Dave Bettner
Email Dave

I build AI tools and agent workflows.

I’m targeting forward deployed engineering and adjacent customer-facing technical roles. I bring 10+ years in enterprise software and customer delivery, including leading 6–12 concurrent Workiva implementations and managing a five-person implementation team.

Dave seated at his dual-monitor desk, using a mouse beside a light spreadsheet and a dark coding-agent workspace, with his dog resting on the rug.

Selected work

Study choices and practice tied to lecture sources.

I design and build the workflow from lecture material to practice, helping students decide what to study next.

Passal exam preparation with quiz, course, and review actions.

Leasekite

Work in progress

Vehicle comparison and lease requests.

I design and build the comparison and request flows. Drafts remain available for review, with negotiation decisions kept with the user.

Leasekite vehicle comparison interface with lease search options.

A project workspace that helps people and AI assistants pick up work without rebuilding its context. The first integration supports Workiva reporting.

I own product direction, interface design, and implementation through AI coding tools. My reporting-delivery experience shaped the review workflow: proposed changes show their expected results before they run, with a record of what happened and a way to undo them.

Krowbar demo workspace with fictional reporting engagements and work awaiting review.

A Workiva consulting practice built around training and client ownership.

I shaped the positioning, website, and reporting resources, translating reporting expertise into a service offering and supporting materials.

Lockfield website introducing its Workiva consulting practice.

How I build with AI tools

I own product direction and implementation for Homebase, Passal, and Leasekite, working through AI coding tools. I define what each workflow needs to do, which actions need approval, and how to check the result. Codex and Claude help implement features, write tests, and review code.

In Homebase, a draft, an approval, and an actual delivery remain distinct. I design the workflow so that a completed task does not automatically count as a customer receiving the result. The Homebase case study shows what exists and what is still in development.

I work in T3 Code with a VPS-hosted backend, and Hermes coordinates ongoing agent work. I publish this Astro site with Cloudflare Workers and Wrangler. GitHub keeps the source history; Playwright and axe check browser behavior and accessibility. My operating stack write-up explains the tools and release process.

Build notes

Customer delivery background

At Citrin Cooperman, I managed a five-person implementation team. At Workiva, I led 6–12 concurrent implementations.

At LSL, I scoped consulting engagements, prepared estimates and statements of work, and led Workiva delivery for city and county finance teams through client sign-off. I also directed AI-assisted development of Python reporting tools reused across engagements. I built internal review workflows that compare reports with source records and route discrepancies for human review before client changes.

Technical tools

More technical work

Technical walkthroughs

How do you know an AI update worked?

Try a valid update, a stale source, a wrong calculation, and a lost response. This interactive lesson explains how to check an automated action and recover without applying it twice.

Fictional inventory data. Deterministic checks run in your browser.

Try the walkthrough