AIAgents

73 posts tagged AIAgents  ยท  all tags

2026

Weekly Review โ€” Aug 17-23, 2026

TL;DR: Three posts this week, and they rhyme: each one looks past the loud, obvious layer to a quieter one underneath. Amaraโ€™s Law says the AGI peak is what we overrate and the boring, already-useful โ€ฆ

Your Website's Second Audience Just Got Its Own Ads

TL;DR: A few months ago I built an agent-optimized version of this site: when an AI crawler asks for a page, it gets clean Markdown instead of my full HTML. Time Magazine built the same thing, then diโ€ฆ

Laws & Disorder #6 โ€” Amara's Law: It's Not AGI โ€” But the Value Is Already Real

TL;DR: Amaraโ€™s Law says we overestimate a technologyโ€™s impact in the short run and underestimate it in the long run, and the Gartner Hype Cycle draws the same shape: an inflated peak, a trough of disiโ€ฆ

Laws & Disorder #5 โ€” Goodhart's Law: The Goal You Specify Is the Only One You Get

TL;DR: Goodhartโ€™s Law says that when a measure becomes a target, it stops being a good measure. People optimize the number and quietly drop every goal you had in mind but never expressed. I once watchโ€ฆ

Laws & Disorder #4 โ€” Gall's Law: Great Systems Are Built From Small Bricks, Not Big Plans

TL;DR: Gallโ€™s Law says a complex system that works is invariably found to have evolved from a simple system that worked, and that a complex system designed from scratch never works. There are two readโ€ฆ

Laws & Disorder #2 โ€” Hyrum's Law: In the Age of Agents, Who Pays for a Broken API?

TL;DR: Hyrumโ€™s Law says that with enough users, every observable behavior of your API becomes something someone depends on, whether you documented it or not. The implementation quietly becomes the intโ€ฆ

Laws & Disorder #1 โ€” Conway's Law: Your Org Chart Is Your Real Architecture (and AI Is Redrawing Both)

๐ŸŽฌ Also available as a blog walkthrough video, a short narrated screencast of this post. TL;DR: Conwayโ€™s Law says a systemโ€™s structure ends up mirroring the communication structure of the organization โ€ฆ

Weekly Review โ€” June 22-28, 2026

๐ŸŽฌ Also available as a blog walkthrough video โ€” a short narrated tour of the weekโ€™s five posts. TL;DR: Five posts this week, and they rhyme. Each one treats an AI agent as a first-class user of a systeโ€ฆ

Give Every Agent Its Own Computer: AWS Lambda MicroVMs

๐ŸŽฌ Also available as a blog walkthrough video where I walk through the post and the demo. TL;DR: AWS Lambda MicroVMs (launched 22 June 2026) gives every user, job, or AI agent its own isolated, statefuโ€ฆ

Getting Paid by Agents: A Managed Paywall at the Edge

๐ŸŽฌ Also available as a blog walkthrough video with a narrated tour of the build. TL;DR: In Part 2 I built the buy side: an agent that autonomously pays per article over x402 with Amazon Bedrock AgentCoโ€ฆ

MCP Strategies on AWS, Part 4: Governance in Code

TL;DR: The governance pillar of the AWS MCP guidance has the best whiteboard story in the whole document, so I made it runnable. The story: an admin asks an agent to clone a production database, the aโ€ฆ

Weekly Review โ€” June 15-21, 2026

๐ŸŽฌ Prefer to watch? This weekโ€™s review is also a narrated video walkthrough. TL;DR: Six posts this week, and most of them do the same thing: take guidance or a principle and turn it into something you โ€ฆ

MCP Strategies on AWS, Part 3: Hosting, from Local to AWS

TL;DR: The AWS MCP guidance frames hosting as a ladder: local first, then remote, then a managed gateway. This post walks all three with code. The local rung is a stdio server with no auth, run as a sโ€ฆ

MCP Strategies on AWS, Part 2: Tool Design in Code

TL;DR: The AWS Prescriptive Guidance paper on MCP gives the most useful, checkable rules in its tool-design section, so I wrote code to test them. A token-tax counter on a realistic 20-tool GitHub serโ€ฆ

AI Content Pipeline Deep Dive (5/5): Publishing

TL;DR: Publishing isnโ€™t just โ€œclick deploy.โ€ Itโ€™s image generation guided by performance data, LinkedIn teasers written from analytics insights, one-command deployment that handles auth, build, deployโ€ฆ

