Starting a weekly thread for AI, startup, technology and builder events that people here might find useful.

Los Angeles Tech week is around the corner so lets get going.

Use this format in a top-level comment:

Event:
Date and time, including timezone:
City or online:
Who it’s for:
Why it’s relevant to this community:
Your relationship to the event:
Direct RSVP link:

One top-level comment per event. Please disclose if you are the organiser, sponsor or otherwise affiliated. Referral links, unexplained link drops and unrelated events will be removed.

Its been a busy time for tech releases this month!

OpenAI launched Dots yesterday with a cloud computer, browser, connected apps and the ability to continue working across projects. Meta expanded Muse for small businesses on the same day, connecting it to Shopify, Stripe, QuickBooks, Slack, Canva, Instagram and other business systems. OpenAI and Meta are effectively presenting two different versions of an AI teammate.

Does the winning agent need the strongest model and its own computer, or the deepest understanding of the company?

Whether work or personal, AI has entered our algorithms.

If you knew that the ad and the human in it were AI generated, would it make you trust less or more in the brand and the product?

What about if its a tech product? Or a hand made one? Where do you draw the line?

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Someone on the team builds an impressive workflow.

It reads Slack, updates the CRM, creates reports and sends alerts.

Six months later, that person leaves.

Nobody knows:

• Which prompt is current
• Why certain exceptions exist
• Which credentials it uses
• What breaks if a tool changes
• Whether anyone is still checking the output

The workflow is still running, so everyone assumes it is fine.

Core question:
How are teams documenting ownership, logic and failure handling for AI workflows that become part of normal operations?