Demos

CoderCards.ai is a new application that analyzes a user's GitHub activity to generate insights into their coding habits and practices. This application grew out of Neon AI's ongoing research into aligning LLM-generated code more closely with the personal styles of individual human code writers.

This human-AI collaborative tool:

1. Analyzes a document, identifying assertions made within it and rating them on a scale from checkable facts to pure opinions.

2. Searches for supporting or contradicting references to assertions made in that document within a chosen set of source documents.

3. Provides a report for human review and revision.

4. Produces a polished document detailing all of the findings of the AI and human reviewers, formatted and ready for use. For example, a rejection of an appeal against a judgement, a letter to the editor detailing issues with an article, a rejection of an article submitted for publication, or a company safety guidelines document draft returned with recommended revisions.

Get practical guidance on threats, compliance, incident response, architecture, and career growth from a panel of cybersecurity-focused AI advisors — each bringing a distinct lens to your questions.

AI discuss and answer questions collaboratively, coming up with better answers than any single AI. Powered by any mix of AI, from Neon.ai's custom models to the "big box" systems - and even including humans "in the loop".

Cybersecurity expert Jerry Huaute, CISSP, collaborated with Neon.ai to create this expert persona to act as a cybersecurity Q&A resource.

See how responses from our custom fine-tuned models compare to responses from a wide variety of other models.

Personalized guidance on academics, career planning, campus life, and more from a diverse panel of AI advisors