AI Team Studio Open the studio
Built by researchers · One participant, three AI teammates

Put your participants in a real team — with AI teammates.

You script the team's conversation in advance. Three AI teammates play it back on schedule while one real participant joins in as a fourth member. Whenever the participant types, a backstage model — the director — rewrites the bots' upcoming messages so the team responds to what was actually said. Same manipulation for every participant, a real conversation for each.

Works with + your university's gateway · keys stay on the server
Team chat · 4 members 12:41
Same script for every run
Director rewrote 11 messages
conversationID captured
What you get

A team that behaves. Every single session.

For researchers in management, psychology and organizational behavior who need team interactions that are comparable across participants: you define what the team says and when, the studio keeps it identical across sessions — and handles the one thing you cannot script, your participant.

0:05
+7 s
0:12
+19 s · typing shows at 0:24
0:31

Scripted to the second

Every message has a sender, a timestamp and a typing window — you design the exact rhythm: quick replies, long silences, slow typers. Every participant in a condition sees the identical conversation, so timing never becomes a confound.

bot2 · "yeah exactly, coworking spaces" bot2 · "good point — a gym corner could work"

A director that adapts the script — without breaking it

When the participant sends a message, the director rewrites the bots' not-yet-sent messages so they answer it directly. It follows your written brief — task, personalities, condition — and never appears in the chat itself. Participants feel heard; your protocol stays intact.

B G R + Y

Three AI teammates + your participant

The chat has four members. Blue, Green and Red are the bots that play your script; the participant always joins as Yellow. Everyone appears as a color only — no names, photos, or gender cues that could confound how the team is perceived.

"Make the team respond faster and more casually" ✓ Script updated — 14 messages changed

Edit the script by hand — or tell the AI what to change

The script is a list of messages: sender, text, timing. Edit it row by row in the visual editor or as JSON. Next to the editor sits a chat assistant: type "make Green more skeptical" and it rewrites the affected messages in front of you, with an undo for every change.

Session timer · 10 min Ready-check modal

Session flow under your control

Ready-check modal, "teammates are joining…" countdown, task instructions and a session timer are per-project toggles. Reproduce your study flow exactly — say, 8 seconds of waiting, 10 minutes of chat, then back to the survey.

CSVPDFZIP · TEST runs filterable

Data ready for analysis

Every message is stored with millisecond timestamps, sender role and conversation ID. Export CSV for R or SPSS, rendered PDF transcripts for the appendix, or one ZIP with everything — TEST sessions stay tagged, so pilot runs never mix with real data.

The director

One loop makes the team feel human.

A fixed script feels robotic the moment a participant types — so a second model, the director, manages the team backstage. It never writes to the participant itself. Its only job: rewrite what the bots are about to say, following the brief you give it — the task, each teammate's personality, your experimental condition. One full cycle:

1

The script plays

Blue, Green and Red send their messages exactly when you scheduled them — typing indicators first, then the message.

2

Your participant speaks

Yellow contributes an idea, an objection, a question — something no fixed script could answer.

3

The director rewrites the script

Chat so far, remaining script and your brief go to the model — back comes the rest of the conversation, rewritten to answer Yellow. Personalities and pacing stay as defined.

"anyway, as I was saying…" "good idea — let's build on that"
4

The chat updates — invisibly

The rewritten messages replace the old ones mid-conversation. No pause, nothing to notice: the next teammate simply types a reply that fits.

5

One seamless conversation

To the participant it is a single natural team chat. To you, a session that followed the protocol — comparable across your whole sample.

Steps 2–5 repeat at every participant message — as often as they join in.
How it works

From idea to live study in four steps.

Everything runs in the browser — for you and your participants, nothing to install. New accounts include a small demo project: open it, run a test chat, then reshape it into your study.

1

Create a project

A project is one study cell: its own script, director brief, model and links. ID and password are generated for you; an optional account keeps them across devices.

Project IDOptional accountDemo included
2

Write the script

Lay out who says what, when, with how much typing. Start from the demo script and adapt it — or let the AI assistant draft one from your task description.

Visual editorAI assistantTyping & timing
3

Brief the director

Write the director's instructions: the task, each teammate's personality, your condition (e.g. high vs. low psychological safety). Pick provider and model; keys stay on the server.

Any providerThinking effortPer-project keys
4

Go live & review

Put the participant link in Qualtrics with a piped conversationID, pilot in TEST mode, watch sessions arrive on the review page — and export when you're done.

TEST modeReview linkCSV · PDF · ZIP
Qualtrics / Prolific piped conversationID AI Team chat one participant + three AI teammates Back to your survey chat joined to the response
The AI assistant

Type what should change. Watch the script rewrite itself.

A chat assistant sits next to the script editor — and next to the director instructions. You type an instruction, it rewrites the affected messages directly in the editor, then lists what it changed. Every change has an undo.

Conversation script Visual editorJSON AI Assistant
AI Assistant edits this conversation script
×
Include director instructions i
⚡ Respond faster 🙂 More human 🎭 More distinct tones
Ask for changes to the script…
gpt-5.6 medium context 12%
Who built it

By team researchers, for team researchers.

Marc Becker

Marc Becker

Maastricht University

Stefan Berger

Stefan Berger

University of Groningen

Roman Briker

Roman Briker

Maastricht University

Manuel Vaulont

Manuel Vaulont

Northeastern University

Cite it

Using AI Team Studio in your research?

Please cite the tool in your publications:

Becker, M., Berger, S., Briker, R., & Vaulont, M. (2026). AI Team Studio: Controlled team interactions with AI teammates for behavioral research [Computer software].
Ready when you are

Give your participants a team today.

Create a project, script a conversation, run a test chat — your first working session takes minutes, not days.

Open the studio