Colors of Tech & Entrepreneurship

In episode 93 of Colors of Tech & Entrepreneurship, Lam sits down with Leone Parise, co-founder and CTO of Trace Finance: the Brazil-and-US-based cross-border payments infrastructure company that has moved over $10 billion for institutional clients including some of the largest global payment companies operating in Latin America. Before Trace, Leone was one of the first engineers at Trust Wallet, joining when the team was three or four people and the wallet had roughly 50,000 users. He left two and a half years later with more than 15 million.

Leone doesn't hedge. He explains why building wallets and blockchains are terrible business models, how Trust Wallet actually made money, and why he thinks the overwhelming majority of blockchains launched in the last few years add no real value. He walks through the mechanics of moving money out of Brazil — the compliance documents, the week-long FX exposure banks force on you, and the exit tax that jumped roughly tenfold overnight — and explains why treasury management, not transaction fees, is the actual secret sauce of every fintech you admire.

The second half turns into one of the most candid AI conversations we've had on the show. Leone lays out why he sees quantum computing as mostly hype, why AI's real breakthrough is collapsing non-polynomial problems into fixed time, and why he's deliberately gone back to writing his own code and emails after noticing his own skills eroding. He argues the layoff-because-of-AI narrative is mostly investor theater, that "not your keys, not your coins" becomes "not your weights, not your AI," and that the real singularity happened 500 years ago with the printing press. He closes with an argument that there has never been a better time to build.

⌛ Timestamps:
00:00:00 Episode trailer
00:00:35 Show & guest introduction
00:07:00 Inside early Binance and scaling Trust Wallet to 15M users
00:17:15 How a crypto wallet actually makes money
00:25:28 Quantum computing: hype or real threat?
00:37:00 How Trace Finance started at a Binance event in Berlin
00:41:00 Instant FX, faster compliance, and why the API is the product
00:48:05 What is Pix? Brazil's instant payment system explained
00:52:55 Competitors, frenemies, and the real rival
00:59:53 Challenges facing Trace Finance: Regulation, security, and insuring blockchain operations
01:04:53 The business model: fees and treasury management
01:18:41 Hiring in 2026 is broken?
01:27:45 What the AI layoffs are actually about
01:35:16 Will stablecoins replace SWIFT?
01:42:07 Final advice: there's no better time to build
01:43:52 Episode outro

Follow Leone Parise and Trace Finance:
Website: https://www.tracefinance.com/
LinkedIn: https://www.linkedin.com/in/leoneparise/

Our social media:
YouTube: https://www.youtube.com/channel/UCZkB6EsFenFzIm1-a01cfsw
Spotify: https://open.spotify.com/show/4H61B1PBJ9eeFz8U6tYwJY
Twitter/X: https://x.com/ColorsofTechpod
LinkedIn: https://www.linkedin.com/company/colors-of-tech-entrepreneurship/

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Tech and Entrepreneurship spaces. Thank you for listening!

What happens when leaders become too certain that they already know the answer? In this episode of Colors of Tech & Entrepreneurship, Lam sits down with Deborah Clary, a former Fortune 50 executive and leadership expert who has spent decades working across companies including Frito-Lay, Coca-Cola, Jack Daniel's, and Humana. Deborah's work today focuses on one deceptively simple idea: curiosity can be learned and it can transform how organizations and leaders perform.

Deborah explains why experience and confidence can sometimes become a liability when they turn into certainty. We explore what happened to companies like BlackBerry and Blockbuster when leaders stopped questioning their assumptions, how leaders can create cultures where employees feel safe challenging ideas, and how the Curiosity Curve helps teams understand their strengths and blind spots. We also discuss a particularly important question for startup founders: how can a small team with limited time and resources build more curiosity into everyday decision-making?

The conversation then turns to AI. When everyone can access abundant information and generate plausible answers in seconds, what becomes the real competitive advantage? Deborah argues that discernment and judgment become even more important—and that the leaders of the future may be those who are willing to explore better questions rather than simply having all the answers. We also discuss AI, young leaders, changing your mind, psychological safety, and the one question every leader should ask their team: “When was the last time you changed your mind?”

