Features
The complete capability catalog.
Everything HuskyBot is being built to do — organized by category. This roadmap reflects the v1.0 launch target.
Library Access
Connect to SCSU library resources directly.
Library catalog search
Find books, journals, and media in the SCSU collection.
Database recommendations
Pointed to the right database for your specific research question.
Research guide integration
Surface relevant LibGuides and subject-specific resources.
24/7 reference Q&A
Hours, locations, services, policies — instant answers anytime.
Saved sessions
Pick up where you left off with conversation history (when signed in).
Research & Writing
A research-paper assistant that meets academic standards.
Outline & structure suggestions
Build essay scaffolds with intro, thesis, body, and conclusion templates.
Drafting assistance
Expand outlines into prose with academic tone — you keep editorial control.
Literature review support
Cluster sources, identify themes, and find research gaps.
Academic tone & grammar checking
Refine awkward phrasing while preserving your voice.
Plagiarism-aware paraphrasing
Reword passages with attribution prompts — not a circumvention tool.
Citations
Citation generation grounded in real sources — no hallucinated references.
APA citation generation
7th edition format, in-text and reference list.
MLA citation generation
9th edition format for humanities.
Chicago citation generation
Author-date and notes-bibliography styles.
IEEE citation generation
Numbered citation style for STEM.
Source verification
Citations grounded in retrieved documents — not invented.
Search & Discovery
Find what you need across academic data sources.
Semantic search
Search by meaning, not just keywords.
ArXiv integration
Surface STEM preprints from arXiv.org bulk data.
Semantic Scholar / S2ORC
Multidisciplinary access to ~50–100M full-text papers.
PubMed Central
Biomedical and life sciences open-access subset.
OpenAlex metadata
Citation networks and scholarly metadata under CC0.
Privacy & Trust
Built with academic integrity and student privacy at the center.
On-campus hosting
Conversations stay on SCSU infrastructure — not third-party servers.
Academic-integrity aware
Designed to support learning, not replace it. Discloses AI-generated content.
No data harvesting
Your prompts are not used to train someone else’s commercial model.
Anonymous analytics
Aggregated usage patterns help improve the tool — never tied to individuals.
Open & Portable
Open source, self-hostable, and free of vendor lock-in.
Open source codebase
Fully auditable. Inspect, fork, contribute back.
Downloadable model (GGUF)
Run HuskyBot offline with Ollama or llama.cpp.
Web app + library embed
Use HuskyBot via the SCSU library site or as a standalone web app.
Hugging Face format
Compatible with the standard ML ecosystem.
API endpoint
Programmatic access for integrations and research workflows.
Roadmap, not promises.
These are the features we are building toward v1.0 launch. Want to see how we are getting there?