The AI Practitioner Podcast

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Multi-agent systems become valuable when they can reason and coordinate, but they become even more valuable when they are production-ready and can run reliably as a service. In this third episode of the Google ADK series, the focus m...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Multi-agent systems become powerful when they can adapt, but they become production-ready only when that adaptation is controlled. In this episode, we continue our Google ADK series and explore how ADK brings flexibility, structure,...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Agent frameworks promise to make AI systems easier to build. But the hard part isn’t just creating agents, it’s coordinating them. Writing, reviewing, debugging, and deploying agentic systems requires clear roles, shared state, obser...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. LLMs excel at individual tasks. But most valuable work isn’t a single task, it’s a coordinated process. Writing a research report, reviewing a large codebase, or evaluating conflicting evidence requires multiple stages of analysis, v...

Prefer reading instead? The full article is available here. The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Skills have become a core building block for AI agents, packaging expertise and workflows into reusable instructions. But despite their growing importance, most teams still create them through trial and error: write a skill, test it,...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Constraint-based methods discover causal graphs by testing independences. Score-based methods take a different route. They treat causal discovery as a model selection problem, scoring candidate graphs and searching for the one that b...

Prefer reading instead? The full article is available here. The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Most ML models answer one question: what is likely to happen? The harder question is what will change if you intervene. That gap is where causal reasoning begins. In this episode, we explore how constraint-based algorithms learn causa...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Large language models are powerful, but relying on prompts alone quickly becomes fragile and difficult to scale. As teams try to operationalize LLMs in real workflows, traditional documentation and ad-hoc prompting start to break dow...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. AI assistants are quietly reshaping how people discover products and documentation online. But most analytics systems treat AI bot traffic as noise, filtering it out instead of learning from it. In this episode/article, we explore ho...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Most agent systems reason well in the moment but fail to improve over time because they forget everything once execution ends. In this episode, we explore how to design long-term memory for LangGraph agents , moving beyond short-term...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Agent systems break down when simple workflows evolve into tangled 30+ node graphs with unclear dependencies and sequential bottlenecks. In this episode, we explore how to scale LangGraph architectures through strategic parallelizati...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Autonomous agents promise efficiency, but without visibility and control, they risk costly mistakes before anyone can intervene. In this episode, we explore how to transform AI agents from opaque black boxes into steerable, inspectab...

Prefer reading instead? The full article is available here . Demo agents are easy to build, until they crash mid-execution, lose conversation context, or explode your token budget. In this episode, we explore the three critical mechanisms that transform fragile prototypes into production-grade AI systems. You’ll learn: * How to optimize state with reducers and caching — managing growing state effi...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Linear AI chains fail the moment reality gets messy: when APIs break, reasoning loops infinitely, or context is lost between steps. In this episode, we dive into how LangGraph reimagines agent design with stateful, graph-based reason...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Real-world AI agents fail differently than traditional software, silently, with confident hallucinations instead of error codes. In this episode, we explore how AgentOps adapts DevOps principles to handle the unique challenges of LLM...

Prefer reading instead? The full article is available here . The podcast is also available on Spotify and Apple Podcasts . Subscribe to keep up with the latest drops. Real-world decisions often involve conflicting objectives , like boosting sales while avoiding overstock . In this episode, we explore how multi-objective optimization (using NSGA-II with the pymoo library) can model and solve such d...