AI simulations for practicing negotiation, leadership, teamwork, and argumentation

Negotiate a job offer + get assessment feedback

(New: April 2026)

Practice negotiating a job offer with Remi, an AI hiring manager. Based on the classic multi-issue job negotiation exercise used in university business courses, this simulation gives you a realistic, low-stakes environment to develop and sharpen your negotiation skills.

TRY “JOB NEGOTIATION” SIMULATION

Designed for university students and professionals

Realistic AI counterpart — Remi evaluates your arguments, resists weak requests, and rewards smart package trades
Immediate feedback — a detailed report after each run shows your score, skill ratings across key skill dimensions, and specific coaching on what to do differently
Repeatable — each run is different; try multiple strategies and compare your results
Tracks both outcomes — your score AND the joint value created, teaching integrative negotiation, not just claiming value

How it works

Format — AI-driven chat simulation with a hiring manager
Typical duration — 20 minutes
Level — Upper-year undergrad, MBA, professional development
Use cases — Negotiation courses, leadership programs, career preparation

What you practice

Responding to an anchor — reacting strategically to the employer’s opening offer
Package trading — linking issues together to create value for both sides
Concession discipline — knowing when to hold firm and when to move
Reading your counterpart — inferring priorities from what Remi says and how hard they push

Current status — actively in development

The core simulation is live and has been tested with university students. Features currently in development include:

Further improvements to Remi’s realism and negotiation skill
Employer role — practice making the offer, not just receiving it
Live negotiation coach — real-time guidance as you negotiate, not just after the fact
Voice option — negotiate out loud, the way it happens in real life

Debate sim for Grade 7-8 students

(Dec 2025)

While most of our work focuses on skill assessment of adult learners – university students and professionals – we’re now experimenting with something new.

This is our first foray into formative feedback for young people. In this simulation, students are paired with Avery Reason, an AI debate coach who guides them through a structured debate experience, from picking a topic to receiving personalized feedback on their argumentation skills.

Try “DEBATE” simulation

Designed for the classroom

Safe environment — Built-in filters ensure conversations stay appropriate

Supportive, low-stakes practice — Students experiment with argumentation without fear of judgment

Formative feedback, not summative — The focus is on growth and skill-building, not grades

How it works

Format — AI-driven chat simulation with a friendly debate coach
Typical duration — 8-12 minutes
Level — Grade 7-8 (ages 12-14)
Use cases — English/Language Arts, Social Studies, critical thinking units, debate clubs

What students practice

Building arguments — giving clear reasons and real-life examples to support a position
Responding to counterpoints — engaging with opposing views respectfully
Thinking on their feet — adapting their argument as the conversation develops
Reflecting on performance — identifying what they did well and what to improve

Key features

Guided onboarding — Students pick a nickname, choose from age-appropriate debate topics, and select their side (FOR or AGAINST)
Adaptive AI opponent — Avery adjusts to student responses — encouraging elaboration, posing counterarguments, and keeping the conversation on track
Progress tracking — A visual progress bar shows students how far along they are in the debate
Achievement badges — Students earn badges like “Logic Legend,” “Evidence Explorer,” and “Respect Rocket” based on demonstrated skills
Personalized feedback — At the end, Avery provides specific feedback on what the student did well and offers a concrete tip for improvement
Teacher admin panel — Create assignments, customize topics, set time limits, and review student activity

Learn by practicing. Improve with feedback.