To FDE, or not to FDE?
Long-form article published on **X** on **August 11, 2026** by **Jesse Zhang**, CEO of **Decagon** (customer-service AI agents), under a dilemma-shaped title — *« To FDE, or not to FDE? »* — devoted to the **Forward Deployed Engineer**, which has become *« the answer to almost every hard question in AI go-to-market »*. Starting observation: Anthropic and OpenAI have built enterprise deployment arms explicitly modeled on Palantir, *« every seed-stage company »* advertises an FDE offering, and job postings for the title are said to be up several hundred percent in a year. **(A) The Palantir genealogy** supplies the framework: **Shyam Sankar**'s (CTO) formula, *« FDEs eat pain and excrete product »*, and **Joe Lonsdale**'s reminder that Palantir spent nearly two decades being called a *« glorified consultancy »* on the basis of an accurate observation. **Gotham**'s bespoke deployments (CIA, NSA, military intelligence) were encoded into platform primitives — ontology, object models, permissions, workflow engines, provenance tracing — which became **Foundry**, then Apollo and AIP; standardization pushed gross margin into the 80% range and Palantir moved from an FDE motion to account-based selling, with many FDEs migrating into core engineering. *« The pain was the input to the product, not a cost of sale. »* **(B) The criterion proposed** is not to give up on FDEs but to know when to stop: go early, then ask whether one is still **discovering** — *« The trap is not starting. It's not stopping. »* **(C) A distinction few make: FDE ≠ implementation.** *« Building that integration into their ticketing system »* is real work, but it is execution against a known spec, not discovery of an unknown one; conflating the two *« is how a company convinces itself that a growing services org is a product investment »*. Closing line: *« If your FDEs are eating pain and excreting more pain, you don't have an FDE team. You have a services business. »* Two figures are put forward about Decagon — *« two-thirds of deployment work is now done autonomously via Duet »* and *« a few days on average to launch the first AOP, even for large banks, airlines, telcos »* — without the "deployment work" denominator being defined or the AOP acronym spelled out.
**Jesse Zhang** — cofondateur et **CEO de Decagon** (agents IA de service client, San Francisco) · 85 000 abonnés sur X · site personnel `jessezhang.org`. Il cite son cofondateur **Ashwin Sreenivas** · **ex-Palantir** · d'où la profondeur du récit Palantir. Publié le **11 août 2026**.