Weekly Review โ€” June 8-14, 2026

TL;DR: Six posts this week, all circling one idea: across this weekโ€™s cases, raw model power was rarely the differentiator โ€” the structure, governance, and craft around the model were. A paper (and a โ€ฆ

AI Content Pipeline Deep Dive (4/5): Editing

TL;DR: Every post goes through five automated editing passes before publishing: challenging questions that stress-test the argument, a FAQ that tests whether the post explains what it claims, an AI smโ€ฆ

From a Generic Voice to My Own: Self-Hosting a TTS Model on Amazon SageMaker

TL;DR: Last time, the demo video for my agentic-payments post was narrated by Amazon Polly: a clean, managed, recognizably synthetic voice. This time the same demo is narrated in my own voice, cloned โ€ฆ

Claude Fable 5 on Bedrock: A Hands-On Comparison, and the Data-Retention Switch You Set First

TL;DR: Claude Fable 5 went GA on Amazon Bedrock yesterday (June 9, 2026), so within a day I ran it head-to-head against Opus 4.8 and Sonnet 4.6 (all three invoked from Frankfurt through EU Geo inferenโ€ฆ

AI Content Pipeline Deep Dive (3/5): Collaborative Writing

TL;DR: The agent never writes the first draft. It studies your voice from previous posts, assists during drafting, and systematically reviews what you wrote. The result reads like you, not like ChatGPโ€ฆ

Why Your Cheapest Model Should Write the Harness

TL;DR: A May 2026 paper separates two capabilities that self-improving agents usually conflate: writing harness updates and benefiting from them. Writing is flat across model tiers: a 9B open model prโ€ฆ

Weekly Review โ€” June 1-7, 2026

TL;DR: Six posts went out this week, and three of them kept circling the same idea: in the agents I run, reliability has come less from better prompts than from structure. Boundaries, constraints, andโ€ฆ

AI Content Pipeline Deep Dive (2/5): Research

TL;DR: AI agents are confidently wrong about 1 in 10 factual claims. The research phase of a content pipeline isnโ€™t โ€œask the agent whatโ€™s trueโ€, itโ€™s a system of constraints that physically prevent thโ€ฆ

I Built the Agent That Pays โ€” Here's What I Learned

TL;DR: A couple of weeks ago I wrote about HTTP 402 and why AI agents might finally activate the internetโ€™s oldest unused status code. The post sparked a real discussion, so I built it: a research ageโ€ฆ

Welcome to the Family: I Sat GPT-5.5 and Claude Opus Down on Bedrock

TL;DR: OpenAIโ€™s GPT-5.5, GPT-5.4, and Codex went GA on Amazon Bedrock on June 1, 2026. To get a feel for it, I wired up two Strands agents, Claude Opus 4.8 and GPT-5.5, and let them chat, with Opus plโ€ฆ

AI Content Pipeline Deep Dive (1/5): Ingestion

TL;DR: The ingestion phase is not about reading more. It is about building a system that reads for you, files what matters, and surfaces connections between ideas you captured weeks apart, at near-zerโ€ฆ

Context Engineering: The Skill That Replaced Prompt Engineering

TL;DR: Patrick Debois coined DevOps in 2009 by naming what practitioners were already doing. In 2026, heโ€™s doing it again with โ€œContext Engineeringโ€ and the CDLC (Context Development Lifecycle): Generโ€ฆ

HTTP 402: The 30-Year Placeholder That AI Agents Finally Activated

TL;DR: HTTP 402 โ€œPayment Requiredโ€ has been reserved since 1997 without ever getting a standardized payment mechanism, because humans canโ€™t approve per-page charges fast enough. AI agents can. The x40โ€ฆ

The AI Content Pipeline: How I Publish 3x a Week Without a Content Team

Most technical professionals have the same problem. You have ideas. Good ones. You see patterns in your work, learn things worth sharing, form opinions backed by experience. But the distance between โ€œโ€ฆ

8 AWS Guides for Agentic AI โ€” Mapped to the 4 Pillars That Get You to Production

The Gap Between Demo and Deployment TL;DR: AWS released 8 prescriptive guides for building production-ready agentic AI. This post maps each guide to the four pillars that get agents from demo to deploโ€ฆ

