🚨 ANNOUNCING: @OpenAIDevs DevDay Exchange Community Meetup | Toronto 🇨🇦 what: Frontier Demo's. Walkthroughs. Meet other builders...and more 😉 when: Oct 7: 5:30-9 PM ET RSVP: luma.com/el6qqrge where: tbd We have no idea what they're going to announce but we know it will be at the frontier. brought to you by @buildfutureto #DevDayCommunity

my dot is cooking

such an Instinct fan and not loving that sites are starting to block it and likely other agents

dots. An always-on agent with its own cloud computer and access to your plugins and context. Powered by GPT-6 Astra, your dot proactively keeps your projects moving. Here’s what developers can hand off to their dot: – Triage recurring bug reports and feature requests across your connected apps. – Scope failing builds and feature improvements around your priorities. – Build and test changes with Codex, then bring back complete PRs for your review. Open your dot’s cloud computer to inspect the work, or connect your own so it can work with your local files and code.

What if the best frontier model in the world powered a product like this. Wouldn’t that be incredible? 😏

This is what I'm seeing right now from over 50 AI projects at Lazer across commerce, fintech, healthcare, and SaaS enterprises 1. Fast growing AI platforms are still short on forward deployed engineering to convert customers, get them live fast, and feed learnings back to product... As they go self-serve, FDE role shifts closer to a strategist, and partner networks are filling the gap, but execution quality is still an issue 2. Most enterprises' main problem is just getting enabled and getting AI structured inside the org so everyone can cook... Tooling, governance, config, and education come before automating workflows 3. Orgs care about cost, but it's two ends of a spectrum: "just use it, we'll optimize later" or "show us ROI before we do anything" 4. Getting data out of people's heads and into a system AI can access is one of the hardest problems... It's not a one-shot fix, and requires orgs to change how they operate 5. Some orgs would rather build than buy, because they're unsure what changes in 3 months and want to avoid lock-in 6. Governance hubs are a real need now... Employees are using personal Claude/OpenAI accounts with company data, and financial and healthcare orgs won't move without a governed layer 7. Data readiness gates everything... Many companies need 2 to 4 months of foundational work before any application layer 8. PEs are moving fast because AI directly improves the P&L... That's why CX agents land so well... clean ROI, straight-line cost reduction, and off-hours revenue capture 9. AI SDLC and the software factory is our most popular project 10. Demand for private AI and data sovereignty is real, driven by IP, PCI/PHI, and cost at scale... "Who owns the intelligence" is a common question now 11. Data center buildout is an emerging area... Agentic software compresses spin-up, and the faster a data center launches, the more revenue 12. There are still so many non-AI problems to solve inside enterprises, easy to forget Going to share more learnings over time, been too busy heads down building