⌛ Timestamps:

00:00:00 Episode trailer

00:00:30 Show & guest introduction

00:01:40 Frito-Lay, Coca-Cola, Jack Daniel's, and the pivot to a doctorate in leader development

00:05:12 The CEO question that changed everything: can curiosity be learned?

00:06:41 The engagement collapse: millennials, 39% of the workforce, and the pipeline problem

00:11:39 Certainty in doses: why the book is called “The Curiosity Curve”

00:13:01 Blackberry and Blockbuster: what certainty costs

00:15:20 Inside the assessment: the four factors and the imbalance most founders share

00:20:35 Short runway, no time for workshops: the founder who said "that's me"

00:23:52 Making it safe to ask hard questions: dissent as a C-suite core value

00:25:00 What to do when your founder won't budge

00:27:17 Curious organizations vs. companies that just buy AI tools

00:30:06 The question ambitious young leaders should ask themselves

00:31:20 AGI, and what humans still do better

00:35:38 One bold question to ask your team this week

00:37:12 Where to follow Debra & The Curiosity Curve

00:38:12 Episode outro and next episode preview

Follow Debra Clary and get her book:

1. Website: https://www.debraclary.com/

2. LinkedIn: https://www.linkedin.com/in/drdebraclar

3. Facebook: https://www.facebook.com/drdebraclary

4. YouTube: https://www.youtube.com/@debraclary/videos

5. Instagram: https://www.instagram.com/the_curiosity_curve/

6. Book: https://www.amazon.com/Curiosity-Curve-Leaders-Transformation-Questions/dp/1639081380/ref=sr_1_1?crid=11RB378F03YPT&dib=eyJ2IjoiMSJ9.ObjObL7kpWPYm7F6xO2UI7gk-tqinwBmMHa105D9K8m7VePNPDYi1p8U9SKDI9L0rNqBBtPcjDUBm24D1wdWzaCd04KU2ZJ2S6NIKqVTLhKX6wqEFbu2yj2QXgkFVriXDwVc3dituNNYrv86qiWIyh7vjW-SAj8LOM2UaPLsz-SD3qQfj9xcq6G1cEJfWZcUs9h7SLVhiMXpAXRqH7oDmw.H02UepDZJaRVCfD39Xcsatoy9u596UllaE9LMpmGgoQ&dib_tag=se&keywords=the+curiosity+curve&qid=1786085209&sprefix=the+curiosity+curv%2Caps%2C392&sr=8-1

Our social media:

YouTube: https://www.youtube.com/channel/UCZkB6EsFenFzIm1-a01cfsw

Spotify: https://open.spotify.com/show/4H61B1PBJ9eeFz8U6tYwJY

Twitter/X: https://x.com/ColorsofTechpod

LinkedIn: https://www.linkedin.com/company/colors-of-tech-entrepreneurship/

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Tech and Entrepreneurship spaces. Thank you for listening!

Real estate is one of the world’s largest asset classes, yet it remains surprisingly difficult to tokenize. In this episode of Colors of Web3 & Entrepreneurship, Matthew Schneider, CEO and founder of Building Inc., explains why the bottleneck was never simply blockchain. It was the data.

Real estate still relies on paper records, fragmented systems, and figures that can be difficult to verify independently. A token cannot make unreliable collateral trustworthy. Before real estate can support dependable oracles, tokens, and digital markets, the underlying information needs to be accurate, current, and traceable.

Matthew explains Building Inc.’s approach: using blockchain as a lightweight “receipts layer” that records who uploaded information, when it was uploaded, and whether the source can be trusted. Combined with AI for extraction, comparison, and monitoring, this could create a more reliable data layer for tokenized real estate.

