How We Maintain a Coherent D&D Campaign World with AI Every Dungeon Master has the same problem.

This is a fun one! One of our engineers uses Friday to manage her D&D campaign.

It tracks characters, storylines, and world state, and keeps everything consistent over time.

Turns out Friday makes a great D&D assistant.

medium.com/p/1fb9dd7ecd7e

What if AI already knew how you work? Introducing Skills in Friday AI

Most AI tools forget how you work.

Friday doesn't, with Skills. Add your preferences once, and they’re applied across everything you do.

Get more consistency, with less repetition.

medium.com/friday-ai/01...

GitHub - ljagiello/ctf-skills: Agent skills for solving CTF challenges - web exploitation, binary pwn, crypto, reverse engineering, forensics, OSINT, and more Agent skills for solving CTF challenges - web exploitation, binary pwn, crypto, reverse engineering, forensics, OSINT, and more - ljagiello/ctf-skills

Built some AI skills for CTFs → tested at #BSidesSF CTF.

🤖 Agent solved 50/54 challenges almost effortlessly.

Feels like a real shift in security problem-solving.

github.com/ljagiello/ct...

Our Team’s Favorite AI Skills (And How We Use Them) If you’ve spent enough time with an AI coding tool, you’ve noticed it has a default mode: Helpful. Agreeable. Thorough to the point of…

Skills are one of those things that have dramatically changed how we use AI tools. The difference is night and day and without them, it would be hard to build efficiently modern software.

Check out some of our team’s favorite skills!
blog.hellofriday.ai/our-teams-fa...

People are trying to force AI to be deterministic.

That’s a mistake.

It may work at first, but it breaks over time.

LLMs shouldn’t generate systems, they should make decisions about them.

Let models plan and deterministic systems execute.

We built a way to track every open deal in HubSpot.

It monitors open deals
analyzes what’s happening
suggests what to do next
and follows through.

this is what it looks like ↓

Building AI Agent Systems is a Management Problem The second article in a three-part series on how our team took non-deterministic LLMs and built agents to be more reliable.

Building reliable AI agent systems is less about prompting and more about coordination.

Once execution starts, reliability depends on managing state, tools, and failure.

Read more 👇
blog.hellofriday.ai/building-ai-...

What Does It Actually Mean for AI to Do Work? The first article in a three-part series on how our team took non-deterministic LLMs and built agents to be more reliable.

Most AI is great at responding, but bad at doing real work. Work isn’t one prompt.

So how do you make nondeterministic AI reliable?
- Start with planning
- Structure intent into workflows

Result: predictable AI that still feels powerful.

More here: blog.hellofriday.ai/what-does-it...

A "simple idea" now generates 100+ pull requests every week fixing small issues across our codebase.

That’s 2–3 days of manual work saved weekly.

Automation handles the tiny fixes so engineers can focus on the hard problems.

Less than a year ago, using AI to get real work done meant specialized skills, tons of code, and endless copy-pasting between tools. That's why we built Friday - a platform where AI agents collaborate to solve real problems, not just answer prompts. Try it: hellofriday.ai

The Story of Linear as told by its CTO Tuomas Artman went from Big Tech to startup co-founder. He shares building of Linear, the working culture and learnings from Big Tech

Tiny gem from Linear founder @artman.bsky.social on the @pragmaticengineer.com "We are building on top of Google Cloud. When you are choosing your cloud provider, you really have two straightforward options: AWS or GCP. On paper, they look pretty similar." [1/5]