Concrete methods for applying artificial intelligence to engineering work. Every method follows the same principle: the model proposes, code verifies, the engineer decides.
fasterengineering is a resource published by Syntelier that documents methods for applying artificial intelligence to engineering-office work. Each published method addresses a specific documentation task — compiling a compliance package (CE, ATEX, IMDS, PPAP), writing a traceable regulatory summary, scoping and quoting an RFQ, qualifying a small or mid-sized supplier — under one constant principle: the model proposes, deterministic code verifies, the engineer decides. The brand is run by Alexandre Tobie, an engineer with ten years in engineering offices and systems integration.
Automate repetitive documentation and regulatory writing, without ever taking the decision away from the engineer.
Quote, scope, and qualify faster to respond to more opportunities on better foundations.
Trace decisions and changes to protect what is owed and defend claims.
Automate the gathering of supplier certificates and completeness checks, under engineer control.
Generate a structured summary (OECD-style, clinical file) where every value stays verified and tied back to its source.
Extract requirements, retrieve internal precedents, prepare a technical response in a fraction of the time.
Industrialize document matching to shorten a qualification cycle that today drags on for months.
fasterengineering is a resource published by Syntelier that documents concrete methods for applying artificial intelligence to engineering-office work. It covers documentation, pre-sales and traceability, without handing technical decisions over to the model.
Engineering offices, engineers, integrators and industrial OEMs facing a heavy documentation and regulatory workload: CE, ATEX, IMDS, PPAP compliance, RFQs, and supplier qualification.
No. The guiding principle is "the model proposes, code verifies, the engineer decides": the AI prepares and gathers, deterministic code checks objective rules, and the engineer keeps the final judgment and responsibility.
Repetitive, verifiable documentation tasks: compiling compliance packages, writing traceable regulatory summaries, extracting requirements and quoting RFQs, and document-based qualification of suppliers.
It is the reliability architecture shared by every method: the language model generates a proposal, deterministic code verifies objective rules (presence of mandatory documents, reference consistency, link to source), and the engineer arbitrates the uncovered cases. This separation of roles keeps the result auditable.