We also discuss:

• Why failed tokenized real-estate projects expose the risks of unverifiable collateral
• The uncomfortable parallel between unreliable property data and the FTX collapse
• How AI could help monitor properties for banks and lenders
• What verified data could mean for oracles, RWAs, and tokenization
• Building Inc.’s private beta, early customers, fundraising, and multi-chain strategy
• Hedera, Polygon, and quantum-resistant blockchain infrastructure
• Why founders should start with the problem instead of the technology

Whether you work in Web3, real estate, capital markets, proptech, or another legacy industry, this conversation is a practical look at the infrastructure required to make digital assets trustworthy.

⌛ Timestamps:

00:00:00 Episode trailer

00:00:30 Show & guest introduction

00:03:00 From day trading and e-commerce to founding a company in 2020

00:05:28 Challenges in real estate data management

00:10:21 Finding Bitcoin in 2016 and the slow conviction

00:12:33 Matthew’s hobbies

00:18:17 Three reasons real estate data management fails

00:20:37 Why trillions in real estate still aren't tokenized

00:23:52 Building.inc’s platform demo

00:32:08 Current stage of Building.inc: Private beta, early customers, and fundraising in the AI era

00:36:13 Going multi-chain: Hedera, Polygon, quantum-resistance chain

00:38:25 The business model and Web3 integrations

00:41:22 The tech behind the platform

00:48:49 The challenges facing his startup

00:50:56 The end game for RWAs and tokenized real estate

00:55:32 Advice for aspiring entrepreneurs

00:58:37 Where to follow Matthew and Building.inc

00:59:47 Episode outro and next episode preview

Follow Matthew & Building Inc:

Building's Website (may still be under maintenance): building.inc

Matthew's Twitter/X: https://x.com/mattschneid3r

Building's Twitter/X: https://x.com/BuildingInc

Our social media:

Spotify: https://creators.spotify.com/pod/show/colorsoftechpod

Twitter/X: https://x.com/ColorsofTechpod

LinkedIn: https://www.linkedin.com/company/colors-of-tech-entrepreneurship

⁠If you enjoyed the episode, subscribe for more conversations with founders and experts working across Web3, AI, entrepreneurship, and emerging technology.

What does it take to move over $150 million in stablecoins across blockchains every single day? In Episode 90 of Colors of Web3 and Entrepreneurship, host Lam sits down with Lorenzo Romagnoli, co-founder of USDT0, the interoperability layer that has quietly become one of the most important pieces of infrastructure in the Tether ecosystem. At just 27, Lorenzo has spent his entire professional life in DeFi from LARPing on Discord during the 2020 bull run to co-founding Alloy (Tether's gold-backed stablecoin) and ultimately building USDT0 alongside the Layer Zero team.

Lorenzo walks us through USDT0's meteoric rise: launching in January 2025, surviving the most stressful month of his life, and scaling from a few hundred thousand dollars a day to moving over $100 billion in total volume in just 16 months all with a team of around 20 people. He explains why Tether historically avoided DeFi, how the team finally cracked their first big partnership with Kraken's Ink chain, and why some of the world's largest hedge funds and exchanges (including an unannounced $800M Binance treasury move at 4am) now run on the rails they built.

The conversation also goes deep on Tether Gold (XAUT) and why Lorenzo believes gold-backed stablecoins could one day rival the US dollar, the real product-market fit for stablecoins in Africa, Latin America, and Asia, the relentless security threats from North Korean hacking groups, his philosophy on not being greedy in crypto, and how the coming agentic AI economy could demand millions of transactions per second. Whether you're a builder, an investor, or just curious about the plumbing behind the stablecoin economy, this episode is packed with insight from someone building at the frontier.

⌛ Timestamps:

00:00:00 Episode trailer

00:00:40 Show & guest introduction

00:03:30 First steps in Web3: DAOs, Tether, and building Alloy

00:06:11 Spotting Tether's cross-chain interoperability problem

00:08:05 Building USDT0 with LayerZero

00:11:06 Lorenzo's hobbies

00:15:20 How USDT0 works

00:20:00 Some predictions and tractions of USDT0

00:25:02 The user groups of USDT0

00:30:13 Lorenzo's take on gold and Tether Gold (XAUT)

00:34:21 How Tether Gold works under the hood

00:37:05 Inside the Switzerland vault

00:42:38 Competitors of USDT0

00:45:01 USDT0's business model & the cost of security

00:50:55 The biggest challenges: hackers, pitching & iterating

00:55:21 The future of stablecoins: one winner or many?

