Our Work

Real tools built to solve real problems. No demos, no vaporware.

Over the last couple of years, we've built custom tools for real businesses: replacing WordPress and QuickBooks, automating messy data workflows, cutting hosting costs, generating content and images at scale, and building systems to do boring operational work reliably without babysitting.

Selected Projects

Replaced WordPress with Static Sites

Problem

Client sites running WordPress required constant updates, had security vulnerabilities, and cost significant hosting fees.

Solution

Built static site generation pipelines that create thousands of pages from structured data.

Outcome

Faster load times, zero security patches needed, 80%+ reduction in hosting costs, and easier long-term maintenance.

Custom Accounting System

Problem

QuickBooks was overkill and expensive for a seasonal business with simple but specific needs.

Solution

Built a custom accrual accounting system with P&L, balance sheet, rule-based categorization, and monthly reconciliation.

Outcome

System designed specifically for low-volume, high-season workflows. No monthly fees, no unused features.

AI Data Processing Pipeline

Problem

Large volumes of unstructured data needed to be processed, validated, and transformed, but manual review was taking weeks.

Solution

Built AI pipelines to extract facts, validate entries, flag errors, and handle ambiguous inputs safely.

Outcome

Processing time reduced from weeks to hours. Human review focused only on edge cases.

Content Generation at Scale

Problem

Needed thousands of city-level and category pages with consistent quality and SEO optimization.

Solution

Automated content generation with schemas, metadata, and consistency checks built in.

Outcome

Generated thousands of pages that would have taken a team months to write manually.

Cold Outreach System

Problem

Manual outreach was inconsistent and couldn't scale beyond a few dozen contacts per day.

Solution

Built systems to generate, sequence, batch, and handle replies for large-scale outreach.

Outcome

Contacted tens of thousands of prospects with proper sequencing and reply handling.

Custom Mapping System

Problem

Google Maps costs were unsustainable at scale (millions of map loads per month).

Solution

Replaced Google Maps with open-source alternatives, fully controlled and optimized.

Outcome

Maintained full functionality while dramatically reducing costs.

What We Can Build

Data & Processing

  • Clean, validate, and normalize messy CSVs and spreadsheets
  • Build rollback-safe pipelines with checkpoints
  • Reconcile data across systems that don't integrate
  • Extract structured data from unstructured sources

Content & Generation

  • Generate thousands of pages from structured data
  • Bulk image creation with consistent sizing, compression, and branding
  • Document generation and templating at scale
  • Content validation and update systems

Infrastructure & Tools

  • Replace expensive SaaS with purpose-built tools
  • Browser extensions for capturing and transforming web data
  • Search and filtering systems with precomputed indexes
  • Integration layers between incompatible systems

What AI Can Actually Do (That You Might Not Know)

AI isn't magic, but it's genuinely useful for certain tasks. Here's what works well today:

Process Unstructured Text

Extract names, dates, amounts, and facts from documents, emails, and forms that don't follow a consistent format.

Classify and Route

Sort incoming requests, categorize support tickets, or route documents to the right department based on content.

Generate First Drafts

Create initial versions of reports, summaries, descriptions, or responses that humans can review and refine.

Validate and Flag

Check data for inconsistencies, missing fields, or values that look wrong and need human review.

Transform Formats

Convert between data formats, normalize naming conventions, or restructure information for different systems.

Answer Questions About Documents

Find specific information in large document collections without manual searching.

The key is matching AI capabilities to real operational needs, not chasing hype.

Have a process that needs fixing?

Let's talk about what's eating up your team's time.

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