Agentic tools in the writing studio: what the drafts actually looked like
Two sections, same prompt, one with agent feedback in the loop. The interesting result wasn't quality — it was revision behavior.
Faculty‑built. Future‑facing. Deliberately early.
A cross-college collective for emerging technology — seeding experiments before they're safe bets, putting unfamiliar tools in faculty hands, and publishing what actually happened when we tried them in a real classroom.
A standing faculty collective inside New York Institute of Technology, formed in 2023 and drawing from all six colleges across Long Island, Manhattan, and Jonesboro, Arkansas.
Funds early experiments through Catalyst Grants, publishes what happened in Emerging @NY Tech, keeps a shared equipment library, and runs open sessions on every campus.
Any New York Tech faculty or staff member with a question they can't answer yet — and the students who end up building the answer with them.
Seed funding for work that is too early, too weird, or too cross-disciplinary for a conventional line item.
Awards of up to $15,000 for New York Tech faculty and staff prototyping with emerging technology — XR, applied AI, robotics, edge sensing, digital fabrication, simulation, and whatever doesn't have a category yet. Open across all three campuses — Long Island, Manhattan, and Jonesboro, Arkansas — and cross-campus teams are prioritized. Funded work is expected to surface publicly in Emerging @NY Tech within the year.
Eight rooms in the same building. Wander into whichever one is closest to what you're working on.
Field notes from faculty across all six colleges: what they built, what broke, what they'd do differently. Written by the people who ran the experiment, not the people who wrote the press release.
Briefings, tool teardowns with an honest verdict, and classroom-ready policy language. Updated when something actually changes.
Up to $15K to try the thing. Opens September 23, 2026.
See the call 04 — AccessReserve the gear. Headsets, capture rigs, print farm, edge boxes, one very patient robot arm.
Check availability 05 — LiveShort demos, long questions, no slides longer than ten. All three campuses, plus a stream.
See what's next 06 — ToolkitA full AI and automation suite for instructors and students — assistants, workflow automation, and course tooling that works today, not next semester. Built and maintained alongside ETG.
Open the Workshop 07 — DigestOne monthly email. Five things that changed, one thing worth ignoring, and where the grant money went.
Subscribe 08 — StudentsPaid fellowships pairing students with funded faculty projects. Applications follow the grant cycle.
Fellowship detailsWhere faculty post dispatches — short, first-person notes about work in progress. Published while it's still unfinished, which is the point.
dispatch n. — three paragraphs, a photo, and an honest result. No abstract, no citations, no waiting until it works.
Practical, current, and unsentimental. No hype, no doom, no thirty-slide deck about the fourth industrial revolution.
ETG runs tools through real coursework before recommending them. Everything here has been used by a New York Tech instructor with real students and a real deadline — including the ones we're telling you to skip.
Our full AI & automation suite for instructors and students.
Two sections, same prompt, one with agent feedback in the loop. The interesting result wasn't quality — it was revision behavior.
A short, defensible framework for assignment design that doesn't depend on catching anyone.
Cost, privacy, and latency math for keeping student data off third-party servers.
etg@ai-corner:~$ ls briefings/ | wc -l → 41
Accuracy is solved. Accessibility workflow and FERPA posture are not — read the storage terms before you upload a class.
Fast first pass, unusable without review. Budget the time you thought you were saving.
Consistent, confident, and wrong in ways that correlate with student writing style. Not yet.
etg@ai-corner:~$ cat verdicts.md → 11 use · 15 with-care · 8 skip
Copy-paste blocks for permitted, restricted, and required-disclosure course policies.
Six lines students attach to submitted work. Low friction, high signal.
Thursdays, 2–4 PM. Bring one assignment; leave with a version that survives contact with a chatbot.
etg@ai-corner:~$ ./book-clinic --day thu
Equipment you shouldn't have to write a grant to touch. Reserve by the week, training included, shipped between campuses on request.
Standalone and tethered headsets, hand-tracking, room-scale capture volume.
LiDAR scanner, photogrammetry rig, calibrated lighting, ambisonic audio.
Multi-material FDM bank plus resin. Queue is public; jobs run overnight.
GPU-class single-board nodes for on-device inference and offline demos.
Collaborative 6-axis arm with vision. Safe for teaching, patient with beginners.
Environmental, structural, and biometric modules with pre-built loggers.
Thirty minutes of demo, thirty minutes of argument. Long Island, Manhattan, and Jonesboro — streamed all three ways.
Bring a laptop. Leave with something running on it. No prior ML required.
Walkthrough of the RFP, budget norms, and the three reasons proposals get sent back.
Six projects, six tables, one hour. Demos you can put your hands on.
Synthetic-voice standardized patients and haptic trainers, demonstrated by the people running them.
Short, skimmable, and written for people who teach. No tracking pixels, no "thought leadership," unsubscribe in one click.
Monthly · open to all New York Tech faculty, staff & students
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