Research for editorial deliverables

How to turn a research file into editorial deliverables without losing the sources?

  • Perplexity
  • NotebookLM
  • ChatGPT

1960 € per session, excl. VAT

In short

Produce reliable and varied content from your research. This course teaches a structured workflow to convert a research corpus into articles, newsletters, and presentations. You will learn to use specialized AI tools for each stage, from source collection to final drafting, while maintaining complete source traceability.

Why this training?

Turning in-depth research into engaging content like articles and newsletters is a major challenge. The process is often manual, time-consuming, and the risk of losing the link to original sources is high, which can undermine credibility. This course addresses this by establishing a structured, AI-assisted workflow where every claim remains connected to its source. You will learn to use a chain of complementary tools to efficiently move from information gathering to the production of multiple editorial deliverables, all while maintaining rigorous end-to-end traceability. The course is centered on the practical application of a complete workflow. Starting from a research file, you will use Perplexity for collection, NotebookLM for organization, and ChatGPT for writing. Each module concludes with a concrete output (corpus, article draft, newsletter), building a set of coherent and sourced deliverables step-by-step, simulating a real A-to-Z editorial project. Deliverables: Sourced blog post; Thematic newsletter; Presentation slide deck. The effectiveness of this workflow depends on each tool's features, which may evolve or vary with your subscription plan. The course focuses on the method, not exhaustive mastery of each platform. The quality of the output remains dependent on human judgment. The workshop is delivered in person as a private session for up to 12 participants, in one language chosen from French, Dutch and English. All exercise data is fictional or anonymised, and every result produced with AI is reviewed and validated by a responsible person. The aim is a bounded result the team can reuse, not a promise of deployment.

Objectives of this training

  • Structure documentary research with a source-grounded AI tool.
  • Organize a research corpus in a source-grounded notebook.
  • Draft different formats (article, newsletter, slides) with a writing assistant.
  • Maintain source traceability throughout the entire creation process.
  • Apply a coherent workflow between Perplexity, NotebookLM, and ChatGPT.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Communication Managers
  • Analysts and Researchers
  • Content Writers and Copywriters

Prior skills

  • Participants must have completed our 'AI Fundamentals' and 'AI Prompting' courses or have equivalent experience. A paid subscription to Perplexity, NotebookLM, and ChatGPT, offering the features used in the exercises, is required. Your organization's authorization to use these third-party tools is essential, along with the actual accounts and access rights. Exercises use fictional or anonymized data.

What you will work on

  1. Source Collection and Curation

    Defining the research scope Using Perplexity to aggregate sourced information

  2. Corpus Structuring with NotebookLM

    Importing and organizing sources Creating a source guide and a glossary

  3. AI-Assisted Writing: The Article

    Generating an article outline based on the corpus Writing the sections with ChatGPT, grounded in the sources

  4. Content Repurposing

    Adapting the tone and format for a newsletter Synthesizing key points for slides

  5. Validation and Source Registry

    Verifying the correspondence between claims and sources Consolidating the final source register

What you take away

  • Sourced blog post
  • Thematic newsletter
  • Presentation slide deck

Method and assessment

  • Private in-person session
  • Hands-on workshops on concrete use cases
  • Group limited to 12 participants for personalized support

Continuous assessment through the completion of practical exercises and the production of final deliverables.

Frequently asked questions

What concrete result does this course deliver?

You will learn to industrialize the creation of varied and reliable content from a single research base, ensuring perfect source traceability. Deliverables: sourced blog post, thematic newsletter, presentation slide deck.

Who is this course for and what are the prerequisites?

It is designed for: communication managers, analysts and researchers, content writers and copywriters. Participants must have completed our 'AI Fundamentals' and 'AI Prompting' courses or have equivalent experience. A paid subscription to Perplexity, NotebookLM, and ChatGPT, offering the features used in the exercises, is required. Your organization's authorization to use these third-party tools is essential, along with the actual accounts and access rights. Exercises use fictional or anonymized data.

What data and access need to be arranged?

Please prepare access to your corporate accounts for the selected AI tools before the session begins. Required tools and licences are checked before the session; no subscription is included in the price.

What practical exercise is completed?

The course is centered on the practical application of a complete workflow. Starting from a research file, you will use Perplexity for collection, NotebookLM for organization, and ChatGPT for writing. Each module concludes with a concrete output (corpus, article draft, newsletter), building a set of coherent and sourced deliverables step-by-step, simulating a real A-to-Z editorial project.

What are the limits and who validates the results?

The effectiveness of this workflow depends on each tool's features, which may evolve or vary with your subscription plan. The course focuses on the method, not exhaustive mastery of each platform. The quality of the output remains dependent on human judgment.

Can the course be adapted to our line of work?

The tools presented (Perplexity, NotebookLM, ChatGPT) are examples. During a pre-session scoping phase, we validate with you the most relevant and accessible tools within your organization to adapt the exercises accordingly.

How is the session organised and what does it cost?

Full day, private in-person session for up to 12 participants. The fee is €1,960 excluding VAT per session. Date and location are agreed during scoping; each session runs in a single language: French, Dutch or English.

Related courses

Last updated: