AI Strategy - Proto Typing Too

A coffee-stained napkin reading “Important Project Rule: Do Not Change” sits atop an organized filing cabinet labeled for permanent project information.

The AI Forgot My Instructions.

AI may not have forgotten your instructions. They may be stored in the wrong place. Why persistent project rules need more than a conversation to survive.

A multigenerational software team combines an experienced architect’s blueprint with fresh ideas to build a glowing digital bridge together.

Brian Pollack

Great Software Teams Need Both Experience and Fresh Energy

by Brian Pollack If you needed to build a wall, would you hire a young go-getter with lots of energy and muscles or a wise mason with 30 years of experience? Honestly, you need both. Tech teams especially need a mix of senior developers and leads who have seen all

AI model variants pass through evaluation gates, with the strongest version selected to continue an automated cycle of recursive improvement.

Brian Pollack

AI Models Are Improving Themselves—and the Pace Is Accelerating

by Brian Pollack There is a new model every other day, and there is a reason the pace keeps picking up. The models are now improving themselves. The industry term is RSI, or recursive self-improvement. Google has been the loudest about it, but every major lab is running some version

Blue, a small robot, skips across stepping stones while pieces of conversation context disappear beneath the stream.

Your AI Doesn't Experience the Time Between Your Questions

Illustration of how ChatGPT and generative AI process conversations as successive interactions rather than experiencing continuous time, using stepping stones and a river of lost context to explain AI context loss and conversational memory.

An AI team watches a glowing prototype pause at a gap before production, with five readiness checkpoints above the stalled launch pipeline.

White Paper

Your AI project worked in the demo. So why didn't it launch?

by Prateek Sharma, AI Engineer Almost every AI trial we see does what it promised in the meeting room. Most still never reach a real customer. The gap is rarely the technology — it's five things nobody scoped at the start. Download a pdf of this white paperProtovate_Why_

Cluttered engineering workbench covered with tools, coffee cups, schematics and wires, with a partially buried wrench highlighted by a subtle blue glow.

The AI Didn't Forget.

AI doesn’t always forget instructions. Sometimes the context window gets overloaded. Two very different AI workflows reveal the same problem - and why managing context matters.

AI chip connected to customer service, data processing, workflow automation, and follow-up processes, promoting a free 30-minute AI consultation.

AI Lab

You Know AI Matters. But Where Does It Actually Pay Off?

by Brian Pollack After 30 years of building software for healthcare, telecom, and many enterprise companies, I've pointed Protovate at one thing: AI software development. Custom software with AI doing the actual work inside it. Not chatbots. The unglamorous stuff. Recently we automated customer service requests and followup