Elicit & AI Research Assistants

A practical course on evidence-grade AI research tools like Elicit. Learners run structured literature searches, extract findings across papers, and verify claims - research that stands up to scrutiny.

What this course covers

The course runs across 7 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Introduction to AI-Powered Literature Search — Explore how semantic search and language models transform academic literature discovery compared to traditional keyword-based databases.
Executing Structured Literature Searches in Elicit — Learn to formulate effective research queries, apply search filters, and find high-quality papers matching specific scientific questions.
Automated Evidence Extraction across Papers — Practice setting up custom metadata columns to automatically extract methodologies, populations, and outcomes from a batch of papers.
Verifying Claims and Fact-Checking AI Summaries — Master the verification workflow by comparing Elicit's summaries directly against the source text to ensure complete accuracy and prevent hallucinations.
Designing Systematic and Reproducible Workflows — Establish a step-by-step pipeline for importing your own PDFs, organizing search history, and exporting findings to citation managers.
Scenario-Based Decision Exercise: Resolving Conflicting Evidence — Navigate a realistic research scenario where you must evaluate conflicting paper findings and make methodological decisions to resolve them.
Hands-On Lab: Conducting an End-to-End Synthesis — Apply the complete workflow—from initial search and extraction to verification—to generate a reliable, evidence-grade research brief.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Researchers, analysts, R&D. The material is pitched at beginner level, and takes roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: AI Research track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

Research with AI Pathway — Run fast, trustworthy, source-grounded research with AI.

Frequently asked questions

How long does this course take?

It runs roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-ELC-101.