3. PathwayAI: A Role‑based, Real‑time AI Workspace for Admissions
25 Summer. Solo Developed.
Click the image below to access: (https://path-way.io)
- PathwayAI"
Where stories find their voice.
"
Pathway AI — Collaborative AI Workspace for Admissions
Role‑based, real‑time AI studio where students, mentors, counselors, and family plan, write, and refine college applications together—especially for students who can’t afford admissions agencies or don’t know which majors/programs/schools fit their goals.
Elevator pitch
Pathway AI fuses collaboration with AI drafting, research, and program discovery. It’s cloud‑native, fast, and affordable by design: stable editing, structured feedback, and smart guidance that helps you figure out what to study and where to apply—without paying an agency.
Who it’s for
- Students who can’t afford admissions consulting but still want expert‑level structure and feedback
- Anyone unsure which majors/programs/schools match their interests, budget, and constraints
- Mentors/counselors/family who want to support students asynchronously in one shared place
- Teams that want real‑time presence and AI support with zero technical setup
Access and affordability (mission)
- Agency‑grade support without the agency price: AI copilots compress expert guidance into an accessible workflow
- Free, cloud‑based onboarding: invite supporters instantly; no local setup or paywalls to start
- Discovery‑first: tools help you figure out your fit (major/program/school) before you start writing
- Aid‑aware suggestions: surface fee waivers, scholarships, test‑optional policies, and value metrics early
Discovery and matching (solve “What should I study? Where should I apply?”)
- Fit Finder: interest + constraint intake (interests, budget, location, outcomes) -> suggested majors/programs/schools with rationale
- Source‑aware research: Perplexity (sonar) + curated sources expose current admission requirements, deadlines, and program strengths
- Aid & affordability filters: tuition bands, scholarship signals, in‑state/out‑of‑state differences, cost‑of‑living hints
- Portfolio alignment: map your activities/essays to program expectations so effort goes where it matters
Feature highlights
- Collaboration and presence
- Multi‑role spaces (student, mentor, counselor, family) with clear permissions
- Google Docs–style comments: reply, resolve, mentions; consistent glass‑UI cards
- Designed for live cursors, conflict resolution, and offline sync
- Invite collaborators via centered frosted‑glass modal with emoji role types
- AI writing and research
- Gemini‑powered drafting/refinement with clean markdown output
- CompactAI suggestions: categories, severity filters, tooltips, one‑click accept/reject, before/after previews
- Refine panels that never auto‑replace—review and accept with confidence
- School Agent using Perplexity (sonar) for up‑to‑date requirements and quick citations
- Editor experience
- CoreEditor architecture: stable instance via refs; zero re‑renders during typing
- CSS‑only mode switching for normal/focus/comment modes to protect cursor and selection
- Auto‑save every 10 minutes with “last saved” time
- Comment actions appear only in comment mode to reduce clutter and misclicks
- Information architecture and UI
- Three‑column layout: requirements | writing assistant | agent/co‑pilot
- “Agent Mode” expands the writing area while analysis runs in the right panel
- Frosted glass design system, consistent spacing, aurora gradient chips where appropriate
- Searchable, preloaded dropdowns (school filters); floating refine button; centered modals
- Reliability, auth, and platform
- Supabase with unified server‑side
getUser()
authentication (SSR) - Cloud‑only storage and endpoints—no local DB needed for collaborators
- 60s timeouts and automatic retries for network‑sensitive tasks
- Unified error handling for predictable experiences under load
Technical barriers addressed
- Low‑friction collaboration: share a link, start working—no installs or accounts for mentors to “just help”
- Stable editing at scale: ref‑driven editor + CSS‑only mode switches prevent flicker and focus loss
- Auth consistency: SSR
getUser()
and unified error handling reduce intermittent failures - Network resilience: generous timeouts and retry logic for scraping and AI APIs
- Design consistency: reusable frosted‑glass components and a strict grid/spacing system
Architecture and stack (brief)
- Frontend: Next.js (App Router), Tailwind, frosted glass design system
- Auth/data: Supabase with
@supabase/ssr
and unified getUser()
flow - AI: Google Gemini via
@google/genai
(ai.models.generateContent({ model, contents })
) - Research: Perplexity (sonar) for dynamic, source‑aware requirement checks
- Editor: Imperative CoreEditor (refs), event‑based comment markers, TipTap Marks (planned)
- Performance: Stable editor instance, autosave queues, no re‑renders during typing
My role and skills (what I bring)
I architected and led this product end‑to‑end—blending deep engineering, product strategy, and thoughtful UX to ship fast, stable, and accessible tools.
- End‑to‑end product leadership
- Translated admissions pain points into a collaboration‑first workflow with discovery before drafting
- Drove roadmap, UX research, information architecture, and measurable success criteria
- Real‑time systems and collaboration
- Presence‑ready architecture (live cursors, conflict resolution, offline sync)
- Decoupled editor core from UI for future CRDT/OT without rewrites
- AI/ML integration at product quality
- Robust Gemini integration with markdown‑clean responses, retries, and fallbacks
- Perplexity sonar pipelines for source‑aware research and requirement extraction
- Frontend engineering at scale
- Ref‑driven, zero‑re‑render typing loop; CSS‑only mode switches; custom events to isolate heavy logic
- CompactAI suggestion UX for high signal and minimal flow interruption
- Platform and reliability
- SSR auth patterns with Supabase
getUser()
; secure server‑side AI initialization - 60s timeouts, automatic retries, unified error handling; cloud‑only endpoints for easy collaboration
- Design systems and DX
- Multi‑layer frosted‑glass component library; strict spacing and motion guidelines
- Accessibility‑minded patterns; rapid iteration velocity with strong component reuse
- Leadership and velocity (turning the dial up)
- I operate across product, engineering, and design with uncommon range—comfortable in systems design reviews, UX critiques, or deep debugging
- I move fast without breaking quality: set standards, mentor contributors, and ship features that feel polished from day one
Current status and roadmap
- Implemented
- Stable editor core; AI drafting/refining; autosave with last‑saved time
- Searchable school filters; frosted glass UI components; SSR auth; longer timeouts and retries
- In progress
- Full multi‑role presence (live cursors, selections), conflict resolution, offline sync
- Advanced comment system (TipTap Marks, React Portal) decoupled from the editor
- Richer CompactAI suggestion cards, category/severity filtering, batched accepts
- Expanded School Agent capabilities and affordability‑aware Fit Finder
Call to action
Pathway AI is built for access: agency‑level structure without the agency cost, and discovery tools to help you find the right fit. Star the project to follow progress, or reach out if you want to collaborate on making equitable admissions support a reality.