Person
1 episodes · 21 quoted claims
Mike Lewis says he worked as a portrait painter for almost 20 years until 2016 and owned a fine arts company.
“I was a portrait painter for almost 20 years. I mean, from when I graduated college till 2016, I I painted, uh, portraits and and I owned a fine arts company and and apprenticed a bunch of artists.”
Mike Lewis says he entered the AI field after applying to be a commercial beta tester of OpenAI's DALL-E model.
“I had heard about the DALL-E model from OpenAI and applied to become one of the commercial art's beta testers.”
Mike Lewis says he first ran language models locally on a gaming computer, built a business with medical records clients, and then had his company acquired by Tier One.
“I'm running things locally on my gaming computer, you know, um, and then, um, you know, medical records companies start calling, and, you know, and I build this book of business and and tier one acquires my company.”
Mike Lewis describes TiER1 Performance as an end-to-end organizational performance and transformation partner.
“TiER1 Performance is an end to end organizational performance and transformation partner.”
Mike Lewis says he built a superuser habits index at TiER1 Performance listing 24 habits displayed by AI superusers.
“these are the 24 habits we see superusers displaying.”
Mike Lewis says he took the L0-L3 classification from a Substack article by Peter Yang titled 'Your New Job Is to Onboard AI Agents: How AI Native Companies Actually Operate'.
“Um, I read a Substack article, it was Peter Yang. Um, I'm kinda skimming my screen here for the details on it, but, uh, basically, uh, it was called,”
Mike Lewis says that, as he interpreted the Substack article, being an L0 at the software company Ramp is grounds for dismissal.
“if you're an L0 at ramp, that's grounds for dismissal.”
Mike Lewis says that framing AI adoption as a threat slows adoption, based on the roughly 200 pages of research he reviewed.
“threat framing actually does slow down adoption.”
Mike Lewis says he saw a chart showing AI adoption following nearly the same curve over time as the adoption of personal computers in offices.
“I saw, uh, a chart that showed the adoption rates of personal computers in the office space back when PCs were first released and AI.”
Mike Lewis says he found five categories of L0 non-users, starting with the performative user, and also including the disinterested, the too busy, the job fearful and the quality-concerned.
“I found five major categories, so one is the performative user.”
Mike Lewis says about 6 in 10 of the resistant people he talks to are in the quality-concern group, a figure he says he has seen near 60 percent in research.
“this is actually 6 out of 10 people that we talk to, and I've seen this number in research hover around 60 in more than one place.”
Mike Lewis says TiER1 Performance wants only one L2 non-technical builder per team, because two L2s are not necessarily better than one.
“we only want one of those on each team.”
Mike Lewis says an L3 should work alongside each L2 to make the L2's solutions scalable, durable and compliant with laws and governance policies.
“The L2 can make it uncanny, but the L3 can make it scalable, durable, make a thing that won't break, um, or doesn't break laws, or, you know, violate, you know, governance policies.”
Mike Lewis says the 'AI excited' employees who get the most attention in companies are often not the right people to build AI solutions.
“They're running down the hall, screaming words like nano banana and methos class models.”
Mike Lewis describes a client that is one of the world's top four pharmaceutical companies and had a large document-conversion backlog.
“uh, let's just say one of the top four, um, pharma companies in the world.”
Mike Lewis says the pharma company's document-conversion project was estimated at $4 million.
“it was a $4 million job, it was a $4 million job.”
Mike Lewis says an L2 built a Claude skill for the pharma document conversion within about three hours.
“An L2 took a look at it and said, This feels like a Claude skill. Had the Claude skill built within 3 h.”
Mike Lewis says the Claude skill could process a thousand documents at the same time, completing the job in hours.
“You can also run a thousand concurrently, and like, this whole thing can be done in hours”
Mike Lewis says a good L2 converts tacit knowledge into documented process because an aligned AI model effectively captures how the work is done.
“they're also converting tacit knowledge to documented process. Because once, once an AI model is aligned, uh, now you have documentation.”
Mike Lewis says the average person has about seven careers over their working life.
“I think the average person has seven.”
Mike Lewis says TiER1 Performance holds that making one step faster is not always better because it can create strain on the other parts of a system.
“At tier one, we say, like, faster's not always better, especially when y- it's a, it's. It's a system with a whole bunch of parts”