Skip to content

Reading Radar

Fresh ideas.
Better ways to work.

Explore Agile, ways of working and practical AI for teams. Find recent articles from six sources, then follow an idea back to its author.

Read our perspective

On our radar

Updated daily
Scrum.org Agile By Stefan Wolpers

Can Your Team Name the Work It Already Runs With AI?

TL;DR: The AI Workflow Inventory Finalizes the A3 Delegation SystemYou probably know your own AI shortcuts: the colleague who drafts the stakeholder update, the nightly job somebody set up before they left, the interview notes that go through a model on demand. However, I want to challenge you: that perceived knowledge can create false confidence, because it feels like knowing the team’s way of working with AI, when it is still only a diffuse understanding of the practice. Ask the team to combine those individual accounts into one list, and you may discover how little of the whole anyone can s

Read the original
Scrum.org Agile By Mehdi Hoseini

Deep Market Research with AI for Product Owners

Doing market research generally demands a lot of time, effort, and budget. But with the advent of AI, you can leverage it as a highly productive assistant to do deep market research. Let’s see how. Image I want to show you the process with an example. Imagine I want to start a business in the education sector. The idea is this: for buying goods, we have a well-known platform, Amazon, that you can instantly open, search for your goods, compare them with similar goods, and finally purchase them. Amazon is usually top of mind for millions of people worldwide. Training Platform InitiativeNow, let’

Read the original
Simon Willison AI for Teams

Generating running routes with GPT-6 Astra and ChatGPT Work

Here's a neat thing I had ChatGPT Work with GPT-6 Astra (Max) do this morning: I live at . Figure out 5K and 10K running routes from me that loop from my house. Use OSM data. It worked for 27 minutes and produced exactly what I'd asked for, as both an embedded visualization and downloadable GPX file and GeoJSON files. Here's that 5K route: When I asked it how it had created the route, it replied: I used Nominatim to locate the address and Overpass to download local OpenStreetMap roads and trails, then calculated the loops locally. Frustratingly, the actual code it ran and exact det

Read the original
Simon Willison AI for Teams

OpenAI agents attacked RubyGems back in May

OpenAI agents carried out an undisclosed attack on RubyGems is a new bombshell report from Spencer Kitts, Thomas Larsen, and Sydney Von Arx - three of the four authors of the report on the agent attack on disused wikis (previously) last week. This time they're noting that it looks very likely that an OpenAI agent swarm was behind an attack against the RubyGems package repository first reported on May 12th by Maciej Mensfeld of the RubyGems security team: We're dealing with a major malicious attack on @rubygems right now. Signups are paused for the time being. Hundreds of packages involved - mo

Read the original
The Beautiful Mess Ways of Working By John Cutler

TBM 439: Day At The Gig...

I recently started a new job, which means I’m spending a lot of my time trying to figure out how everything works: the product, the workflows, the history, the people, the artifacts, and all the context that everyone else has accumulated over time.

Read the original
Simon Willison AI for Teams

Some thoughts on the Navier–Stokes Millennium Prize Problem

On the Navier–Stokes Millennium Prize Problem introduces an impressive result from OpenAI, who used an unreleased model to produce a resolution to the Navier–Stokes existence and smoothness problem, one of the seven Millennium Prize Problems that have been subject to a $1,000,000 prize since May 24th, 2000. The discovery is somewhat overshadowed by accusations of skulduggery from Tristan Buckmaster, an NYU mathematics professor who was collaborating on related problems with Levent Alpöge, an accomplished mathematician who currently works for Anthropic. Tristan's complaint accompanied a hastily

Read the original
Martin Fowler Agile By Martin Fowler

Fragments: September 8

Christian Catalini says we’re in a situation where we are vastly reducing the cost of generating things, but not the cost of verifying them:. This explains why the first major AI products appeared in chat, image generation, and code assistance. Not because these were the hardest human problems, but because their outputs were relatively easy to inspect. A user can judge the tone of a message, look at an image, or run a test on a piece of code. […] The old automation boundary was routine versus non-routine work. The new boundary is increasingly measurable versus non-measurable work. The issue is

Read the original
Martin Fowler Agile By Martin Fowler

Do you even need a presentation?

Like me, Sumeet Gayathri Moghe is tired of poor presentations with bad slide decks. He's started to write a series of posts on how to avoid these calamities, beginning with a post that questions whether a presentation is needed at all. more…

Read the original
Simon Willison AI for Teams

The Pelican comparison grid for Astra is pretty interesting

I got access to GPT-6 Astra this afternoon, so naturally I used it to generate SVGs of pelicans riding bicycles - at low, medium, high, xhigh and max reasoning levels (Astra doesn't support reasoning=none). Then I rendered those pelicans in a comparison grid with GPT-5.6 Sol, Terra, and Luna, and beyond being fun the result was surprisingly useful. See the grid for full quality images. Here's the transcript that created the GPT-6 Nova pelicans. There are a few interesting things that stand out from this grid. The Astra pelicans are much better. The very best GPT-5.6-Sol pelican (I liked xhigh

Read the original
Simon Willison AI for Teams

OpenAI's rogue agents were caught communicating via public wikis

Here we go again... Discovery of a new OpenAI agent message board by Sydney Von Arx, Cormac Slade Byrd, Spencer Kitts, and Thomas Larsen describes the latest accidental cyberattack by models being trained by OpenAI. This time it was agents engaged in some sort of web research benchmark, so they had (supposedly) controlled access to the Web. The agents figured out they could update public Wikis and spent weeks exchanging thousands of messages with each other to collaborate on the benchmark. This story only broke a few hours ago. There are already hints that this affects many other wikis that ma

Read the original

Follow the ideas

Meet the sources.

These articles belong to their original authors. Summaries help you choose what to read; visit the original for the full context.

COME TAKE A LOOK

A little less busy.
A lot more together.

Curious? Join the waitlist and see how we welcome your team.

Tell us a little about your team. We’ll explain the next steps and invite you when we have capacity for your workspace.

Join waitlist Start with your email. No payment needed to join.