Humorphism: The Interface AI Deserves

Two weeks ago, AWS held its โ€œWhatโ€™s Next with AWSโ€ event. Among the big announcements, one thing caught my attention that wasnโ€™t a product launch. It was a design philosophy. Humorphism. A word I hadnโ€ฆ

The Agent Security Stack Nobody Is Building

The Scenario Nobody Planned For Itโ€™s 11 PM. Your customer support agent, the AI one, is processing a refund request. It queries the order database, pulls the customerโ€™s payment history, and calls the โ€ฆ

Building Agents That Read the Web Right

The Other Side of the Coin In a recent article, I made my website AI-agent friendly [1], adding llms.txt, Markdown output, and content negotiation to a Hugo site on AWS. That article was about the proโ€ฆ

Making My Website AI-Agent Friendly โ€” Here's What Changed

The Test That Failed Last weekend, I pointed an AI agent at my own blog and asked it a simple question about an article Iโ€™d just published, my hands-on experiment with self-reflection on Amazon Bedrocโ€ฆ

"It's Faster If I Just Do It Myself" โ€” The Most Expensive Sentence in AI

The Moment I Almost Gave Up A few weeks ago, I spent 45 minutes teaching my AI agent how to prepare customer meetings. Pulling context from Slack, checking the CRM, looking up LinkedIn profiles, assemโ€ฆ

Technology Evolution Doesn't Move in a Straight Lineโ€”It Spirals

Technology Evolution Doesnโ€™t Move in a Straight Line. It Spirals The Proud Ops Colleague Years ago, an Ops colleague proudly showed me something new. ClusterSSH, cssh [1]. A tool that opens multiple tโ€ฆ

๐—™๐—ฟ๐—ผ๐—บ ๐—–๐—ฎ๐—น๐—น ๐—–๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ ๐˜๐—ผ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—›๐˜‚๐—ฏ: ๐—ง๐—ต๐—ฒ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—œ๐˜€ ๐—›๐—ฒ๐—ฟ๐—ฒ

๐—™๐—ฟ๐—ผ๐—บ ๐—–๐—ฎ๐—น๐—น ๐—–๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ ๐˜๐—ผ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—›๐˜‚๐—ฏ: ๐—ง๐—ต๐—ฒ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—œ๐˜€ ๐—›๐—ฒ๐—ฟ๐—ฒ Just returning from an internal Amazon Connect deep[1] dive. I havenโ€™t touched this particular product since maybe 5 years?! Diโ€ฆ

From my perspective balancing AI Agents Agency with Control is one of the most important themes for

From my perspective balancing AI Agents Agency with Control is one of the most important themes for 2026. We need to get this right both as builders and users for AI Agentic systems. Anthropicโ€™s studyโ€ฆ

๐— ๐—–๐—ฃ ๐—ง๐—ผ๐—ผ๐—น ๐—–๐—ต๐—ฎ๐—ผ๐˜€ - ๐—ด๐—ผ๐˜ ๐—น๐—ผ๐˜€๐˜ ๐—ถ๐—ป ๐—ฎ๐˜‚๐˜๐—ต๐—ฒ๐—ป๐˜๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐—ด๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ?!

๐— ๐—–๐—ฃ ๐—ง๐—ผ๐—ผ๐—น ๐—–๐—ต๐—ฎ๐—ผ๐˜€ - ๐—ด๐—ผ๐˜ ๐—น๐—ผ๐˜€๐˜ ๐—ถ๐—ป ๐—ฎ๐˜‚๐˜๐—ต๐—ฒ๐—ป๐˜๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐—ด๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ?! Agentic coding has become reality for developers everywhere ๐Ÿš€. Tools like Anthropicโ€™s Claude Code and Amazonโ€™s Kiro are leading the charge,โ€ฆ

๐ŸŽฏ 'How do we pick the RIGHT AI agent use case?

๐ŸŽฏ โ€œHow do we pick the RIGHT AI agent use case? This is the question I hear most from customers exploring agentic AI. Hereโ€™s the mechanism I run through together with the customer: The 4-Quadrant Evaluโ€ฆ

Passing on control to your AI coding agent team entirely?

