I'm Shola. Solutions architect in London, and I build AI agents on my own time.
What I've shipped:
• ResumeRadar: free CV checker, 7,000+ scans
• WorkCrew: AI automation for UK small businesses, replacing WhatsApp and spreadsheet chaos with systems that run themselves
• A multi-agent customer-service sample with human handoff, published through AWS samples
Here I post what worked, what broke, and the evals that told me which was which.
Follow along if you build with Codex, Claude Code, Cursor or Grok Bot.
@omarsar0 The gap is that nobody tests what the agent decided to remember. on one-off tasks it doesn't matter, on domain work a wrong memory just keeps coming back
@ClaudeDevs Running a full app inside Claude changes what you need to test. Once app tools can act from inside the chat, the question isn't just whether the call works but what the model does when the tool returns something unexpected. How are permissions scoped per app tool?
@dabit3 I'd add a fourth: a clear point where it stops and asks. In my multi-agent sample, if routing confidence is low it asks the customer a clarifying question instead of guessing
Anthropic just announced Claude Fable 5.2 and Mythos 5.2 👀🔥
Exciting. But before I swap a new model into anything real, it goes through my own test cases first. The ugly ones. Wrong tool, vague question, someone asking for data they shouldn't see.
If it passes those, then it's an upgrade.
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.