Particle Accelerator: A Particle41 Podcast

In 1995, Rob LoCascio looked at the early internet and asked a simple question: where are the people? His answer became live chat, a piece of software now running on billions of websites. He built that into LivePerson, took it public, and ran it for almost three decades.

Now he's building something that argues against the entire direction of the AI industry. Instead of one giant model trained on everyone's data, Rob believes the future belongs to individual AIs — trained only on you, owned by you, and monetizable by you. His new company, Uare.ai, has raised $10M, has thousands of people on a waitlist, and is about to launch.

In this episode of The Particle Accelerator, host Benjamin Johnson (Founder & CEO, Particle41) talks with Rob about:

00:00 – Rob's origin story: inventing live chat and reading the early internet right
02:37 – What everyone else missed about e-commerce trust
06:14 – The "human life model": 7 categories that make an AI actually yours
11:20 – Why hallucination-proofing works differently when the AI only knows one person
13:48 – The monetization model: setting a price, sharing your AI, scaling your expertise
19:35 – Why data ownership is the whole pitch, and why big platforms can't credibly offer it
33:34 – Guardrails: no deepfakes, mandatory verification, protecting the person behind the AI
40:07 – A tax firm owner's story: seeing her business's future for the first time
42:44 – Faith, stewardship, and building a company without losing yourself in it

Rob LoCascio, Founder of Uare.ai, former Founder & CEO of LivePerson
Connect with Rob: https://www.linkedin.com/in/rlocascio/
Learn more about Uare.ai: https://www.uare.ai/

Benjamin Johnson, Host, Particle Accelerator Podcast & CEO, Particle41 
Connect with Benjamin: https://www.linkedin.com/in/benjaminrjohnson/ 

Learn more about Particle41: https://particle41.com/

#ParticleAccelerator #AI #Entrepreneurship #Podcast #ArtificialIntelligence #FutureOfWork

Eliot Vancil grew up the son of a house painter in Oakliffe, mowing yards for spending money. Twenty-five years later, he's built, scaled, and sold multiple companies, a Texas IT business he ran for 20 years, a telecom company he sold without an earnout, and then turned his attention to one of the most archaic, paper-driven industries in the country: fuel delivery.

The result is Fuel Logic, which Eliot calls "the dumbest idea that ever worked." By applying the same technology, ticketing, and process discipline he used running an IT company, Eliot built a nationwide fuel brokerage that now does north of $100 million in revenue, including convincing Walmart to consolidate roughly 500 regional fuel vendors down to one.

In this episode of The Particle Accelerator, host Benjamin Johnson (Founder & CEO, Particle41) talks with Eliot about:

The "dumbest idea that worked", why a commoditized, capital-intensive industry was actually wide open for a tech-first operator

How Fuel Logic found its niche inside Walmart's supply chain by going after the deliveries no one else wanted

Why "Network Logic" taught him that culture, not hustle, is the real bottleneck to scaling

Turning EOS into the "Elliot Operating System", and what changed when he actually committed to running it properly

Bootstrapping vs. bringing in corporate discipline: where grit hits a ceiling

Building the business alongside his own kids, by design, and how he engineered their work ethic from childhood

How he's using Claude and AI to vibe-code his own dispatch systems, customer portals, and BI dashboards

What actually breaks once you cross from a $10M business into $100M+ territory

00:00 Intro & welcome 
01:07 What Fuel Logic does 
03:04 Mowing yards & early entrepreneurial roots 
03:50 30 years of marriage, the one-sentence secret 
05:56 Selling to Bain vs. buying a 140-year-old hotel 
07:19 Working with his two kids every day 
09:09 Where the entrepreneurial DNA came from 
09:20 Lessons from Network Logic (1998–2022) 
11:21 "A skyscraper with no foundation" 
15:13 The "dumbest idea that ever worked" 
19:40 The Walmart story: 500 vendors to 1 
22:42 Hitting $100M, bigger than any past venture 
25:41 EOS vs. the "Elliot Operating System" 
28:34 How 20 years of IT/telecom built Fuel Logic's edge 
29:51 Defending an 85% first-page search moat 
31:17 Using Claude/AI for dispatch, invoicing, and BI 
35:00 The modern version of recurring revenue 
38:23 Gritty bootstrapper vs. corporate hire 
42:09 Deliberately raising entrepreneurial kids 
58:16 Where to find Eliot & who he wants to meet 
59:30 Final advice: $10M to $100M

Eliot Vancil, Managing Partner at Fuel Logic LLC
Connect with Eliot: https://www.linkedin.com/in/eliotvancil/
Learn more about it: https://www.fuellogic.net/

Benjamin Johnson, Host, Particle Accelerator Podcast & CEO, Particle41 
Connect with Benjamin: https://www.linkedin.com/in/benjaminrjohnson/ 

Learn more about Particle41: https://particle41.com/

#ParticleAccelerator #Entrepreneurship #Fuel #Logistics #EOS #AI

Growth doesn't break companies. Founder dependency does.
 
