AI’s Diminishing Returns: Avoiding the Overreliance Trap
Author(s): Prasoon Mukherjee Originally published on Towards AI. “I find it hard to see, how there can be a good return on investment given, the current math.” This warning about AI infrastructure economics is not just for tech investors, but it has …
Where LLMs Belong in Agentic Systems: Gating, Approval, and Human-in-the-Loop Design
Author(s): Vahe Sahakyan Originally published on Towards AI. This article closes a four-part series on designing agentic AI systems. So far, we’ve focused on structure first. We separated agentic behavior from language models. We built workflows with explicit control flow, shared state, …
LangChain vs LangGraph: Pipelines vs Processes in Agentic Systems
Author(s): Vahe Sahakyan Originally published on Towards AI. The first time you try to build a real agentic system, something breaks. Not a bug.An assumption. At first, everything looks fine. You chain together a few steps. The model reasons. A tool gets …
TAI #192: AI Enters the Scientific Discovery Loop
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, LLMs crossed from tools into participants in scientific discovery. OpenAI released a preprint, “Single-minus gluon tree amplitudes are nonzero,” in which GPT-5.2 …
The Admin Work Killing Your Practice Has a Simple Fix You’re Probably Ignoring
Author(s): Bobby Tredinnick Originally published on Towards AI. Article Authored By Bobby Tredinnick LMSW-CASAC; CEO & Lead Clinician at Interactive Health Companies including Coast Health Consulting & Interactive International Solutions Created By OpenAI Clinicians across the field are exhausted. Not the kind …
The boring AI That Keeps Planes in The Sky
Author(s): Marco van Hurne Originally published on Towards AI. One of the ways I keep myself busy in the AI domain is by running an AI factory at scale. And I’m not talking about the metaphorical kind where someone prompts an AI …
SEMANTIC-WORM: Studying Information Propagation Patterns in LLM-Based Agent Networks
Author(s): Antares Originally published on Towards AI. Abstract As LLM-based autonomous agents move from research prototypes into production workflows, understanding how information propagates through multi-agent systems becomes a critical safety concern. We introduce SEMANTIC-WORM -a controlled experimental framework for studying how semantic …
What I Learned Building a Job-Matching System in Hebrew: Reversed Text, I/O Psychology, and When to Ditch the LLM
Author(s): Tom Ron Originally published on Towards AI. This is Part 2 of a series on building job-matching systems. Part 1 covered why job matching is fundamentally harder than it looks. This post is the technical deep-dive. In Part 1, I wrote …
The Complete Guide to RAG: Why Retrieval-Augmented Generation Is the Backbone of Enterprise AI in 2026
Author(s): Faisal haque Originally published on Towards AI. How a simple architectural pattern became the $11 billion standard for making AI actually useful — and how you can master it Eighteen months ago, a VP at a Fortune 500 company asked me …
3 Game-Changing Tools for Modern Data Science
Author(s): Mohamed Abdelsalam Originally published on Towards AI. Introduction The rise of LLMs facilitates “vibe coding,” making it fast to generate initial Python scripts. However, this ease creates a false sense of progress. Building professional-grade data products requires more than quick scripts; …
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