OpenAI DevDay was cool, but we’re still skipping the hype, except for MCP Servers 😉 The practical move is unchanged: run a 30‑day experiment. Pick one customer journey, ship one AI agent/app to support it, and measure one metric (conversion or first‑response time). Everything below is in tune to what shipped.
What actually shipped (highlights)
- ChatGPT Apps + SDK — lightweight apps that run inside ChatGPT with an app directory and consent prompts for data connections, think AppStore.
- AgentKit — a streamlined way to build task‑based agents/workflows that call tools (perfect for intake, scheduling, quoting, FAQs).
- Commerce & Enterprise controls — in‑chat purchase flows plus clearer admin controls for permissions and data sharing.
- Other signals to watch — Multimodal & video (Sora‑era) for ads/content, Voice & call routing for CX, Search/Browser tie‑ins for lead gen/SEO ops, Workspace/Admin controls, and Safety/IP guardrails for brand protection.
Who this is for
Owners, marketing leads, and ops folks at SMBs who want practical outcomes—not another “AI is the future” think piece. If you measure success in leads, bookings, orders, and response times, this is your field guide.
Why this matters right now
AI capability jumps tend to land in three buckets that affect your business today:
- Smarter assistants (“agents”) that can follow multi‑step workflows.
- Richer inputs (voice, image, video, files) that reduce friction in support and sales.
- Better admin controls (workspaces, permissions, data settings) so adoption doesn’t get messy.
Whether you run a service company, a local storefront, or a DTC shop, those three buckets map directly to speed (response time), revenue (conversion), and risk (brand/IP and data handling).
30-day action plan
The point isn’t to boil the ocean—it’s to prove lift and standardize what works. If your agent beats the control on your primary metric for two straight weeks, roll it to 100% and move to the next journey. Keep a tiny dashboard with conversion, time-to-first-response, % resolved by AI, and escalations per x number of chats so decisions stay objective, not vibes-based.
If you’re curious, I’ve got a simple playbook + templates (agent brief, 1-page AI policy, & test ideas).
Not sure if it fits? Book a discovery call and we will figure it out together.
