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Automatic

Eric Lamanna

Podcast for Automatic.co and LLM.co, the AI automation specialists.

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36 episodes
daily
Avg 8 min
English

Episodes 36

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August 18 · 7 min
Hot vs. Warm vs. Cold Storage: Pick Your Poison
Not all data deserves the same speed — or the same price tag. This episode breaks down hot, warm, and cold storage tiers, what goes wrong when you treat them as interchangeable, and how to build a tiering strategy that actually holds up in production.
August 17 · 8 min
Wiring Your Private LLM Into the Tools Your Team Already Uses
A private LLM locked inside your infrastructure is only half the job — this episode walks through the practical patterns for connecting it to n8n, Zapier, and internal APIs so your whole team can actually use it.
August 16 · 8 min
Graph Databases: When Relational Just Won't Relate
Graph databases flip the relational model on its head — putting connections first instead of columns. This episode breaks down when that shift pays off, how to model and operate graphs in production, and when your trusty SQL setup is still the smarter bet
August 15 · 8 min
Legal AI With No Cloud Required: A New Standard for Confidentiality
Law firms can no longer afford to ignore the question of where client data goes when AI gets involved. This episode explores how on-premise legal AI is reshaping confidentiality standards — and why it's becoming the baseline, not the exception.
August 14 · 7 min
Optimistic Locking: Hope Is a Strategy (Sometimes)
Optimistic locking sounds like wishful thinking, but it's one of the sharpest concurrency tools available — when applied in the right context. This episode breaks down how it works, where it wins, and when to walk away from it.
August 13 · 9 min
Private LLMs for Law Firms: Training AI on Case Law Without Breaking Confidentiality
Law firms are quietly deploying private LLMs to slash research and drafting time — but attorney-client privilege makes the security stakes uniquely high. This episode breaks down the architecture, training techniques, and compliance frameworks making it w
August 12 · 8 min
Data Anonymization: Your Privacy Theater Toolkit
Data anonymization is often more performance than protection — deleting a name and calling it done. This episode breaks down the real techniques, threat models, and governance habits that separate genuine privacy practice from compliance theater.
August 11 · 6 min
The Context Window Trap: Why Bigger AI Memory Isn't Always Better
Bigger AI memory sounds like a win — but it's often a trap. This episode breaks down why massive context windows can silently degrade your product, and what disciplined teams are doing instead to ship reliable AI features.
August 11 · 8 min
Private vs. Public LLMs: What Every CTO Needs to Know
Choosing between a public or private LLM isn't just a technical call — it's a strategic one with major implications for security, cost, and competitive advantage. This episode breaks down exactly what CTOs need to weigh before committing.
August 10 · 9 min
Real-Time Joins: Making SQL Cry
Joining live data streams sounds straightforward — until latency, late events, and memory bloat turn your pipeline into a nightmare. This episode breaks down why real-time joins are so hard and how to engineer them without losing your mind.
August 9 · 10 min
LLMs Behind Closed Doors: Building Secure, In-House AI Models
Enterprise AI teams are moving LLMs behind the corporate firewall — and for good reason. This episode breaks down the security architecture, hardware choices, and operational discipline required to run private, self-hosted language models at scale.
August 8 · 9 min
ACID vs. BASE: The Database Cold War
ACID and BASE aren't just database acronyms — they're competing philosophies about trust, scale, and the promises software makes to users. This episode breaks down both models, their real-world tradeoffs, and how to choose — or combine — them wisely.
August 7 · 9 min
The Rise of On-Prem LLMs: Control, Compliance, and Customization
Cloud AI is convenient — until legal asks where your data actually goes. This episode breaks down why on-premises large language models are becoming a serious enterprise strategy, covering data sovereignty, compliance, cost curves, and how to build it rig
August 6 · 7 min
Bloom Filters: The Tiny Data Structure With a Big Job
Bloom filters are tiny, probabilistic data structures that make systems faster and cheaper by eliminating unnecessary lookups — and they do it by being deliberately, strategically wrong sometimes. This episode breaks down exactly how they work and where t
August 5 · 7 min
Your ChatGPT Chats May Not Be as Private as You Think
Every time you paste sensitive data into ChatGPT, you may be sharing more than you realize. This episode breaks down exactly where your chat data goes — and how to protect yourself before it's too late.
August 4 · 7 min
Fine-Tuning LLMs: Brilliance or Burnout
Fine-tuning a language model can transform it into a domain-savvy teammate — or quietly consume your engineering roadmap. This episode breaks down when the investment pays off and when simpler alternatives should win instead.

Showing 21–36 of 36 episodes