
Microservices have reshaped how engineering teams build and ship software — but the architectural freedom they offer comes with a steep operational price tag. This episode of Automatic.co digs into the distributed...


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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Signup to Generate a PitchAgentic 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.
Recent episodes include "Microservices: Distributed Bliss or DevOps Dumpster Fire?" (29 October 2026, 5 minutes), "Multi-Agent Systems: Herding Cats with Protocols" (26 October 2026, 5 minutes), and "Multi-Tenancy with AI Agents: How to Share Without Screwing Everyone" (22 October 2026, 5 minutes).
Automatic publishes roughly a few times a week, with episodes averaging 6 minutes.
Booking probability for Automatic is 35%, and the host is rated Selective on guests. Automatic requires a Pod Score of 80 or higher. Automatic's contact route on record: verified email.
The strongest fits for Automatic are IT Services & Software Development and Business & Management Consulting. Automatic has a business audience.
Automatic is a business podcast.
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Microservices have reshaped how engineering teams build and ship software — but the architectural freedom they offer comes with a steep operational price tag. This episode of Automatic.co digs into the distributed...

Scaling automation beyond a handful of components means confronting a combinatorial coordination problem that most teams underestimate. This episode of Automatic.co digs into the architecture of multi-agent systems —...

Multi-tenancy is one of the most consequential architectural decisions a team can make when scaling AI agents across multiple clients — and one of the easiest to get subtly, expensively wrong. This episode of...

High training accuracy feels like a win — until the model hits the real world and falls apart. This episode of the Automatic.co podcast digs into one of the most common and costly traps in applied machine learning...

When a system's consumers can't keep pace with its producers, messages pile up — and what looks like a minor lag in one service can spiral into a cluster-wide outage in minutes. This episode of Automatic.co unpacks...

Message loss is rarely loud. It tends to show up as a support ticket, a missing order, or a reconciliation gap that only surfaces days later. This episode of Automatic.co digs into one of the quieter but more...

Exponential back-off is configured. Circuit breakers are wired up. Outbound calls are throttled. And yet HTTP 429s keep filling the production logs. This episode of Automatic.co digs into why "Too Many Requests" errors...

Latency isn't just a performance metric — it's a felt experience that shapes whether software feels like magic or friction. This episode of the Automatic.co podcast tackles the engineering and design realities behind...

Reactive autoscaling has always had a dirty secret: by the time your system notices the spike, users are already suffering. This episode of Automatic.co tackles a smarter alternative — predictive autoscaling — exploring...

Enterprise integration is one of those problems that never fully goes away — it just changes shape. This episode of Automatic.co takes an unflinching look at the middleware layer that sits between your CRM, ERP, and...

Multi-region deployment sits at a fascinating intersection of ambition and engineering reality. This episode of Automatic.co digs into the full picture — from the genuine wins that make the architecture so appealing, to...

Model versioning is one of those practices every ML team knows they should follow — and one that quietly falls apart the moment deadlines loom and folders multiply. This episode of Automatic.co tackles the full picture...

Machine learning carries enormous expectations, yet a surprising number of real-world deployments fall flat well before the algorithm ever gets a fair chance. This episode of Automatic.co explores the case that ML...

Distributed systems teams often celebrate the moment they wire up a message broker — and then spend months untangling what happened next. This episode of Automatic.co examines the nuanced power dynamic at the center of...

Redundancy looks great on a diagram. In production, it's a different story. This episode of Automatic.co tackles one of the most frustrating (and surprisingly common) problems in infrastructure reliability: a failover...

Hallucinations in enterprise AI aren't just embarrassing — they're a liability. When an AI tool confidently produces a wrong answer about an internal policy, a compliance rule, or a contract clause, the consequences can...

Data silos are one of those enterprise problems that everyone recognizes and almost no one fixes properly. This episode of Automatic digs into the real mechanics of interoperability failure — from the spreadsheet chaos...

Regulated workflows — the kind that touch legal records, financial data, health information, and compliance approvals — operate under a fundamentally different set of demands than everyday office tasks. Speed and...

Every data engineer eventually faces the same uncomfortable moment: a business metric is wrong, the logic that produced it has already changed, and history needs to be rewritten — carefully. This episode of Automatic...

Regulated industries have long been the last places anyone expected to embrace cutting-edge AI. Yet hospitals and public agencies are now among the most aggressive adopters — not of public cloud AI, but of private...
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