A sample of what we've built — the problems behind each project, what was built to solve them, and what changed as a result.
Every resume the firm received had to be manually reformatted into their branded template before it could go to a client — copy-pasting content, fixing fonts, adjusting layouts, adding the logo. With a steady flow of candidate submissions, recruiters were spending 10–15 minutes per resume on work that added no judgment, no value, and no skill. It just had to be done.
An email-based automation that watches a dedicated inbox. A recruiter forwards any resume — PDF or Word — with "format this" in the subject line. Within seconds, the system extracts the content, sends it to Claude to parse and structure the candidate's information, renders it into the firm's branded template, and replies to the sender with a polished PDF and Word document attached. No login. No interface. No new tool to learn. It just shows up in their inbox.
Booking a consultation shouldn't require back-and-forth emails, manual calendar checks, or a generic scheduling link that tells you nothing about the person on the other end. The goal was a system that felt like a product — something a prospective client could move through in under three minutes and come away feeling like they'd already started working with someone who understood their situation.
A five-screen intake form captures the client's business context and pain points. Claude processes the responses and generates a personalized summary — specific to what they described, not a template. The system then reads live calendar availability, presents open slots, and on confirmation creates the calendar event, writes a CRM record to Supabase, sends a confirmation email to the client, and emails an intake brief and AI-generated research report on their business to Dave — all before the page finishes loading. This site is the live version.
Building a flight schedule for a P-3C Orion squadron is a constraint satisfaction problem with dozens of variables — crew qualifications, currency requirements, crew rest rules, sortie types, aircraft availability, and ranking priority. At VP-40, four aircrewmen spent roughly six hours a day on this work. It required deep institutional knowledge, meticulous cross-referencing, and constant manual reconciliation. It was exactly the kind of problem that should be automated.
A proof-of-concept CLI application backed by an agentic AI loop using the Anthropic SDK. Claude Sonnet handles constraint reasoning across a 132-person personnel database; Claude Haiku handles structured data extraction — models selected by cost-to-capability tradeoff. All scheduling rules live in a single configuration file and propagate automatically to the agent prompt, input validation, and HTML report renderer. Output is a print-formatted flight schedule with crew assignments, qualification checks, and signature blocks — generated in seconds rather than hours.
If you're spending time on something repetitive, there's probably a build worth doing. The first conversation is free.
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