Laurent Duplat
Editor in Chief — Trustly-AI
Who I Am
I run Trustly-AI, an independent editorial platform about practical AI workflows, digital products and business operations. My work across several public projects gives me direct exposure to content systems, automation, lead handling and search operations.
Direct experience is identified as such. External claims are linked to inspectable sources. When a statement cannot be verified or reproduced, it is treated as editorial judgment rather than fact.
What I Cover
- Practical AI business systems
- AI agents for business workflows
- Marketing automation with human review
- Researching and distributing prompt products
- B2B AI content strategy
- Content quality and consolidation
Public Project References
These sites are inspectable examples of the subjects covered on Trustly-AI. Their inclusion proves that the project exists; it does not imply a specific commercial result.
Vocalis
Public site focused on AI voice agents and business call handling.
Vocalis Blog
Editorial publication about voice agents and conversational AI.
Tesla-Mag.ch
Swiss digital magazine covering Tesla and AI-related news.
Master-Seller
French-language site about commercial development for AI services.
IA PME Suisse
Swiss site covering AI adoption for small and medium businesses.
SEO-True
Public site about SEO methods and audit work.
Editorial Method
How articles are produced
Each guide starts with a defined reader and decision. Research may combine primary documentation, public data and direct operational experience. AI may help organise notes or test an outline, but the named editor remains responsible for the argument, source checks and final wording.
How claims are verified
Regulatory, product and statistical claims should link to the original source when available. Direct observations are labelled clearly. Unsupported outcomes, anonymous statistics and invented case studies are not acceptable. Readers can report a correction through the contact page.
How commercial relationships are disclosed
Commercial relationships and affiliate links, when present, are disclosed where a reader encounters them. A relationship must not determine the conclusion or replace evidence.
How pages are reviewed
Pillar guides carry a visible review date and a dateModified field. A product change, regulatory update, broken source or material reader correction triggers a new review.
Contact
Email: contact@trustly-ai.com
Company: Trustly-AI (Companies House No. 16952492)
Address: 128 City Road, London EC1V 2NX, United Kingdom