Project knowledge that carries forward
Maintained architecture guides, business rules, and approved specifications give agents reusable context. The team can build on prior decisions and focus on the requested change.
A Christian software development company
AI-assisted development that makes your software budget go further.
Our developers use AI across planning, implementation, review, testing, and debugging, backed by reusable project knowledge, specialist agents, and engineering judgment.
Focused scope, existing systems worth keeping, and reviewable checks help direct your budget toward useful software. Build a new product, improve an application, or connect AI to the way your organization works.
Building an AI product? Explore our AI application development and MCP integrations.
Systems that make AI-assisted development effective
Our developers use Claude Code and specialist agents within repeatable engineering workflows. Reusable context, focused tasks, and checks on the result help direct the budget toward useful implementation and a reviewable delivery.
Specialists matched to the task
Focused agents can explore legacy code, review database changes, or check an interface. Model choice and parallel work follow the complexity of the task, keeping the coordination proportionate.
Independent review and challenge
Additional reviewers examine changes and challenge potential defects. Developers review the findings against the code, requirements, and evidence before deciding what needs to change.
Verification in the software itself
Builds, regression tests, responsive checks, and interactions in the running app connect implementation to actual behavior. Handoffs record what was checked and what remains to verify.
AI work, backed by software experience
Explore AI research tools and connected applications alongside the software systems our team works on. Open a project to see the capabilities and its current stage.
AI & Research · Internal workflow tooling
AI Skills Workflow Toolkit
A versioned AI workflow toolkit connecting planning, implementation, QA, tests, and pull-request review through reusable team skills.
Developer tools, AI coding assistants
Education · Live MCP v2 on ChatGPT
ClassWise
An education platform for school operations, with web and mobile apps and a live MCP v2 integration on ChatGPT.
Web, iOS, Android, ChatGPT (MCP v2)
AI & Research · Live
Ask Spurgeon
A sermon-research and AI application combining a structured historical corpus, retrieval tools, and carefully separated generated answers.
Web, MCP integration
AI & Research · Development work
Facilitron Works AI
AI assistance for facility operations, connecting natural-language questions with work-order counts, documentation lookup, and report preparation.
Web assistant, Application tools
A practical way into your next project
Start with one useful workflow, an integration, or the next release of your product. We can discuss the constraints and define a focused first milestone.
Build or improve your software
Use an AI-assisted engineering team to create a web or mobile product, extend an existing application, or connect its data and infrastructure. Start with a focused, useful milestone.
See our development approachBuild a useful AI application
Turn a body of knowledge or a recurring task into a defined AI experience. Plan retrieval, answer boundaries, and a way to check whether the result is useful.
Explore AI developmentConnect AI to your tools
Give an AI workflow a controlled path to the services and information it needs through MCP connectors and APIs. Make the available actions and access boundaries explicit.
Explore MCP integrationsSoftware experience behind the AI work
AI applications still need dependable interfaces, data, permissions, and infrastructure. Our broader work spans the systems people use in schools, field operations, care, and ministry.
Schools and education
ClassWise connects grades, attendance, DepEd forms, and tuition in an offline-first school application. Its live MCP v2 integration on ChatGPT brings scoped reporting and operational diagnostics to connected AI workflows.
Facilities and field teams
Our portfolio includes Facilitron Works for work orders, Facilitron FIT for inspections, and Facilitron Inventory & AssetHub for assets and modernization work.
Caregiver workflows
CareExchange EVV is part of our mobile portfolio. Caregiver applications illustrate the need to fit software into work that takes place away from a desk.
Churches and ministries
From the Smyrna church app to congregation websites and ministry platforms, our portfolio includes tools for communication and public information alongside business software.
From the AI workflow to the system behind it
An AI feature may need source retrieval, tool access, and a place in an existing application. A mobile product may need local data and background synchronization. We work across the interface, integrations, data, and deployment so these decisions can be made together.
AI Application Development
Useful AI applications built around your knowledge, business workflows, and existing software, with a focused scope and a practical delivery plan.
MCP & AI Tool Integrations
Connect AI tools to the systems and information your team already uses through focused MCP servers, APIs, and permission-aware integrations.
Web Development
Custom websites and web applications built with React, TypeScript, and APIs for the way your organization works.
Mobile App Development
React Native development for iOS and Android, including offline-first applications, integrations, and ongoing feature work.
Server Management
Backend development, REST APIs, and server management with Node.js, C#/.NET, and AWS infrastructure.
Database Management
Database design, SQL development, and performance improvements for applications using MySQL, PostgreSQL, and managed databases.
DevOps
Deployment pipelines, infrastructure as code, and application monitoring for software teams using AWS and Azure.
Cloud Services
AWS and Azure application hosting, serverless infrastructure, storage, and integrations planned around your application.
Useful results need engineering judgment
For an AI application, we plan what information it can use, which tools it can call, and how its behavior will be checked. Source material, generated answers, and actions need clear boundaries.
We also use AI-assisted tools while implementing, reviewing, testing, and debugging software. The team remains responsible for understanding the requirements, checking changes, and fitting them into the wider application.
Learn about our approachDefine effectiveness in the workflow
A research tool should help someone find and inspect relevant sources. An integration should make the intended information or action available. A mobile workflow should account for the conditions where it is used.
Those concrete tasks give the project something useful to build and evaluate. They also help keep extra features and unnecessary infrastructure out of the first release.
Explore AI project workFind the useful next step for your budget
Bring the workflow, the existing systems, and the budget you need to work within. We can discuss where AI or custom software fits and define a practical starting point.