00:59:16 Non-obvious use cases: luxury watches & private jets

01:00:52 Agentic AI, stablecoins & the millions-of-TPS problem

01:04:06 Advice for aspiring entrepreneurs

01:06:33 Where to follow Lorenzo & USDT0

01:07:30 Episode outro and next episode preview

Follow Lorenzo Romagnoli & USDT0:

USDT0's Website: https://usdt0.to/

USDT0's Twitter/X: https://x.com/USDT0_to

Lorenzo Romagnoli 's Twitter/X: https://x.com/zerolore

Our social media:

Crypto card guide: cryptocardguide.com

Twitter/X: x.com/ColorsofWeb3pod

LinkedIn: linkedin.com/company/colors-of-web3-entrepreneurship

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

In this episode, we sit down with Gabriela Moreira, CEO of Quint company and a passionate advocate for formal methods in software development. Gabriela shares her journey from compiler research and teaching formal methods at university in Brazil to building Quint — a language that makes formal specification accessible to everyday developers. She explains how Quint was born inside Informal Systems to solve a real problem: TLA+ was powerful but too hard for most engineers to read and adopt.

The conversation dives into how AI is changing the economics of formal verification. Writing specs used to require learning a new language and investing significant time upfront, but with LLMs, developers can now generate Quint specifications in hours instead of weeks. At the same time, as AI writes more and more of our code, the need for confidence and correctness has never been higher — making executable specifications more relevant than ever.

Gabriela also walks through real-world use cases, including AWS's use of TLA+, Circle's Arc L1 blockchain built on Quint-verified consensus, and work with Monad's BFT protocol. Whether you're building smart contracts, distributed systems, or any software where bugs can cost real money, this episode will change how you think about the gap between "it works on my machine" and "I know it's correct."

⌛ Timestamps:

00:00:00 Episode trailer

00:00:36 Show & guest introduction

00:02:04 From compilers and type systems to TLA+ and formal methods

00:06:23 Gabriela's first encounter with AI and data science

00:08:32 Gabriela’s hobbies

00:09:54 The origin story of Quint and Informal Systems

00:13:29 Deep dive into Quint and formal specs

00:19:20 Real-world use cases: Malachite, Circle's Arc, Monad BFT

00:27:42 Biggest misconceptions engineers have about formal specs

00:33:35 Bugs that traditional testing misses but Quint catches

00:38:22 Formal verification for smart contracts and Web3 security

00:41:02 Where to follow Gabriela and Quint

00:42:02 Episode outro and next episode preview

Follow Quint Co & Gabriela Moreira:

Gabriela's Twitter/X: https://x.com/bugarela

Quint Twitter/X: https://x.com/quint_lang

Quint Github: https://github.com/informalsystems/

Gabriela's LinkedIn: https://linkedin.com/in/bugarela?originalSubdomain=br

Gabriela's Github: https://github.com/bugarela

Our social media:

Crypto card guide: cryptocardguide.com

Twitter/X: x.com/ColorsofWeb3pod

LinkedIn: linkedin.com/company/colors-of-web3-entrepreneurship

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

In this episode, we sit down with Bruce Yang, co-founder and CEO of Agnes AI, a homegrown AI company from Singapore that has already amassed over 6 million registered users and reached $10 million in annual recurring revenue all within less than a year of launching. Bruce shares how his team built a cluster of cost-efficient AI models that deliver near state-of-the-art performance at one-tenth the cost, making advanced AI accessible to the 99% who are currently locked out by paywalls and infrastructure gaps.

Bruce takes us through his journey from a scholarship student arriving in Singapore at age 15, to studying math and computer science at UC Berkeley, building LinkedIn's first subscription product, launching a "Snapchat before Snapchat" social media startup in Silicon Valley, and eventually returning to Singapore to pursue a PhD at NUS right as the generative AI revolution exploded. That unique combination of startup grit, big tech experience, and academic depth fuels his bold vision for Agnes AI.