In this episode of The Particle Accelerator, Benjamin Johnson sits down with Brooke Dukes - co-founder of a 17-year consulting firm, author of international bestseller Burn On, Not Out, and founder of BMD - to unpack the pattern that silently stalls scaling companies, the founder who becomes the system.
 
Brooke has worked with companies from $1M to $2B+ in revenue and has seen the same dynamic play out every time. When a company is young, the founder being the hub makes sense. But past a certain revenue threshold, that same behavior becomes the growth ceiling. Her flagship program, Success by Design, installs what she calls a leadership operating system - the behavioral layer that most business operating systems (like EOS) never address.
 
In this conversation you'll learn:
Why founder dependency - not strategy - is what actually stalls companies
The 48-hour decision audit that reveals your real bottlenecks in 5 days
Why every reopened decision costs $2,000–$5,000 (conservative estimate)
The 3-question filter: Is this decision actually mine? What breaks if I don't act? Am I reopening something already decided?
The difference between delegating a task vs. delegating authority (and why it matters)
How to use Eisenhower's matrix to protect your strategic time
Why behavior change requires small daily steps - not willpower overhauls
How Brooke built an AI coaching platform (Oz) trained on her IP for founder CEOs
The neuroscience and behavioral science behind why founders keep making fear-based decisions
Heart coherence meditation, Be-Do-Have vs. Do-Have-Be, and the unconscious identity loops that drive founder behavior
 
Timestamps:
00:00 - Introduction
01:46 - Starting a business the way you want to end it
03:34 - Human design, neuroscience, and behavioral science
05:45 - Replacing human coaches with AI
07:41 - Meditation, Yoga Nidra, and heart coherence
13:28 - Be-Do-Have vs. Do-Have-Be (identity and belief)
18:56 - Lessons from 17 years working with billion-dollar companies
22:27 - The decision system breakdown
26:57 - The 4 phases of Success by Design
30:37 - Why founders reopen decisions (the 3 AM version)
35:06 - The 48-hour reset
40:03 - Building Oz: AI coaching trained on founder IP
44:30 - Discipline vs. ignoring new information
46:06 - How Success by Design differs from EOS and Vistage
49:12 - Does a system fix the founder or just manage them?

Brooke M Dukes, Founder-CEO, BMD Consulting & Host, Burn On Not Out
Connect with Brooke: https://www.linkedin.com/in/brookedukes/
Learn more about it: https://www.brookemdukes.com/

Benjamin Johnson, Host, Particle Accelerator Podcast & CEO, Particle41 
Connect with Benjamin: https://www.linkedin.com/in/benjaminrjohnson/ 

Learn more about Particle41: https://particle41.com/

#Leadership #FounderLife #CEO #BusinessGrowth #ExecutiveCoaching #ParticleAccelerator

What's the real reason innovation dies inside organizations?
In this episode of The Particle Accelerator, Benjamin Johnson sits down with Robyn Bolton, founder of MileZero, former P&G brand manager on the Swiffer launch team, BCG and InnoSight advisor, author of Unlock Innovation, and 2026 Thinkers50 Radar honoree, for an unflinching look at the human side of corporate innovation.

Robyn has spent her career at the intersection of big ideas and organizational reality. Her core thesis, companies don't fail at innovation because they lack ideas. They fail because leadership behavior, not strategy, not structure, is what makes or breaks a growth culture.

In this conversation, you'll learn:

The "organizational antibody" that's more dangerous than a flat-out no

Why loving an idea to death is the sneakiest form of resistance 

The ABCs of change, and which one leaders need to fix first

How to make the CFO your biggest innovation champion

What a P&G VP told Robyn about three-ring binders that changed how she works forever.

How AI initiatives get derailed, and what actually survives

The difference between activity and a real business outcome in tech bets.

