# Prompt Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/prompt
> Markdown URL: https://aitinkerers.org/technologies/prompt.md
> Technology record last updated: 2026-02-26T13:23:28Z
> Generated: 2026-08-25T12:15:37Z

Panic's premier SSH client for iOS and iPadOS delivers fast, secure terminal access from any mobile device.

Prompt 3 provides a robust SSH environment for mobile power users. It features a custom terminal engine (supporting VT100 and Xterm-256color) and handles modern security protocols like Ed25519 and ECDSA keys. The interface includes a customizable accessory bar for essential keys (Esc, Tab, and arrows) to speed up command entry. Panic Sync keeps server lists and credentials consistent across iPhone, iPad, and Mac. Biometric locks (FaceID or TouchID) ensure keys stay protected while remaining accessible for rapid deployments.

- Official technology site: https://panic.com/prompt/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Six Claude Agents and a Trust Boundary: A Clinical Co-Pilot](https://montreal.aitinkerers.org/talks/rsvp_4qzrWmd9MiM)

A multi-agent clinical co-pilot that runs six specialist Claude agents in parallel on top of a PHI-safe pipeline : every LLM call sees only de-identified text, and re-identification happens server-side after the model returns. Live, I'll load a synthetic 68F new-AFib case where the cardiology plan proposes amiodarone for a patient already on warfarin. The Triage, Differential, Pharmacy, Guidelines, Bias-Check, and Communication agents stream into six panels via asyncio.gather. The Pharmacy agent flags the warfarin–amiodarone CYP2C9/3A4 interaction; Bias-Check independently flags anchoring on rhythm control; the orchestrator detects the cross-agent convergence and elevates it as a high-severity flag. I'll then toggle the Safety Gate off so the audience sees raw PHI hit the LLM and get echoed back — then flip it on and show the audit log assertion (zero raw PHI, only counts + SHA-256 hashes). I'll show the FastAPI/WebSocket code that fans out the agents, the trust-boundary diagram, the structured-field redactor, the live audit log tail, and the keystone pytest (test_pharmacy_catches_warfarin_amiodarone). Repo, logs, and 35/35 passing tests are all open.

- Event context: AI Tinkerers Montreal - May Demo Meetup @ Ubisoft — 2026-05-26 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_4qzrWmd9MiM

### [Repeated inference in practice](https://hamburg.aitinkerers.org/talks/rsvp_WxCKoC_z4CQ)

We use LLMs to identify which elements on a website are most relevant for changes based on a specific marketing strategy. This is a complex task, and due to the size of the prompt, the structured output from the LLM can sometimes be unstable and may lack precision and recall. By running multiple inferences and combining and reranking the outputs, we can achieve better stability and quality in the results.

- Event context: AI Tinkerers Hamburg - September 12 — 2024-09-12 — Hamburg
- Public talk page: https://hamburg.aitinkerers.org/talks/rsvp_WxCKoC_z4CQ

## Related Technologies

- [AGENTS](https://aitinkerers.org/technologies/agents) ([Markdown](https://aitinkerers.org/technologies/agents.md)) — 20 public demos
- [Anthropic](https://aitinkerers.org/technologies/anthropic) ([Markdown](https://aitinkerers.org/technologies/anthropic.md)) — 36 public demos
- [Azure](https://aitinkerers.org/technologies/azure) ([Markdown](https://aitinkerers.org/technologies/azure.md)) — 9 public demos
- [Azure OpenAI](https://aitinkerers.org/technologies/azure-openai) ([Markdown](https://aitinkerers.org/technologies/azure-openai.md)) — 6 public demos
- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [BLOOM](https://aitinkerers.org/technologies/bloom) ([Markdown](https://aitinkerers.org/technologies/bloom.md)) — 115 public demos
- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 204 public demos
- [FastAPI](https://aitinkerers.org/technologies/fastapi) ([Markdown](https://aitinkerers.org/technologies/fastapi.md)) — 178 public demos
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [GPT-4o](https://aitinkerers.org/technologies/gpt-4o) ([Markdown](https://aitinkerers.org/technologies/gpt-4o.md)) — 57 public demos
- [Inference](https://aitinkerers.org/technologies/inference) ([Markdown](https://aitinkerers.org/technologies/inference.md)) — 9 public demos
- [Llama-2](https://aitinkerers.org/technologies/llama-2) ([Markdown](https://aitinkerers.org/technologies/llama-2.md)) — 227 public demos
- [Output](https://aitinkerers.org/technologies/output) ([Markdown](https://aitinkerers.org/technologies/output.md)) — 2 public demos
- [PaLM 2](https://aitinkerers.org/technologies/palm-2) ([Markdown](https://aitinkerers.org/technologies/palm-2.md)) — 116 public demos
- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 654 public demos
- [Reranking](https://aitinkerers.org/technologies/reranking) ([Markdown](https://aitinkerers.org/technologies/reranking.md)) — 1 public demo
- [RoBERTa](https://aitinkerers.org/technologies/roberta) ([Markdown](https://aitinkerers.org/technologies/roberta.md)) — 118 public demos
