The Future of Agentic Workflows with Gemini 2.5
For the past couple of weeks, I’ve been conducting experiments with a couple of different types of agentic frameworks, mainly:
Workflows: predictable, code-driven pipelines with LLMs + tools.
Hierarchical Agents (aka Supervisors): an agent design with dynamic feedback where a Supervisor agent guides the process by delegating to other agents; agents can take actions and make decisions with autonomy.
Supervisors have a high degree of autonomy, including making decisions around which agents to delegate to and when to end the workflow.
Agent architectures are more attractive when you want to combine already pre-built ReAct agents with existing toolsets in a workflow.
Workflows are more reliable for production apps when orchestration needs to be deterministic.
When Achilles Meets AI with Gemini’s Veo 2 🎬
Ever wondered what happens when ancient heroes collide with cutting-edge AI?
I spent the better part of my weekend exploring Google’s latest AI video generator, Veo 2, via the Whisk experiment.
The results?
Let’s just say, even Achilles had his off days.
AI JIRA Agent with Replit
As a PO, create an AI JIRA Agent so I never have to write JIRA stories ever again 🙏
Just joshing.
Ditching Google Search Never Felt Easier
Google used to be my go-to for everything, but lately, search results feel like a battlefield of ads, and SEO-optimized fluff.
So I quit Google Search and decided to embrace AI instead.
Google Raised the Bar with Gemini 2.5 Pro
Imagine AI that doesn’t just respond—but actually thinks.
That’s exactly what Gemini 2.5 delivers with Google's most intelligent model yet.
Google's AI Assistant just got a Massive Upgrade ⚡
Last week Gemini upgraded its most popular features—including Deep Research—with an updated 2.0 Flash Thinking Experimental model and personalization.