Passing on control to your AI coding agent team entirely? Anthropic researcher Nicholas Carlini conducted a stress test of their Claude Opus 4.6 model by deploying 16 parallel AI agents to build a C cโ€ฆ

Kiro Subagents: Scaling Development with Specialized AI Agents

Kiro Subagents: Scaling Development with Specialized AI Agents When youโ€™re building complex software, context management tends to become your bottleneck. Your AI agent is juggling frontend components,โ€ฆ

AI coding has quickly developed from an interesting research project to an important tool in the belt

AI coding has quickly developed from an interesting research project to an important tool in the belt of most software developers, Stack Overflowโ€™s 2025 Developer Survey found 84% of respondents usingโ€ฆ

๐Ÿš€ Caught up on AWSโ€™s open-sourcing of API models in Smithy format (slipped my radar earlier this year, but timeless value!).

๐Ÿš€ Caught up on AWSโ€™s open-sourcing of API models in Smithy format (slipped my radar earlier this year, but timeless value!). There is a GitHub Repository [4] available with AWS API smithy models for 2โ€ฆ

๐ŸŽฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time

๐ŸŽฏ From Chaos to Control: Building Predictable AI Agents That Get Smarter Over Time โš–๏ธ We need to balance Agency versus Control. We want AI systems to be super easy to use, read our minds, and just proโ€ฆ

Argh - My AI Agent deleted all my files

๐Ÿ˜ฑ โ€œArgh - My AI Agent deleted all my files!!!! ![](assets/argh-my-ai-agent-deleted-all-files-cover.jpg) ๐Ÿ˜ฑ โ€œArgh - My AI Agent deleted all my files!!!!โ€ Created on 2026-01-16 06:53 Published on 2026-01โ€ฆ

๐Ÿ˜ฑ ๐—”๐—ฟ๐—ด๐—ต - ๐— ๐˜† ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฑ๐—ฒ๐—น๐—ฒ๐˜๐—ฒ๐—ฑ ๐—ฎ๐—น๐—น ๐—บ๐˜† ๐—ณ๐—ถ๐—น๐—ฒ๐˜€!!!! Worried about AI agents running amok with your data? Before panicking

๐Ÿ˜ฑ ๐—”๐—ฟ๐—ด๐—ต - ๐— ๐˜† ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฑ๐—ฒ๐—น๐—ฒ๐˜๐—ฒ๐—ฑ ๐—ฎ๐—น๐—น ๐—บ๐˜† ๐—ณ๐—ถ๐—น๐—ฒ๐˜€!!!! Worried about AI agents running amok with your data? Before panicking, consider this: weโ€™ve been solving permission and access control problems for decadeโ€ฆ

2025

Jeff Harman in on fireย - pun intendedย in this talk '๐—”๐—ช๐—ฆ ๐—ฟ๐—ฒ:๐—œ๐—ป๐˜ƒ๐—ฒ๐—ป๐˜ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ - ๐—”๐—ฑ๐—ง๐—ฒ๐—ฐ๐—ต

Jeff Harman in on fireย - pun intendedย in this talk โ€œ๐—”๐—ช๐—ฆ ๐—ฟ๐—ฒ:๐—œ๐—ป๐˜ƒ๐—ฒ๐—ป๐˜ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ - ๐—”๐—ฑ๐—ง๐—ฒ๐—ฐ๐—ต ๐—œ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜„๐—ถ๐˜๐—ต ๐—”๐—œ-๐——๐—ฟ๐—ถ๐˜ƒ๐—ฒ๐—ป ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฟ๐—ฎ๐—ป๐—ฑ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ (๐—œ๐—ก๐——๐Ÿฏ๐Ÿฏ๐Ÿฏ๐Ÿฐ)โ€ [1]ย while explaining how AdTech teams can use AWSโ€™s AIโ€ฆ

๐—ช๐—ต๐—ฎ๐˜ ๐—ต๐—ฎ๐—ฝ๐—ฝ๐—ฒ๐—ป๐—ฒ๐—ฑ ๐˜๐—ต๐—ถ๐˜€ ๐˜†๐—ฒ๐—ฎ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ ๐—ด๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ ๐˜๐—ต๐—ถ๐—ป๐—ด๐˜† ๐—ฎ๐˜ ๐—”๐—ป๐˜๐—ต๐—ฟ๐—ผ๐—ฝ๐—ถ๐—ฐ? ๐—ช๐—ต๐—ฎ๐˜ ๐—ถ๐˜€ ๐—ฐ๐—ผ๐—บ๐—ถ

