- Process Masters
- Posts
- 🤖 From Prompts to Products
🤖 From Prompts to Products
DevDay turns users into builders, retail goes AI-first, and a new wave of enterprise collaboration.
Hello Process Master,
OpenAI’s DevDay made it official: anyone can now build AI agents from scratch.
Meanwhile, Adobe shows how AI already runs the checkout line, and Capgemini is training the next wave of enterprise builders.
One theme runs through it all: execution. We’re moving from “what AI can do” to “how fast we can make it work.” Whether in retail, research, or operations, systems that learn — and teach — are taking center stage.
Let’s break down what matters this week.
Pexels | Photo By: Kaboompics
🧠 OpenAI Just Made Everyone a Builder
DevDay 2025 is setting the pace for AI innovation. OpenAI unveiled what may be its biggest leap since ChatGPT’s debut — a new suite of tools that lets anyone build and deploy AI systems directly inside the platform.
The new Agent Builder and Apps SDK turn AI from a productivity tool into an operating layer. Founders can now prototype agentic software in hours, and professionals can start designing systems that handle their repetitive work.
The feedback loop of AI building AI is officially live.
🎁 AI Is Your New Personal Shopper
Adobe says U.S. shoppers are about to make history, with online holiday spending set to hit $253.4B — the first-ever quarter-trillion-dollar season. The surge is powered by AI and mobile: traffic from large language models is up 500%, and mobile will drive 56% of online sales.
Shoppers aren’t just browsing, they’re chatting. AI assistants and generative search tools are now recommending gifts, comparing prices, and shaping what people buy. On Thanksgiving Day, AI referrals are expected to spike nearly 730%, the biggest jump of the season.
As consumers lean on flexibility and personalization powered by AI, one thing’s clear: it’s not just helping people shop, it’s quietly becoming the backbone of modern retail.
🎙 The Process Masters Podcast with Amir Naderi
Missed this one? From red carpets to real workflows — Amir Naderi knows how to turn pressure into process. In this episode, he breaks down how automation, AI, and smart systems transformed chaos into consistency across thousands of clients.
🏗️ From Campus to C-Suite
Aston University and Capgemini have teamed up to launch a new Center of Excellence for Enterprise AI, designed to bridge the gap between cutting-edge research and real-world business transformation.
The goal: build an ecosystem that develops talent, scales responsible AI, and helps industries like finance and healthcare move faster from pilots to production. Nearly 70% of companies already call AI “critical” to their strategy, now it’s about execution.
As Capgemini puts it, the next phase of enterprise AI growth won’t come from new tools — it will come from stronger collaboration.
🔍 Smarter Training, Fewer Examples
Who says bigger is better? Chinese researchers just put that idea to the test. Their LIMI method (“Less Is More for Intelligent Agency”) trained AI agents on just 78 examples, and still outperformed models trained on tens of thousands.
On the AgencyBench test, LIMI scored 73.5%, beating top models like GLM-4.5 at 47%. Each example captured a full workflow — from problem discovery to final success — teaching the model how to think, not just predict.
Early results suggest data quality may rival data volume in building smarter AI agents. If proven at scale, it could point to a new path for developing smaller, more efficient models.
That’s a wrap. Just remember: the edge isn’t in ideas, it’s in implementation.
– The Process Masters Team