The conversation goes deep into Bruce's thesis on the AI geopolitical landscape: why the world cannot afford a US-China duopoly in AI, and why Southeast Asia and the rest of the emerging world need their own sovereign AI capabilities a "third nation" in the AI race. We also explore how Agnes AI leverages post-training on open-source models, their agentic routing architecture, the future of SaaS in an AI-agent world, and Bruce's advice for aspiring entrepreneurs: keep your ego low, fail fast, and become an adaptive learner.

⌛ Timestamps:

00:00:00 Episode intro & guest introduction

00:01:06 Bruce Yang's introduction and Agnes AI overview

00:02:26 From China to Singapore to UC Berkeley

00:03:19 Working at Microsoft and LinkedIn

00:04:06 Startups experience in Sillicon Valley

00:05:03 The PhD program that eventually led to founding Agnes AI

00:07:21 The time when he built a social media startup challenging Facebook

00:09:56 Fundraising lessons and speed as essence for consumer apps

00:12:01 Hobbies of Bruce

00:15:24 Agnes AI founding story

00:17:58 Building cost-efficient models with post-training

00:21:50 Live product demo: research, slides, and character AI

00:35:54 AI inclusion and the "third nation" vision

00:42:06 Challenges facing Agnes AI: educating investors in emerging markets

00:47:17 Enterprise solutions and Model as a Service (MaaS)

00:50:42 Future of Gen AI, SaaS disruption and AGI predictions

00:56:38 Diminishing returns, GPU costs, and the road ahead

01:01:50 AI models training themselves — the evolution cycle

01:04:14 Advice for aspiring entrepreneurs

01:07:04 Where to follow Agnes AI

01:08:02 Episode outro and next episode preview

Follow Agnes AI:

Web app: https://agnes-ai.com/

Download on App Store: https://apps.apple.com/sg/app/agnes-ai-your-daily-copilot/id6746299015

Download on Google Play: https://play.google.com/store/apps/details?id=com.sobrr.agnes

Agnes AI LinkedIn: https://www.linkedin.com/company/agnesaisapiens

Agnes AI Twitter/X: https://x.com/agnesai_sapiens

Our social media:

Crypto card guide: cryptocardguide.com

Twitter/X: x.com/ColorsofWeb3pod

LinkedIn: linkedin.com/company/colors-of-web3-entrepreneurship

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

In this episode of Colors of Web3 and Entrepreneurship, Lam Trinh sits down with Ariel Eiberman, the Latin American director at GnosisPay, also known in the industry as "the Stablecoin guy". Ariel share his fascinating journey into the crypto space, which began in 2013 when he used Bitcoin as his primary banking infrastructure to facilitate international payments for polyglot meetups.

The conversation dives deep into the frustrations of traditional banking, particularly in Argentina, where users face multiple exchange rates, physical bank limitations, and inefficient systems. Ariel explains why he has personally tested over 30 different crypto cards and neobanks, offering a unique perspective on which platforms offer the best fees, trust, and usability for those looking for a banking alternative.

Finally, Ariel shares his vision for the future of on-chain banking. He discusses the importance of self-custody, the rise of niche neobanks, and how blockchain technology can eventually provide better financial tools for families and businesses without necessarily replacing traditional banks entirely.

⌛ Timestamps:

