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Capabilities

Software and the whole AI arsenal.

Everything we build, from websites, web, mobile and desktop apps to AI agents, automation and MCP servers, with live, animated looks at how the work actually flows.

This is what “AI that works” looks like.

Not a chatbot that talks, an agent that does. It plans, calls real tools and your systems, checks its results, and delivers a verified outcome. Watch a typical run on the right.

Support Agent

plans · calls tools · delivers

live
Summarise yesterday's support tickets and email me the top issues.

Anatomy of an agent

What's actually inside an AI agent.

A real agent is more than a model. Here is how the pieces fit together, and how they work in a loop.

Agent
Modelthe reasoning
ToolsAPIs, data, code
Memorycontext and state
Guardrailssafe by design

Plan, act, observe, repeat.

A real agent is more than a model. It reasons with the right model, calls your tools and data, keeps just enough memory, and stays inside guardrails. It works in a loop: make a plan, take an action, check the result, and adjust, with a human in the loop wherever the stakes are high.

  • The model decides what to do next
  • Tools let it take real actions
  • Memory keeps it on track across steps
  • Guardrails keep it safe and predictable

What we build

Software first, intelligence where it counts.

We are software engineers before anything else. Websites, web, mobile and desktop apps, then AI and automation layered in where they genuinely add value. Open any one to watch it being built.

How the work flows

Four AI systems we build, in motion.

Every one of these is something we ship to production. Hover or just watch, the pipelines run live.

AI Agentic Systems

Agents that plan, call tools, check their own work, then act, with guardrails.

GoalUser intent
PlanReason & decompose
Tool callsAPIs · data · code
ObserveCheck results
DeliverVerified output

Workflow Automation

Trigger to outcome, automated end-to-end across your existing tools.

TriggerEvent / schedule
ExtractParse & enrich
DecideRules + AI
ActUpdate systems
NotifyPeople & logs

MCP Servers

Give AI safe, typed access to your data, tools and systems via the Model Context Protocol.

AI clientCursor / your app
MCP serverTyped tools
Your systemsDB · API · files

AI-Native Engineering

From a prompt to shipped, production-grade software, fast, but reviewed.

SpecGoal & constraints
GenerateCursor, Codex
ReviewTests & checks
ShipCI/CD, Vercel

Integrations & Connected Systems

We connect your apps to your CRMs, databases and tools, with AI pipelines where they add value.

Your appweb, mobile, desktop
IntegrationAPIs, webhooks, MCP
Your systemsCRM, DB, tools
AI pipelinewhere it helps

AI-native engineering

From prompt to production, reviewed.

We move fast with AI-assisted development, but everything ships through tests, review and CI/CD. Here's the loop, on repeat.

agent.ts
terminal

Every modality

Text, voice, vision, image and video.

Modern AI is not just chat. Scroll through the transforms we combine into pipelines that do real work.

01

Text to Image

Image generation

Text
Image

Image generation

02

Image to Text

Vision and extraction

Image
Text

Vision and extraction

03

Speech to Text

Transcription, speech to text

Speech
Text

Transcription, speech to text

04

Text to Speech

Natural voice, text to speech

Text
Speech

Natural voice, text to speech

05

Text to Video

Text to video

Text
Video

Text to video

06

Docs to Answers

RAG over your knowledge

Docs
Answers

RAG over your knowledge

The toolkit

The full arsenal.

The stack I build with daily, and the capabilities I wire together for clients. No single tool or model wins everything; the skill is choosing and combining them well.

How I build

An AI-native toolchain that ships real software, fast.

CursorClaude CodeCodexChatGPTGitHubCI/CDVercelMCP servers

The right model for the task

No single model wins everything, I pick per job and can swap freely.

OpenAI GPTAnthropic ClaudeGoogle GeminiOpen-source (Llama / Mistral)EmbeddingsVision modelsVoice models

Capabilities & techniques

The building blocks behind production AI.

Tool callingFunction callingStructured outputsRAG & retrievalAgents & orchestrationMCP serversSystem integrationsPDF generationApp & website generationEvals & guardrails
Charleston waterway at sunset with palmetto silhouettes

Your project

Bring a problem, we'll bring the right tools.

Whatever the mix, agents, automation, MCP, custom software, we'll assemble the pieces that actually solve it.