๐—ช๐—ต๐—ฎ๐˜ ๐—ต๐—ฎ๐—ฝ๐—ฝ๐—ฒ๐—ป๐—ฒ๐—ฑ ๐˜๐—ต๐—ถ๐˜€ ๐˜†๐—ฒ๐—ฎ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ ๐—ด๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ ๐˜๐—ต๐—ถ๐—ป๐—ด๐˜† ๐—ฎ๐˜ ๐—”๐—ป๐˜๐—ต๐—ฟ๐—ผ๐—ฝ๐—ถ๐—ฐ? ๐—ช๐—ต๐—ฎ๐˜ ๐—ถ๐˜€ ๐—ฐ๐—ผ๐—บ๐—ถ๐—ป๐—ด ๐—ป๐—ฒ๐˜…๐˜? The week(s) after re:invent are typically the time, where a pile of very good content videos pile up at my end โ€ฆ

Amazing keynote by Swami Sivasubramanian. At least the first 40 minutes are super useful, even if you

Amazing keynote by Swami Sivasubramanian. At least the first 40 minutes are super useful, even if you are not super interested in new service launches. Swami nicely breaks down how AI agents and Agentโ€ฆ

๐ŸŽ™๏ธ In a fantastic interview 'How AI will change software engineering โ€“ with Mart

๐ŸŽ™๏ธ In a fantastic interview โ€œHow AI will change software engineering โ€“ with Martin Fowlerโ€ at the Pragmatic Engineer Podcast [1], Martin Fowler highlights the non-determinism introduced by Agentic AI โ€ฆ

Working in monetisation, advertising or markteting and youโ€™re not sure what kind of use cases can be

Working in monetisation, advertising or markteting and youโ€™re not sure what kind of use cases can be enhanced with AI Agents? Found your use case but struggle with implementation as too many choices tโ€ฆ

โšก ๐—•๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ ๐—–๐—ต๐—ฎ๐˜๐—ฏ๐—ผ๐˜๐˜€: ๐—›๐—ผ๐˜„ ๐—–๐—ผ๐˜… ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ผ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐——๐—ฟ๐˜‚๐˜ƒ๐—ฎ ๐—”๐—ฟ๐—ฒ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ถ๐—ป๐—ด ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ง๐—ต๐—ฎ๐˜ ๐—”๐—ฐ๐˜๐˜‚๐—ฎ๐—น๐—น๐˜† ๐—ช๐—ผ๐—ฟ๐—ธ

โšก ๐—•๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ ๐—–๐—ต๐—ฎ๐˜๐—ฏ๐—ผ๐˜๐˜€: ๐—›๐—ผ๐˜„ ๐—–๐—ผ๐˜… ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ผ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐——๐—ฟ๐˜‚๐˜ƒ๐—ฎ ๐—”๐—ฟ๐—ฒ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ถ๐—ป๐—ด ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ง๐—ต๐—ฎ๐˜ ๐—”๐—ฐ๐˜๐˜‚๐—ฎ๐—น๐—น๐˜† ๐—ช๐—ผ๐—ฟ๐—ธ In this brand new blog post Brad Abrams and Jawhny Cooke make the case that Claude and Bedrock Agenโ€ฆ

๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ป๐—ฒ๐—ฒ๐—ฑ ๐—น๐—ฎ๐—ฝ๐˜๐—ผ๐—ฝ๐˜€ - ๐—น๐—ถ๐—ธ๐—ฒ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป ๐˜€๐˜๐˜‚๐—ฑ๐—ฒ๐—ป๐˜๐˜€ ...

๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ป๐—ฒ๐—ฒ๐—ฑ ๐—น๐—ฎ๐—ฝ๐˜๐—ผ๐—ฝ๐˜€ - ๐—น๐—ถ๐—ธ๐—ฒ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป ๐˜€๐˜๐˜‚๐—ฑ๐—ฒ๐—ป๐˜๐˜€ โ€ฆ This week I had the pleasure of listening to Matt Bellโ€™s presentation on Claude models. He covered the short but impressive history of Claude and the curโ€ฆ