00:00:00 Episode trailer

00:00:34 Show & guest introduction

00:02:01 How tools and neobanks have exploded in crypto

00:02:54 The rabbit hole story, Bitcoin as a first bank

00:04:30 From ICOs to smart contract wallets and decentralized RPCs

00:06:48 Working in crypto accounting and the pain of blockchain bookkeeping

00:08:23 Why banking in Argentina is a nightmare

00:11:30 Argentina's five different dollar exchange rates

00:14:23 QR payments vs. card payments in Latin America

00:17:38 Ariel's hobbies

00:18:56 How Ariel became "The Stablecoin Guy" with 30+ crypto cards

00:21:00 How he positioned himself in a noisy Web3 payment space

00:23:58 Trust vs. fees what users actually care about

00:25:00 Why most crypto neobanks will fail in the next bear market

00:27:33 Neobanks need to go niche - The barbershop analogy

00:31:06 Best cards for zero FX fees: EtherFi, Gnosis Pay, and more

00:32:58 QR code payments with stablecoins in Bolivia

00:34:53 Vietnam's incredible banking system and crypto card opportunities

00:37:45 The future of on-chain banking

00:39:29 Some opportunities that Ariel sees for neobanks

00:42:15 Advice for people who want to break into Web3

00:43:52 Where to follow Ariel & Gnosis Pay

00:45:55 Episode outro and next episode preview

Follow Ariel & Gnosis Pay:

Ariel's Twitter/X: https://x.com/AriEiberman

Ariel's LinkedIn: https://www.linkedin.com/in/arieleiberman/

Gnosis Pay Website: https://gnosispay.com/

Gnosis Pay Twitter/X: https://x.com/gnosispay

Our social media:

Crypto card guide: cryptocardguide.com

Twitter/X: x.com/ColorsofWeb3pod

LinkedIn: linkedin.com/company/colors-of-web3-entrepreneurship

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

What happens when a head of growth decides to automate himself out of a job before AI does it for him? You get TheHog, a YC-backed AI go-to-market platform built by Hudson Liao that listens to real buyer conversations across LinkedIn, X, and Reddit to find genuine purchase intent.

Hudson joins Lam to break down his path from California firefighter to YC W25 founder, why spray-and-pray outreach is destroying brands, and what "scaling authenticity" actually means when AI is doing the work.

⌛ Timestamps:

00:00:00 Episode trailer

00:00:35 Show & guest introduction

00:04:50 Transitioning from finance to the startup world

00:07:22 The universal framework behind growth

00:08:25 Hudson's hobby

00:09:50 The origin story of TheHog.ai

00:12:07 Getting into Y Combinator and the YC experience

00:15:17 Ideal customer profile: who is The Hog built for?

00:16:50 Example of how the platform works

00:20:05 Scaling authenticity with AI

00:22:53 Traction: 160+ customers in 3 months

00:26:50 Will AI replace growth teams?

00:30:30 The future of go-to-market: agents, AEO, and omni-channel

00:31:50 Business model of The Hog

00:37:24 Advice for aspiring entrepreneurs

00:39:45 Where to follow Hudson and The Hog

00:41:11 Episode outro and next episode preview

Follow Hudson & The Hog:The Hog's Website: https://thehog.ai/Hudson's

Twitter/X: https://x.com/hudsonliao

Our social media:

Crypto card guide: cryptocardguide.com

Twitter/X: x.com/ColorsofWeb3pod

LinkedIn: linkedin.com/company/colors-of-web3-entrepreneurship

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

What happens when a personal family challenge turns into a national mission-driven business? In Episode 85 of Colors of Web3 and Entrepreneurship, Lam sits down with Nichole Daher, founder of Success on the Spectrum (SOS), the first autism treatment franchise in the United States. Nichole shares how becoming a stepmom to a child with autism pushed her to learn everything she could, and how a painful “aging out” moment in therapy became the catalyst to build something bigger than she ever imagined.

Nichole also breaks down autism in a clear, practical way what the diagnostic criteria look like, what ABA therapy is (and isn’t), and why misconceptions still exist. We talk about the scale of demand, why families face long waitlists, and how SOS designed systems to deliver consistent quality across locations without losing sight of the mission.

Finally, this episode goes deep on entrepreneurship: franchising as a force-multiplier, “profit with a purpose,” and the leadership lessons Nichole learned going from one clinic to 80+ locations across 20 states. Plus Nichole shares how to learn more about SOS franchising (including a special “discovery day” bonus for listeners).

