It's not sexy to say, but most of AI transformation has nothing to do with AI.
There are 10 steps in the sequence of making an internal process or external product AI-native.
Only 1 step is AI, and ironically, the other 9 steps are the far harder part.
Step 1: Identify the problem
- find the manual process worth automating. turn your brain off autopilot & turn on your "suck meter".
- funny enough, your company becomes more efficient just by mapping out your processes even if you don't introduce AI.
Step 2: Understand the workflow
- Map how people actually work today. grab an 8.5x11 piece of paper or @excalidraw and create a flow chart of the workflow from beginning to end.
- Least sexy part, but generally where the people driving transformation (FDE, GTM engineer, etc) should spend the majority of their time.
- Before you reimagine a process you have to become an expert in that process. Which means you either need to have the business context yourself or absorb it through osmosis (See what @DBredvick did at @vercel)
Step 3: Collect the data
- Gather sample inputs, documents, edge cases
- Example: for my content machine ai workflow, I gathered past slack messages/notion transcripts to test automated ideation & I pulled past X/linkedin posts to build .md files of my content voice
Step 4: Build the prototype [The AI Part]
- Whether its engineer-led or SME-led the goal is to test your hypothesis that there's a better way of doing things for yourself as customer zero. Don't worry about code cleanliness, don't worry about scalability, just worry about proving there's a there there.
Step 5: Test & iterate
- Validate with real users and edge cases
- Before you take the process from single player (only you using it) to multiplayer (many users), you want to beat it up with as many rounds of work & feedback + edge cases as possible. Turning every process into a self-improving loop before scaling is key.
Step 6: Integrate with systems
- Point-in-time data is good for testing the workflow, but live data is necessary before going into production.
- Example: for my content machine, i'm hooked up to notion/gmail/slack for content ideation & i'm hooked up to X & Linkedin to post content once it's ready to go.
Step 7: Roll out & train
- Whether the new process lives on a live link, on GitHub or an internal library, next step is hand-holding your peers/users through the onboarding process of your new workflow/product.
Step 8: Drive adoption
- It's actually pretty simple (just not easy). Introduce a new workflow that saves someone a lot of time and integrates with their already existing behavior so they don't have to deal with re-education.
- Embed the workflow in your culture where adoption is tracked, ideas & feedback are celebrated, and new/creative use cases become social currency in your business.
Step 9: Empower contribution
- Treat your new process like an opensource project. Allow users to become contributors. Whether they are literally pushing code or are simply empowered to add ideas/feedback to a kanban board that gets serviced by engineers, make everyone feel like a builder.
Step 10: Measure & capture value
- Everyone is ROI obsessed atm. If you're in the experimental phase of AI adoption in your company, fuck ROI. The goal is to empower people to throw a lot of shit at the wall & see what's worth focusing on. You don't need to be scientific during this process. Intuition is more than enough in gauging what's working vs. not working.
- If you're in the scale-up phase of AI in your business, and you need to realize hard ROI, you need to reskill employees attached to this process, undershoot your approved hiring roadmap, or measurably increase ACV/conversion rate/sales cycle speed.
"Men with two children had an estimated brain age that was 0.6 years younger than their childless peers had, and for men with three children, it was 0.7 years younger. That’s similar to the brain benefit associated with exercising 2.5 hours a week." https://t.co/28mz6llyyp
Here’s the problem. Trump, Pratt and others say the LA election was rigged. They know it. We know it. Everyone knows it.
Kirsten Welker? She demands evidence. The rest of the corporate media demand to see the evidence. WHERE’S THE EVIDENCE, they scream in unison?
But if a REPUBLICAN won a questionable election, Welker and the entire mainstream media apparatus would have one focus. FIND THE EVIDENCE. In other words, they would do their jobs. Democrats steal an election and they do damage control. They circle the wagons.
They have no interest in breaking the story. That’s why Trump was enraged. That’s why all decent Americans are pissed. The Democrat machine stole the LA election and the media is most definitely a vital part of that machine.
Democrats harvest ballots from homeless encampments and Immigrant support centers and fill the ballots in for the people. Most of them aren't even aware they're voting as the ballots get sent right to NGO's servicing those communities.
They centralized the ballots to a location, pick them up, fill them in as needed, and choose the winners. That's how the last 20 years of California politics have been won by Democrats.
They replicated this nationwide in 2020 with Covid choosing swing states as their focus.
Five days after the LA election, Spencer Pratt falls to third place and a woman who hardly anyone voted for in person, Nithya Raman, totally dominated in mail voting to come in second. No one with a functional brain believes these results.
Predatory? Youth sports is *nuts* but let's not infantilize everyone. The dirty secret is that it is fun to say your kid is on "x" team, to get to know the other parents, to travel with your kid to tournaments and to watch them play. But you can say "no" at any time.
Rotten Tomatoes stared as a simple review site offering a honest "at a glance" understanding of a movie so average people could decide if they want to watch it without needing to fully research some popcorn entertainment on Friday night
Once it became clear that the review score selection was being manipulated to exclude bad reviews and warp perceptions of movies they had to introduce the audience score to restore the idea that there was a way to get the authentic reaction of real people
Audience scores started revealing how fake the critic reviews were so then RT had to start manipulating those as well, so now you have the illusion of choice where you are free to select which score will lie to you in an entirely controlled media environment
This post is not about Rotten Tomatoes
Steven Spielberg’s next film, Disclosure Day, is only 18 days away. In honor of the legend’s next film, I’ve gone ahead and ranked Spielberg’s 10 best films ever. If Disclosure Day even approaches this list, we’re in for a treat.
#10. The Fabelmans (2022; Spielberg)
Just watched this documentary. Here’s my opinion. One of three things happened in that car.
1. She had a medical episode and blacked out.
2. They got into a fight and she said she was going to crash the car, with no real intentions of doing it, and hit a point of no return, panicked and crashed.
3. They were speeding down the street trying to be cool and lost control.
I don’t think from the time she turned on that street calm and safely did she turn into a murderer in a matter of five seconds. She deserves jail for sure but 15 to life for double murder is absurd. 10 years manslaughter would’ve been a fair sentence. And before you ask, if that was my son, I would absolutely want the person to spend the rest of her life in jail. That’s not how it works
@GottliebShow We’ve never had to defend any star like this. “Well, actually, you cant breath on the guy according to rule 1.89765 in the rule book.”
Clown show stuff.