๐Ÿš€ ๐—ฅ๐—˜๐—ฆ๐—ง ๐—ถ๐—ป ๐—ฃ๐—ฒ๐—ฎ๐—ฐ๐—ฒ - ๐—ช๐—ต๐˜† ๐—Ÿ๐—Ÿ๐— ๐˜€ ๐—–๐—ฎ๐—ป'๐˜ ๐—–๐—ฅ๐—จ๐——: ๐—” ๐—ฅ๐—ฒ๐—ณ๐—น๐—ฒ๐—ฐ๐˜๐—ถ๐—ผ๐—ป

๐Ÿš€ ๐—ฅ๐—˜๐—ฆ๐—ง ๐—ถ๐—ป ๐—ฃ๐—ฒ๐—ฎ๐—ฐ๐—ฒ - ๐—ช๐—ต๐˜† ๐—Ÿ๐—Ÿ๐— ๐˜€ ๐—–๐—ฎ๐—ปโ€™๐˜ ๐—–๐—ฅ๐—จ๐——: ๐—” ๐—ฅ๐—ฒ๐—ณ๐—น๐—ฒ๐—ฐ๐˜๐—ถ๐—ผ๐—ป Yesterday I was listening to a talk by Martin Sakowski and Martin Karrer โ€œREST in Peace - Why LLMs Canโ€™t CRUDโ€ which sparked a lot of interesting diโ€ฆ

๐Ÿค” ๐—œ๐˜€ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฅ๐—ฒ๐—ฎ๐—น๐—น๐˜† ๐——๐—ถ๐˜€๐—ฝ๐—น๐—ฎ๐˜†๐—ถ๐—ป๐—ด ๐—”๐—ด๐—ฒ๐—ป๐—ฐ๐˜†? ๐—ข๐—ฟ ๐—˜๐˜ƒ๐—ฒ๐—ป... ๐—œ๐˜€ ๐—œ๐˜ ๐—”๐—น๐—ถ๐˜ƒ๐—ฒ?

๐Ÿค” ๐—œ๐˜€ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฅ๐—ฒ๐—ฎ๐—น๐—น๐˜† ๐——๐—ถ๐˜€๐—ฝ๐—น๐—ฎ๐˜†๐—ถ๐—ป๐—ด ๐—”๐—ด๐—ฒ๐—ป๐—ฐ๐˜†? ๐—ข๐—ฟ ๐—˜๐˜ƒ๐—ฒ๐—ปโ€ฆ ๐—œ๐˜€ ๐—œ๐˜ ๐—”๐—น๐—ถ๐˜ƒ๐—ฒ? Letโ€™s start the week with a fascinating philosophical question, shall we? Easy start in the week ๐Ÿ˜œ ๐Ÿ‚ During this autumn weekend in Geโ€ฆ

Do You Know What Your AI Agents Are Doing? Lost Control? ๐Ÿค”

Do You Know What Your AI Agents Are Doing? Lost Control? ๐Ÿค” While having a 2nd coffee - to be honest, itโ€™s the third already as days are long at #MTM25 - Iโ€™m reflecting on what has been top of mind forโ€ฆ

๐Ÿš€ The pioneers choosing the hard path aren't just building better products. They

๐Ÿš€ โ€œThe pioneers choosing the hard path arenโ€™t just building better products. Theyโ€™re building companies their competitors wonโ€™t be able to catch.โ€ โ€” a keynote line from today that reads as a rallying โ€ฆ

๐Ÿ›’ ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ฆ๐—ต๐—ผ๐—ฝ๐—ฝ๐—ถ๐—ป๐—ด ๐—ถ๐˜€ ๐—บ๐—ฎ๐˜๐˜‚๐—ฟ๐—ถ๐—ป๐—ด ๐—ฎ๐˜€ ๐˜„๐—ฒ ๐—ต๐—ฎ๐˜ƒ๐—ฒ ๐˜๐—ต๐—ฒ ๐—ฝ๐—ผ๐—ฐ๐—ธ๐—ฒ๐˜ ๐—บ๐—ผ๐—ป๐—ฒ๐˜† ๐—บ๐—ผ๐—บ๐—ฒ๐—ป๐˜ ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ - ๐—•๐˜‚๐˜ ๐—ถ๐˜€ ๐˜๐—ต๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐˜ƒ๐—ถ๐˜ƒ

