOOKING AT CHARTS FROM 3 MONTHS AGO.
GROK ANALYZES REAL-TIME SENTIMENT ON X TO ANTICIPATE TOMORROW.
HERE ARE 8 PROMPTS TO FIND THE NEXT 10X GEM:
Deleting one habit from your AI agent cuts roughly 20% of every response with zero information loss.
The habit is the trailing summary. Your agent finishes a task, then tells you what it just did. You already have the output sitting right above the recap. Reading it twice adds nothing.
That's the biggest single cut. Two more rules get you the rest.
1. Kill the trailing summary
"In summary, I have done X, Y, and Z." Every one of those sentences describes something visible directly above it. If the output is readable, the meta-commentary is dead weight. Write the rule into your agent's spec once and it stops forever.
2. One sentence before any tool call
Your agent should say what it's about to do in a single sentence, then do it. "Checking the supplier file." That's the whole preamble. No hypotheses before the data arrives, no three-sentence setup explaining its reasoning, no listing what it might find.
This one is the largest daily quality-of-life change in the list. Preambles show up before every single tool call, so the waste compounds across a session in a way trailing summaries never quite manage.
3. Build a minimal mode
Wire a trigger so that "quick," "briefly," or "just the answer" drops every structural element and returns the direct answer alone, with no headers, no framing, and no options attached.
Richness stays the default because most of the time you want the full treatment. But brevity should cost you one word, not a follow-up message asking your agent to try again shorter. An agent you have to fight for a short answer is an agent that wastes your time twice.
Start with the trailing summary rule. It's one line in your spec and you'll notice the difference in the next response.
Your AI agent saves files wherever seems reasonable. Six months later, the same file type lives in seven places.
Nothing went wrong on any single occasion. Each save made sense at the time. That's the failure mode. Reasonable judgment applied a hundred times without a written rule produces a structure nobody can work in, including the agent that built it.
Four rules hold the structure together.
1. The root stores nothing
Outputs go to a dated workspace folder. Projects go under projects. Knowledge goes under knowledge. Memory goes in its own hidden folder. The root exists for navigation, not storage.
Treat this as absolute. One file saved to the root because it did not fit anywhere else becomes twenty within weeks, because the exception is now precedent.
2. A routing table for every file type
Write one document that maps file types to destinations. User-facing outputs go here. Research reports go here. Standard operating procedures go here. Brand assets go here. Session archives go here.
The table is the decision. Without it your agent falls back on judgment, and judgment is exactly what produces seven locations for one file type.
3. A deprecated path map
Your structure will change. When you rename a folder, record the old path and the new one in a mapping table, then have your agent substitute the canonical path whenever a skill or instruction references a dead one.
This matters most during a migration. Old path assumptions sit baked into dozens of skill files, and without the map you find them one broken reference at a time.
4. A decision tree for what an item is
Before your agent creates anything, it should classify. An external counterparty and a sale makes a sales deal. An external counterparty and a purchase makes a procurement deal. No counterparty, a deadline, and multiple steps makes a project. A single action makes a task. No deadline at all makes a note.
Without this tree, your agent creates items wherever feels natural and your data model stops meaning anything.
Write the routing table first. One page, one destination per file type, and your agent stops guessing on the next save.
A dead MIT professor accidentally destroyed the $20 billion executive coaching industry with one hour of lecture, and ten million people have already watched him do it.
He filmed it once in January 2018 and died eighteen months later.
Executive coaches charge fifteen thousand dollars a session to teach a third of what he covered in that one hour for free.
His name was Patrick Winston. He ran the MIT Artificial Intelligence Laboratory from 1972 to 1997 and wrote the AI textbook every computer science major in the world read for thirty years.
Every January for four decades, he gave a lecture called "How to Speak."
His entire framework fits on a napkin.
Do not read. Be in the image. Keep images simple. Eliminate clutter. Start with an empathetic connection. End with a punch line the audience can repeat over dinner. Never open with a joke. Never end with "thank you."
That last rule alone has probably cost the executive coaching industry a hundred million dollars.
"Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas. In that order."
That is the actual opening line of the lecture. Winston believed it strongly enough to spend fifty years teaching computer scientists how to talk.
Founders spend $80,000 on an MBA and then hire a communications coach to teach them the same material Winston filmed once for free. Engineers write brilliant code and lose promotions to teammates who watched this lecture on the train.
The lecture is free on MIT OpenCourseWare. The textbook is free on his page.
Winston died in 2019. Almost none of the ten million viewers have actually implemented the four rules on the napkin.
The napkin is free. The willingness to actually use it in your next meeting is the entire edge.
🚨Este discurso de elon vale oro.
En 2003, con 32 años, Elon Musk entró a una sala cerrada en Stanford y en 45 minutos destrozó todo lo que creías saber sobre startups.
Vale más que 10 libros juntos.
Desglosó, capa por capa, cómo llevó de cero a sobrevivir las 3 empresas que tenía en ese momento:
Zip2
PayPal
y SpaceX (que acababa de fundar un año antes)
Cómo encontrar dirección cuando nadie cree en ti.
Cómo controlar costos hasta el último centavo.
Cómo mantenerte vivo cuando el dinero se está acabando.
Cómo resolver cualquier problema con primeros principios.
20 años después… sigue siendo oro puro.
Guárdalo. Vas a necesitarlo.
Bro… el ingeniero que CREÓ Claude Code soltó un video de 28 minutos y me voló la cabeza
Olvídate de los prompts genéricos que todo el mundo copia y pega
Este tipo te enseña exactamente cómo sacar el 300% de Claude: archivos CLAUDE.md, memoria permanente, sesiones paralelas y trucos de prompting que nadie te cuenta
Pagué cursos de 300 dólares que no llegan ni a la mitad de lo que él explica en los primeros 10 minutos
Y lo mejor: es gratis
No importa si estás empezando o si ya programas todo el día…
después de ver esto vas a usar la IA de una forma que ni sabías que existía
Guárdalo. Vas a volver mil veces 🔖
It's so easy to make generational wealth in crypto.
All you have to do is buy and hold for right time.
Yesterday, you could’ve bought 1% of $ANSEM supply for just $1,800.
24 hours later, that same bag would be worth $1.8M.
That’s a 1000x in ONE day
Ansem breaks down how to trade social trends
"AI's gotten so much attention, but there are a lot of other sectors that haven't gotten as much attention"
"It's like how do I find the narratives that aren't popular yet, and benefit before they pop?"
"There are social trends happening all around you and there's always a company benefiting from them. The skill is figuring out which company is attached to that trend and how to make money on it"
$Bull new profile pick looking even more bullish
this could be the mascot that represents solana in the next bull run
you are positioned or sidelined for what’s coming?