Mike Fishbein
@mfishbein • 8,502 subscribers
Founder at Atherial // AI strategy and engineering. We're your forward deployed engineering team.
Videos
OpenAI’s “The Deployment Company” is stealing clients’ IP and selling it to their competitors. This used to be a conspiracy theory. It’s not anymore. Watch this clip of OpenAI’s Head of Forward Deployed Engineering (speaking at South Park Commons). He says it directly: FDE service revenue doesn’t matter to OpenAI. Only Recurring Revenue from product does. To turn FDE engagement into product, OpenAI needs three things: 1. Subject matter expertise 2. Context to train on 3. Engineering And clients are paying OpenAI for them to get all three. OpenAI’s FDE clients don’t matter to them. They’re just a data source. Indie FDE agencies, on the other hand, obsess over clients because that is their business model. There isn’t a backend offer. Indie FDE agencies make money from happy clients. The Deployment Company makes money when shoplift clients’ data. Incentives matter. Hire Indie FDEs.
Mike Fishbein57,336 görüntüleme • 1 ay önce
We've built 40+ AI agents and internal tools. The hardest part is Context Creation. AI runs playbooks and makes judgment calls for you. But without your company's context, you get slop. Context Creation means extracting the subject matter expertise and playbooks that live in people's heads, not in LLM training data, or even your tools. As forward deployed engineers (FDEs), we create context and turn it into code. We evaluate the business impact, how it aligns with the dev roadmap, and come up with creative solutions. We built The FDE Factory to replace ourselves. It drives AI adoption inside our clients' companies by running discovery sessions using prototypes to create context. Here's how it works: We put a prototype in front of a stakeholder. The stakeholder gives feedback via voice while they're using or reviewing it. Then our FDE Factory Agents builds in their expertise in minutes: > Context Agent reviews the codebase and feedback, extracts the requirements, and creates a spec > Scope Agent checks the spec against the development roadmap, validates it, and hands it off > Engineering Agent builds a new feature and wires the integration > QA Agent runs tests to prove to itself it works > PR merges, feature goes live, product updates itself in real time It's like the nontechnical stakeholder wrote the code without even knowing it. Coding agents are great at turning good development plans into code, and they're getting better at turning context into good development plans in collaboration with professional engineers. But nontechnical people are capped on what they can build without product people and engineers. The bridge that takes nontechnical people from vibe coding basic apps to building production AI tools that run on first party context is FDEs. Our new FDE Factory gives you the system to go from idea to production. Context Creation is the first and most important step in our FDE lifecycle, and we just automated it. Now clients get the right agents and tools built for them, customized to their unique business and encoded with their expertise. PS: If you're building AI agents within your company, reply "Playbook" and I'll DM you the entire FDE playbook we've run with 30+ companies. It covers finding high-impact AI use cases, building them, and deploying them across the org.
Mike Fishbein10,101 görüntüleme • 1 ay önce
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