# Time Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/time
> Markdown URL: https://aitinkerers.org/technologies/time.md
> Technology record last updated: 2026-02-25T06:30:25Z
> Generated: 2026-09-23T08:56:23Z

High-precision synchronization for global networks and local hardware.

Precision timekeeping anchors modern infrastructure: GPS satellites (using onboard atomic clocks), high-frequency trading platforms (requiring microsecond accuracy), and global network protocols (NTP/PTP). Systems rely on the Cesium-133 atom’s vibration frequency (9,192,631,770 cycles per second) to define the SI second. This synchronization prevents data collisions in telecommunications and ensures navigational accuracy within centimeters. It is the invisible backbone of every digital transaction and automated system.

- Official technology site: https://time.is
- Public AI Tinkerers demos and talks: 6
- Result page: 1 of 1

## Recent Public Talks and Demos

### [The Interview That Runs Itself](https://seattle.aitinkerers.org/talks/rsvp_HVXP2AFZt-U)

I built a brand-discovery workshop that runs itself: an ElevenLabs voice agent interviews you about your brand, and while you're still talking, Claude mines the live transcript and pops "nuggets" (quotable insights) onto the screen in real time — then turns each section of the conversation into structured deliverables: a brand voice guide, an ICP profile, and a channel strategy. I used to run this workshop by hand — 90 minutes per client plus waiting on transcripts — so I automated the interviewer out of the room, starting with me. Live, I'll talk to the agent on stage so you can watch insights get captured mid-sentence, walk the two-model architecture on an interactive deck that replays a real session using the app's actual pacing and threshold code, and show the working system deployed at workshop.trymarketingmachine.com.

- Event context: AI Tinkerers Seattle Summer Bash — 2026-07-29 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_HVXP2AFZt-U

### [Parallel Coding Agents Without Merge Hell](https://columbus.aitinkerers.org/talks/rsvp_79je3WEumVU)

Multiple coding agents in parallel against the same codebase by treating version control changes as the fundamental unit of agent work. For the demo, I'll show agents working simultaneously on distinct tasks across a shared repo, with their work composed cleanly

- Event context: AI Tinkerers - Columbus April Meetup — 2026-04-06 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp_79je3WEumVU

### [From Cold Email to Trusted Conversation: How AI Agents Turn Outreach into Revenue](https://seattle.aitinkerers.org/talks/rsvp_Z5K4dyJQ7rE)

This talk covers the architecture of an AI-driven outbound system designed to create highly personalized B2B outreach at scale. I will walk through the design of two agent systems — IRIS, a hyper-personalized email generation engine, and Hermes, a social-channel warming system that leverages the psychological mere exposure effect to increase response rates. IRIS uses Firecrawl to extract structured information from target company websites, Perplexity for real-time research enrichment, and an LLM pipeline that synthesizes this context into personalized outreach messages rendered through React Email templates. The result is emails that read as if they were written by a human founder after researching the company. Hermes operates as a GUI-driven agent that manages warm-up sequences on social platforms, creating lightweight touchpoints before direct outreach. Together, these agents form a two-channel system designed to increase outbound effectiveness in trust-sensitive industries like healthcare. I will walk through the system architecture, data flow, and agent orchestration, including how contextual data is collected, synthesized, and translated into human-like messaging. I will also share early performance results showing how research-driven outreach can significantly outperform traditional cold email strategies.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_Z5K4dyJQ7rE

### [GitClaw](https://paris.aitinkerers.org/talks/rsvp_minZf42tgUo)

GitClaw is a real-time voice AI companion designed to help GitHub maintainers manage repositories more efficiently. Built entirely by Nelson PROIA, GitClaw integrates directly into the GitHub workflow and allows maintainers to interact with their repositories through a natural voice interface. Instead of constantly switching between dashboards, notifications, and pull requests, maintainers can simply speak to GitClaw to review PRs, triage issues, track repository activity, and receive real-time updates. By combining voice interaction with intelligent repository awareness, GitClaw reduces the operational overhead of open-source maintenance and allows maintainers to focus on building, reviewing code, and engaging with their communities.

- Event context: High-Performance Local AI Development: Kick-off ThinkStation PGX — 2026-03-17 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_minZf42tgUo

### [Autonoumous web agents](https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_gvCpwH7qTpw)

Viet bike scout is a website to compare prices between all the rental shops to find the best bang for your bucks. Normally, you would have to browse 10-20 shops and spend hours before finding a good fit But with viet bike scout, it is 5 minutes max Parallel AI agents are fired up, searching the web for you, to find the best price for the type of vehicle you're looking for

- Event context: AI Tinkerers Ho Chi Minh City: From Prompt to Agent — 2026-03-07 — Ho Chi Minh City
- Public talk page: https://ho-chi-minh-city.aitinkerers.org/talks/rsvp_gvCpwH7qTpw

### [Teaching an AI to Text: Turning Natural Language Into Chat Actions](https://chicago.aitinkerers.org/talks/rsvp_XrA7jcPfzYI)

This demo explores how AI can improve the texting experience by letting users send messages using natural language instead of UI steps. I’ll present SmartChat, a real-time chat experiment where users can type commands like “Send Aron I’ll be late” and have the system infer the recipient, message, and intent. The focus is on how the AI layer was designed: parsing ambiguous text, matching recipients from partial names, confirming intent, handling mistakes, and keeping the interaction fast enough for real-time chat. I’ll walk through how LLMs were integrated into a mobile messaging flow, how failures are handled, and what design patterns worked (and didn’t) when AI becomes part of the text input itself.

- Event context: AI Tinkerers Chicago: February Meetup ft. DubClub — 2026-02-17 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_XrA7jcPfzYI

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