⌛ Timestamps:

00:00:00 Episode trailer

00:00:35 Show & guest introduction

00:01:30 Origin story: from nuclear medicine to founding Success on Spectrum

00:06:07 Secret to successful business: Hiring passionate teams & aligning on mission

00:08:28 Nichole's hobby: high-performance car racing

00:12:03 What is autism? 3 main criteria & levels explained

00:16:05 How modern ABA therapy works

00:20:29 Debunking common ABA therapy misconceptions

00:26:38 Treatment duration, early intervention & insurance coverage

00:29:52 The affected autism population: 1 in 31 kids & huge demand gap

00:32:53 Why franchising? Empowering parents & entrepreneurs

00:36:10 The franchise playbook: from LLC to grand opening

00:38:50 Balancing profit with purpose in autism care

00:42:35 Future vision for autism treatment: adult services & workforce transition

00:46:13 Biggest lesson: people first in a mission-driven business

00:50:00 Mistakes to avoid for aspiring entrepreneurs

00:52:18 Where to follow Nichole Daher & Success on Spectrum

00:54:17 Episode outro

Follow Nichole Daher & Success on Spectrum (SOS):

Success on Spectrum's Website: https://successonthespectrum.com/

Success on Spectrum's contact us (mention that you hear about SoS from "Colors of Web3 & Entrepreneurship" podcast for a free round-trip ticket):

https://sosfranchising.com/contact-us/Success on Spectrum's Linkedin: https://www.linkedin.com/company/success-on-the-spectrum/

Our social media:

Crypto card guide: cryptocardguide.com

Twitter/X: x.com/ColorsofWeb3pod

LinkedIn: linkedin.com/company/colors-of-web3-entrepreneurship

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!

What happens when AI agents stop being “private chatbots” and start acting like actual teammates? In this episode of Colors of Web3 and Entrepreneurship, Lam sits down with Eduardo Gonzalez (Co-founder & CEO of Express AI) a longtime Japan-based builder who’s worked across enterprise AI and deep learning production to unpack what it takes to run agents reliably inside real organizations.

Eduardo walks through how Express AI is designed around collaboration: shared chat rooms where multiple humans can work with the same agent, a task/Kanban system for assigning work, integrations (Google, GitHub, Jira/Confluence, etc.), plus on-prem deployment options for teams that need tighter control. We also get a clear, beginner-friendly explanation of vector databases and why “meaning-based retrieval” is the backbone of agent memory.

Finally, the conversation goes beyond tooling into agent operations: turning SOPs into repeatable “skills,” reducing hallucinations with multi-agent verification and human-in-the-loop checks, and Eduardo’s vision for a decentralized agent marketplace where specialized agents can compete for tasks, stake reputation, and even transact with wallets for agent-to-agent commerce.

⌛ Timestamps:

00:00:00 Episode trailer

00:00:37 Show & guest introduction

00:02:38 Early career in Japan: Panasonic and JBS

00:04:10 Joining Skymind and deep learning

00:07:23 AI training on clusters explained

00:12:24 Writing a book on deep learning

00:20:06 Eduardo's hobbies

00:23:30 Founding Xpress AI and AI shifts

00:25:06 Agentic fine-tuning and OpenAI competition

00:27:23 Making AI accessible for enterprises

00:47:24 Future of AI agents and computing

01:36:38 Envisioning AI agents' evolution

01:41:30 AI's impact on jobs and creativity

01:47:57 Advice for aspiring entrepreneurs

01:58:12 Where to follow Gonzalez & Xpress AI

Follow Eduardo Gonzalez & Xpress AI:

Xpress AI's Website: https://xpress.ai/

Xpress AI's Twitter/X: https://x.com/xpressai

Eduardo Gonzalez's Twitter/X: https://x.com/wm_eddie?lang=ja

Our social media:

Crypto card guide: cryptocardguide.com

Twitter/X: x.com/ColorsofWeb3pod

LinkedIn: linkedin.com/company/colors-of-web3-entrepreneurship

If you enjoy this episode, please subscribe to stay updated on our upcoming episodes with industry experts and innovators in the Web3 and Entrepreneurship spaces. Thank you for listening!