TOOLS FOR COLLEGIATE HACKATHONS

Build a prototype
with more purpose.

Bring data, language, and practical AI tools into the same student build. TuluAI products can support parts of the journey, from exploring a dataset to sharing a grounded assistant.

Explore the toolkit Developer resources

Use only the tools that fit your challenge. No single stack is required.

A TOOLKIT, NOT A REQUIRED STACK

Choose the pieces your team needs.

Existing TuluAI products cover different parts of a build. Check each product for current access, capabilities, and limitations.

01DATA & EXPERIMENTS

Gena

Find datasets, shape a small collection in the spreadsheet, or explore notebook workflows for an experiment.

Explore Gena
02GROUNDED ASSISTANTS

Kenle

Build an assistant around selected source material, such as a website, video, or uploaded files.

Explore Kenle
03MULTILINGUAL CONVERSATION

Patherle

Explore conversational AI and test how a project experience works for people using different languages.

Explore Patherle
04TASK WORKFLOWS

Malple

Connect selected services and ask Malple to help carry out clear tasks. Review permissions and results carefully.

Explore Malple
05TRUST & SAFETY

Nambike

Use trust and safety checks as prompts for further review, not as definitive proof about a claim or media source.

Explore Nambike
06BUILD & INTEGRATE

Developer resources

Find documentation, API access information, and examples for building with the platform.

Build with TuluAI

A SIMPLE BUILD PATH

From an idea to a thoughtful demo.

A short sequence can help teams keep the scope clear and make their work easier to evaluate.

  1. 01

    Choose a real problem

    Start with a specific person, task, or community need your team can understand.

  2. 02

    Find and prepare sources

    Use material your team has permission to use, and keep its origin and limits visible.

  3. 03

    Build a focused prototype

    Connect the smallest useful set of data, product features, and integrations.

  4. 04

    Test and explain it

    Try realistic cases, note what fails, and make the prototype’s limits clear.

FOR ORGANIZERS

Set teams up to build responsibly.

Make source permissions, account access, network availability, and compute expectations clear before the event. Encourage teams to test outputs with real examples and explain what their prototypes cannot yet do.

View all products Read the docs

Product capabilities and availability can vary. Trust checks are decision support, not proof; model outputs should be independently reviewed.