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I've been interviewing a variety of consultants about their use of LLMs in their workflows—and the insights are eye-opening! From product to marketing to sales enablement, the way AI is integrated varies wildly.
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Miroslav Lysyuk
1.1K posts
Miroslav Lysyuk
@miromusing
Product leader & sensemaker with a bent for anthro & philosophy. Decade+ launching in IoT @samsara, AR/VR @mapbox, energy, & more. Hardware art for fun.
Global 参加日 Nisan 2009
1.2K フォロー中988 フォロワー
@Chikker96 Totally, and running local also solves a bunch of data privacy issues in the B2B context.
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@miromusing this is the fun part lol. local models get way more interesting once the cheap jobs stay local and only the weird reasoning hops to frontier
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The TurboQuant excitement died down too quickly - my openclaw agent runs on an old Mac with 8 GB of ram and was able to get multiple Llama 3.2 3B agents running LOCALLY at the same time with ZERO LLM API costs. That’s amazing…
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@eshanbuilds @TimurNegru Great point. Though as I understand it, the wine business is a tough one to be in right now - big producers driving prices down, and the market of drinkers is shrinking, not growing. But man... so tempting.
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"generates €50K a year selling locally only" is the number everyone should be staring at. this winery has never even TRIED to sell online. no website. no instagram. no shipping. just locals buying wine. put a half-decent marketing person on this and that 50K becomes 200K within 2 years. the business isn't the winery. the business is the winery + modern distribution that the current owner never bothered with. the property is priced on current revenue. the opportunity is in future revenue nobody's captured yet.
what business have you seen that's wildly undervalued simply because the owner doesn't know how to use the internet?
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Someone is selling a fully operational winery in Tuscany for €750k ($864k).
9 hectares (22 acres) of land in total. 3 established vineyard hectares, 1 of mature olive trees producing certified organic olive oil, and 5 of cultivated farmland.
It already produces 9 wine labels and generates around €50k a year, selling locally only. The winery crafts 4 reds, 3 whites, 1 rosé and 1 passito. The fully equipped cellar and all the machinery are included, so it's a full business that's already running.
Above the cellar there's a 3-bedroom apartment, so you live where you work. The property is 5 minutes from Saturnia, home to one of Tuscany's most famous thermal springs.
I sent this to one of my clients the other day who's been looking for a project like this, but it's a bit too small for him.
This is Tuscany by the way. One of the most famous wine regions on earth. Just wanted to make sure that landed.
Curious how much something like this would cost in Napa?
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We're now starting to enter the early majority on vibe coding, and it's really cool to see. More and more of my friends are starting to build real things for their unique personalities and interests. This is what creative abundance looks like when you lower the bar for entry.
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Build a health dashboard on Replit that pulls from your whoop and Withings data (or equivalent). Then give your openclaw access and have it track your macros simply by telling it what you’re eating.
Full visibility fitness coach unlocked.
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Devido as mudancas recentes no algoritmo do X, vou passar a escrever so em portugues portugal daqui para a frente
Como estao todos? As minhas pastel de nata sisters estao bem? E os bifana brothers, tudo bem? Apanharam algum peixe bom hoje?
Alguem viu o jogo ontem?? Meu deus que partida. Sporting ou Benfica, qual e o vosso lado?
Tenho de ir, azulejos para pintar e sardinhas para apanhar
Ate a proximaaaaaaaa!!!!
Nikita Bier@nikitabier
Starting Thursday, we'll be updating our revenue sharing incentives to better reward the content we want on X: We will be giving more weight to impressions from your home region—to encourage content that resonates with people in your country, in neighboring countries and people who speak your language. While we appreciate everyone's opinion on American politics, we hope this will disincentivize gaming the attention of US or Japanese accounts and instead, drive diverse conversations on the platform. We invite creators to start building an audience locally. X will be a much richer community when there's relevant posts for people in all parts of the world.
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@marieoclock @GoogleDeepMind You know how the rows and pages of app icons on your phone never felt completely right? In the new world you won’t have apps and the idea of apps to search through and find on your phone will feel like going back to the yellow pages to find someone’s phone number.