Why having more ideas is the wrong goal

Whether you're a founder, an executive, or a practitioner trying to drive change inside a large org, this episode is a masterclass in the leadership behaviors that separate companies that grow from the ones that stall.

Timestamps: 
00:00 - Intro: Robyn Bolton and MileZero 
01:08 - What MileZero actually does 
02:14 - When Robyn first realized the problem was organizational, not ideational 
05:44 - What launching Swiffer taught her (ownership + courage to break rules) 
07:47 - Frameworks, culture, and working patterns that matter 
10:30 - Speaking the right language to results-oriented leaders 
12:15 - Asking execs what success looks like 
13:47 - From advisor to operator: what changes 
17:32 - Organizational antibodies explained 
19:07 - The "yes but" team vs. the "no" team (compliance + legal) 
21:06 - "What would make you say yes?" - the reframe 
21:59 - Loving an idea to death: the sneakiest antibody 
25:14 - The most common well-intentioned mistake after making the right call 
27:09 - How to spot AI bets that show up in business vs. just in plans 
29:16 - Where organizational antibodies attack AI initiatives 
36:47 - Why innovation accountability is hard - and what convinces a CFO 
42:04 - The belief most executives have that's flat wrong 
44:04 - A leader's rate call is stalling six months in - first move 
44:46 - Robyn's core superpower: complexity busting 
47:23 - Where to find Robyn and MileZero

Robyn M. Bolton, Founder, MileZero LLC & Author, Unlock Innovation
Connect with Robyn: https://www.linkedin.com/in/robynmbolton/ 
Learn more about: https://www.milezero.io/ 

Benjamin Johnson, Host, Particle Accelerator Podcast & CEO, Particle41 
Connect with Benjamin: https://www.linkedin.com/in/benjaminrjohnson/ 

Learn more about Particle41: https://particle41.com/

#innovation  #Leadership #ProductStrategy #MileZero #ParticleAccelerator #CorporateInnovation #AIStrategy

Your AI agent nailed the demo. But two weeks after going live, you're staring at support tickets you can't reproduce, cloud bills you can't explain, and behavior nobody predicted.

In this episode of Particle Accelerator, our host Benjamin Johnson sits down with Pratik Verma, Founder and CEO of Okahu AI, to unpack exactly why AI agents break in production and what it takes to actually build reliable, observable agentic systems. Pratik has spent years at Microsoft and leading his own AI infrastructure companies. His open-source Monocle library and Okahu platform are purpose-built for the era of non-deterministic, LLM-powered agents, filling the gap that Datadog, New Relic, and traditional APM tools simply weren't designed for.

In this conversation, Benjamin and Pratik get into:

The most common root cause of agent failure (hint: it's not the model)

Why the orchestration layer is where everything breaks

Real-world example, how an Epson QA team cut triage from 30 hrs to 2 hrs with agents

The structural difference between tracing a microservice vs. tracing an agent
Evals vs. observability, what they are, why you need both, and how they connect

How to instrument for token cost waste from day one

MCP observability, what happens when you can't see inside the calling agent

The self-healing agent loop, observability, coding agent, fix and repeat

What software engineering looks like in 3 years

Chapters: 
00:00 - Intro & Guest Welcome
01:05 - Why agents fail: lab vs. production reality
02:28 - The orchestration layer: where flexibility becomes fragility
04:00 - The noun confusion failure mode (real-world example)
04:51 - The failure mode engineering leaders never see coming
06:29 - Why Datadog doesn't work for AI agents
11:22 - Instrumenting for cost: token budgets, session tracking & alerts
14:22 - Evals vs. observability: drawing the line
17:21 - From deterministic to non-deterministic systems
18:24 - Real-world case study: Epson QA agents
22:51 - Call center AI & observability signals in practice
30:07 - MCP observability and institutional knowledge loops
35:10 - The emerging agent economy and skill repositories
46:26 - What the next 3 years of AI looks like

Pratik Verma, Founder & CEO, Okahu AI
Connect with him: https://www.linkedin.com/in/pratikrverma/
Learn more at: https://www.okahu.ai/

Benjamin Johnson, Host, Particle Accelerator & CEO, Particle41
Connect with Benjamin on LinkedIn: https://www.linkedin.com/in/benjaminrjohnson/ 

Learn more about Particle41: https://particle41.com/

#AIAgents #MLOps #AIObservability #ProductionAI #EngineeringLeadership #TheParticleAccelerator #Particle41