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Automatic

Automatic.co

Agentic AI and automation from the perspective of whoever has to maintain it in six months. Where an agent genuinely belongs in a process, where a plain script is enough, how to design a handoff to a human, and what breaks quietly at scale. Each episode takes one automation decision and reasons it through end to end — including the maintenance burden, the failure modes and the honest question of whether the process should exist at all. Written for operators and technical leads, deliberately free of hype. Five or six minutes an episode. Topics include where an agent belongs versus a plain script, designing human handoffs, error handling and observability, maintenance burden, process mapping before automation, measuring what a workflow saves, and knowing when a process should be deleted instead. Produced by Automatic.co, agentic AI and automation consulting. Full details, services and further reading at https://automatic.co
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  • 49 episodes
  • a few times a week
  • Avg 7 min
  • English

Episodes 49

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  • 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 41–49 of 49 episodes