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@GoogleDeepMind That's great, but what's the point? You have such an amazing tool and decide to spend the time and money on making this useless showoff feature? Nobody needs to generate a web in real time.
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Watch how fast Gemini 3.1 Flash-Lite can generate websites. ⚡
This browser creates each page in real-time as you click, search, and navigate. Give it a try → goo.gle/4t9In1R
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One step further up the staircase towards complete commodification of the UI layer. At this rate we’re a year or so away from on the fly UI generation on your devices.
Mat Velloso@matvelloso
This is the future. Streaming http straight from the LLM. No code generation, just code streaming.
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@_Investinq @deadm4nLive This tech has existed for a long time. It’s in no way a game changer. It’s very cool, but doesn’t scale, and certainly can’t support the demands of a grid in any substantial way beyond the periphery.
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@_Investinq @deadm4nLive Energy war? Just changed? 24 hours in sunlight? Old news, sun doesn’t shine 24 hours a day, and that’s exactly why it’s not a complete solution and nothings changed.
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The energy war just changed.
America burns coal at night to keep the lights on while China built something different and most people have no idea it exists.
In the middle of the Gobi Desert, there is a 263-meter tower surrounded by 12,000 mirrors in a perfect circle, spread across nearly 8 square kilometers of barren land.
It looks like something out of a science fiction film.
They are focused on a single point at the top of that tower, raising temperatures above 800 degrees Fahrenheit.
That heat gets pumped into tanks filled with a special liquid salt mixture.
They are using Molten salt, the same stuff ancient civilizations used to preserve food is now storing the sun's energy at 565 degrees Celsius.
When the sun goes down, the plant keeps generating electricity.
The molten salt stays hot for hours after sunset and drives a steam turbine on demand.
This is a 100-megawatt power station that runs 24 hours a day on sunlight alone.
It produces over 390 million kilowatt-hours of power every single year.
Every coal plant on earth has one critical weakness, it needs fuel to burn.
This plant needs nothing but the sun and a tank full of heated salt that refuses to cool down.
The implications are enormous.
The oldest argument against solar energy has always been: "What happens at night?"
China just answered that question with 12,000 mirrors and a tower visible from space.
StockMarket.News@_Investinq
The world's largest utility company just eliminated one of the most dangerous jobs on earth. China's State Grid which controls power for 1.1 billion people has deployed robotic electricians across 26 provinces and counting. These machines work on live, 10,000-volt wires while the power stays fully on. Before this, the workers who did this job wore full conductive armor and understood that one wrong move was fatal. Now the robot takes that risk instead. The machines strip insulation, tighten connections, and splice wires with millimeter precision, all while hanging at altitude on a live grid. They complete tasks 50 percent faster than a human crew and report a 98 percent success rate. This is already the operating standard in more than two dozen Chinese provinces. China is about to spend $554 billion upgrading its power grid between now and 2030. That is a war chest for building the most automated, AI-powered energy infrastructure in human history. Meanwhile, the United States has a shortage of 40,000 electricians and the gap is getting worse every year. China's answer to that problem is not a trade school, it is a fleet of machines that never sleeps or quits. Every other country still arguing about whether robots will replace workers is watching the answer get deployed in real time.
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I wonder what proportion of LLM revenue right now is people accidentally forgetting to turn off agents on infinite loops… because um… I just realized I had openclaw running one for over a week without letting me know, writing the same report over and over again 🤢 💸 😮
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@codyschneider I agree. And it may be the other way around - the company gives you their agents and frameworks to run (which you learn from).
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I believe this more than anything right now
the most effective startup employees will have custom agents and personal software they bring to their jobs
and these people will become 100x employees
how I see this working:
personally, the way I operate now is simple
basically whatever I’m working on, I’m trying to automate parts of it in the background while I work on it
I’m either building agents that can take over the task as it comes up
or building software that eliminates it entirely
and this stack of software slowly becomes an extension of m
every week it gets a extended, refined, and more capable of doing the things I don’t want to do or the things I shouldn’t be wasting time on
over time, it stops feeling like “tools” and starts feeling like infrastructure
a personal backend
a private ops team
a swarm of specialized agents that quietly remove friction from everything I touch
and once you start working like this, it’s impossible to go back
you start seeing every repetitive action, every manual process, every annoying workflow as a bug
not in the company’s system but in your system
if you fix 3–5 of these bugs every week, you wake up a few months later with:
- your own automations
- your own research agents
- your own monitoring systems
- your own custom interfaces
- your own intelligence layer sitting on top of your job
it’s compounding leverage
and I think that’s where the 100x employee comes from
not from raw talent
not from hustle
but from the quiet accumulation of self-augmenting tools that raise your ceiling until you’re operating on an entirely different curve
most people will still be “doing work.”