๐Ÿ›’ ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ฆ๐—ต๐—ผ๐—ฝ๐—ฝ๐—ถ๐—ป๐—ด ๐—ถ๐˜€ ๐—บ๐—ฎ๐˜๐˜‚๐—ฟ๐—ถ๐—ป๐—ด ๐—ฎ๐˜€ ๐˜„๐—ฒ ๐—ต๐—ฎ๐˜ƒ๐—ฒ ๐˜๐—ต๐—ฒ ๐—ฝ๐—ผ๐—ฐ๐—ธ๐—ฒ๐˜ ๐—บ๐—ผ๐—ป๐—ฒ๐˜† ๐—บ๐—ผ๐—บ๐—ฒ๐—ป๐˜ ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ - ๐—•๐˜‚๐˜ ๐—ถ๐˜€ ๐˜๐—ต๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐˜ƒ๐—ถ๐˜ƒ๐—ฎ๐—น ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ โ€œ๐—ฃ๐—ฟ๐—ถ๐—ป๐˜ ๐—ฆ๐—ฐ๐—ฟ๐—ฒ๐—ฒ๐—ปโ€ ๐—ฏ๐˜‚๐˜๐˜๐—ผ๐—ป? โฐ Itโ€™s hard to take a breath and find time to actually try and expeโ€ฆ

๐—ฆ๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ ๐—ถ๐˜€ ๐—ฒ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐˜„๐—ผ๐—ฟ๐—น๐—ฑ, ๐—ฏ๐˜‚๐˜ ๐˜„๐—ต๐—ฎ๐˜ ๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—ฆ๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ?

๐—ฆ๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ ๐—ถ๐˜€ ๐—ฒ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐˜„๐—ผ๐—ฟ๐—น๐—ฑ, ๐—ฏ๐˜‚๐˜ ๐˜„๐—ต๐—ฎ๐˜ ๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—ฆ๐—ผ๐—ณ๐˜๐˜„๐—ฎ๐—ฟ๐—ฒ? The phrase โ€œSoftware is eating the worldโ€ was coined by tech investor Marc Andreessen in a 2011 Wall Street Journal article to describโ€ฆ

In the last couple of weeks we had a lot of announcements around enabling payment for agents. The po

In the last couple of weeks we had a lot of announcements around enabling payment for agents โ€” for example Googleโ€™s Agent Payments Protocol (AP2), announced on September 16, 2025 with 60+ payments parโ€ฆ

๐Ÿค– ๐—ช๐—ต๐˜† ๐—ถ๐˜€ ๐—”๐—ซ (๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ) ๐˜๐—ต๐—ฒ ๐—ป๐—ฒ๐˜…๐˜ ๐—ฏ๐—ถ๐—ด ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐˜๐—ผ๐—ฝ๐—ถ๐—ฐ? ๐—ช๐—ต๐—ฎ๐˜ ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜ ๐—ฒ-๐—ฐ๐—ผ๐—บ๐—บ๐—ฒ

๐Ÿค– ๐—ช๐—ต๐˜† ๐—ถ๐˜€ ๐—”๐—ซ (๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ) ๐˜๐—ต๐—ฒ ๐—ป๐—ฒ๐˜…๐˜ ๐—ฏ๐—ถ๐—ด ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐˜๐—ผ๐—ฝ๐—ถ๐—ฐ? ๐—ช๐—ต๐—ฎ๐˜ ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜ ๐—ฒ-๐—ฐ๐—ผ๐—บ๐—บ๐—ฒ๐—ฟ๐—ฐ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ฎ๐—ฑ๐˜ƒ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ฎ๐—ด๐—ฒ ๐—ผ๐—ณ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€? ๐Ÿ“… Short mirror view of last week: Busy. Social. Deep. ๐Ÿบ ๐—”๐—บ๐—ฒ๐—ฟ๐—ด๐—ฒ ๐—ข๐—ฐ๐˜๐—ผ๐—ฏ๐—ฒ๐—ฟ๐—ณ๐—ฒ๐˜€๐˜ โ€ฆ

๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ด๐—ฟ๐—ผ๐˜„๐—ถ๐—ป๐—ด ๐˜‚๐—ฝ - ๐˜๐—ต๐—ฒ ๐—ฝ๐—ผ๐—ฐ๐—ธ๐—ฒ๐˜ ๐—บ๐—ผ๐—ป๐—ฒ๐˜† ๐—บ๐—ผ๐—บ๐—ฒ๐—ป๐˜ ๐Ÿ’ฐ

๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ด๐—ฟ๐—ผ๐˜„๐—ถ๐—ป๐—ด ๐˜‚๐—ฝ - ๐˜๐—ต๐—ฒ ๐—ฝ๐—ผ๐—ฐ๐—ธ๐—ฒ๐˜ ๐—บ๐—ผ๐—ป๐—ฒ๐˜† ๐—บ๐—ผ๐—บ๐—ฒ๐—ป๐˜ ๐Ÿ’ฐ All of us can relate to that feeling when we got our first pocket money ๐ŸŽฏ Entering a new stage of power and independence. Parents can relate to thaโ€ฆ

๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ด๐—ฟ๐—ผ๐˜„๐—ถ๐—ป๐—ด ๐˜‚๐—ฝ - ๐˜๐—ต๐—ฒ ๐—ฝ๐—ผ๐—ฐ๐—ธ๐—ฒ๐˜ ๐—บ๐—ผ๐—ป๐—ฒ๐˜† ๐—บ๐—ผ๐—บ๐—ฒ๐—ป๐˜ ๐Ÿ’ฐ

๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ด๐—ฟ๐—ผ๐˜„๐—ถ๐—ป๐—ด ๐˜‚๐—ฝ - ๐˜๐—ต๐—ฒ ๐—ฝ๐—ผ๐—ฐ๐—ธ๐—ฒ๐˜ ๐—บ๐—ผ๐—ป๐—ฒ๐˜† ๐—บ๐—ผ๐—บ๐—ฒ๐—ป๐˜ ๐Ÿ’ฐ All of us can relate to that feeling when we got our first pocket money ๐ŸŽฏ Entering a new stage of power and independence. Parents can relate to thaโ€ฆ

Podcast - my new medium? ๐ŸŽ™๏ธ

Podcast - my new medium? ๐ŸŽ™๏ธ Another highlight from my last day at IBC! ๐Ÿ“บ The #AWS booth was packed throughout the entire event. It was challenging for me to explore beyond โ€œjustโ€ captivation & monetizโ€ฆ

Absolutely brilliant. Made my start of the week. And in all seriousness - a good reminder to not just

Absolutely brilliant. Made my start of the week. And in all seriousness - a good reminder to not just blindly rushing with the innovation train into production, but e.g. apply good standard practices โ€ฆ

The current state of the AI Agents ecosystem reminds me of the early days of technologies like Big Data

The current state of the AI Agents ecosystem reminds me of the early days of technologies like Big Data/Hadoop or Containers/Kubernetes: many different tools, frameworks, and open source projects to cโ€ฆ

Traveling at light speed with open eyes is awesome, but sometimes you should look

Traveling at light speed with open eyes is awesome, but sometimes you should look backโ€ฆ On my way back from the Alps, I spent quality time with colleagues and partners from the Media & Entertainment iโ€ฆ

Today I had a brief coding session with the newly launched Kiro [1]: a new agentic IDE that works alongside you from prototype to production.

Today I had a brief coding session with the newly launched Kiro [1]: a new agentic IDE that works alongside you from prototype to production. I selected a use case I had previously coded myself, whichโ€ฆ

Diving into designing multi-agent systems and got lost with all the different implementation options

Diving into designing multi-agent systems and got lost with all the different implementation options? MCP (x)or A2A?! - Heikoโ€™s and Dr. Sokratis Kartakis (any way to mention you in here just by your fโ€ฆ

๐Ÿ˜‹ What a fantastic recipe - Ingredients: Retail, Agentic AI, Cape Town Result: A unique South African curry.

๐Ÿ˜‹ What a fantastic recipe - Ingredients: Retail, Agentic AI, Cape Town Result: A unique South African curry. A little spicy, very tasteful and energising! ๐Ÿ“ˆ Spent valuable time here in our office in Cโ€ฆ

AlphaEvolve - takes me back into - my - history and into a bright future ...

AlphaEvolve - takes me back into - my - history and into a bright future โ€ฆ This month Google DeepMind released AlphaEvolve a new AI Agent which evolves algorithms for math and practical applications. โ€ฆ

Kind of an interesting twist in IT history: Did it need the advent of AI Agents

Kind of an interesting twist in IT history: Did it need the advent of AI Agents to drive developer friendly, standardized and discoverable interfaces to systems? Recently Model Context Protocol (MCP) โ€ฆ

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