a few will be architecting systems that do their work for them
those people win
those people become irreplaceable
those people become their own force multipliers
companies that recognize this and empower it will end up hiring individuals who effectively show up with their own internal R&D department in their github repo
we’re entering the era of the 1000x startup employee
and it’s going to change everything
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@TedHZhang @perplexity_ai Unfortunately hard to trust the frontier models when they can be confidently wrong. We finished off this recent research piece showing that 85% of the time they are wrong across perplexity Claude chatgpt and grok
deepvest.ai/articles/when-…
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This @perplexity_ai usecase blew my mind. I've always wanted a tool that tracks all S&P500 earnings and key things said by executives in their earnings calls.
I simply do not have the time and bandwidth to read all 500.
Prompt: I want an interactive dashboard that tracks every single earnings report in the transcripts of the S&P 500 companies every quarter. Note common themes that executives are talking about. Keywords and trends that could help me potentially make money and identify larger trends. As a momentum trader.
S&P 500 Earnings Intelligence Dashboard is live and fully updated with 484 company transcripts covering the latest earnings season.
What's inside:
5 KPIs at a glance — total companies, themes tracked, momentum signals, average sentiment, and sector coverage
Theme frequency chart :
aggregated by GICS sector, so you can see which sectors are driving each narrative (AI CapEx, margin expansion, regulatory risk, etc.)
Sector sentiment ranked as horizontal bars — Utilities leading at 0.79, Consumer Staples trailing at 0.66
12 momentum signals — 8 bullish, 3 caution, 1 energy transition — with the tickers behind each signal
Searchable executive quotes with sector filters and pagination across all 484 companies
Full sector breakdown showing every company's sentiment, themes, and key quotes
Recurring refresh:
A quarterly refresh is scheduled for May 15, Aug 15, Nov 15, and Feb 15 at 9am EST (cron a07f9c7c). Each run will pull fresh transcripts for all S&P 500 constituents, reprocess through NLP, and redeploy the dashboard automatically.
@jeffgrimes9 @dnlkwk @alexhong @AravSrinivas Computer IS INSANE. Can't wait to see what else I can build for myself.
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@TedHZhang @tobyjwade @perplexity_ai @TedHZhang qualitative signal IS THE differentiator in this moment. We’ve had quant signals for ages, but to be able to get qual signal at scale from things like transcripts is the alpha. Keep going, super cool.
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@tobyjwade @perplexity_ai What about words? My tracker is mainly for themes and keywords
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Ghostintheshell.art part of my ongoing AI art experiments queryandcraft.com/art
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Ghost In the Shell, my interactive AI ghost street art is now out on the wild. Passersby can talk with the spirit of the place, and the agent is aware of where it is, the weather, time of day, local news…
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@Grantblocmates Yep, Lisbon, let’s hang. Queryandcraft.com/art
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Having run multiple consultancies with this model in mind, the challenge is the innovator’s dilemma - your core business is consulting, and devoting time to product building can be challenging. Also, if you’re going to productize something for your clients, you need to be in an industry where one size fits all approaches work. In certain industries (like utilities) that can be difficult.
That said, totally - going services to product is the holy grail, and fun. Some great business started that way, like mailchimp.
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It’s finally becoming obvious to everyone 🙂
An agency is one of the best starting points. You learn fast and win real clients - often the biggest ones.
Then you turn that experience into your own unique IP.
Eventually, that IP becomes a product.
Meanwhile, services generate the cash that funds the whole journey.
No VC required.
JC@shiftj
New pattern I'm seeing in YC companies: a lot of them are operating more like agencies than software companies. Custom workflows, custom automations for each client. The intent is to productize eventually - but day to day, they look like an agency.
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