Menu Close Menu
Learn More

Projects

AI-Powered SWOT Analysis Project Image
001

AI

FastAPI

LiteLLM

Survey Analysis

Non-Profit

AI-Powered SWOT Analysis

Built a multi-stage AI pipeline that transforms raw survey data into evidence-based SWOT analyses. The application ingests CSV exports and automatically extracts themes, identifies patterns, and generates strategic insights with supporting evidence.

Features built-in PII protection, fault-tolerant processing with checkpoint/resume capability, and generates actionable "How Might We" questions. Reduced a 2-day manual consulting process to under 2 hours with consistent, data-driven outputs.

Our Process

01

Analyzed client's manual SWOT workflow to identify automation opportunities

02

Designed multi-stage AI pipeline with privacy protection built in

03

Built fault-tolerant processing to handle large survey datasets reliably

04

Delivered production-ready API with comprehensive test coverage

AI Coaching Mentorship Project Image
002

AI

Prompt Engineering

Strategy

Small Business

Education

AI Coaching Mentorship

Ongoing coaching and mentorship for small businesses and educators on practical AI adoption. Topics include prompt engineering and context engineering strategies, AI workflows, using AI for research, and evaluating AI tooling options.

Sessions also cover AI risks and opportunities specific to each business, AI adoption strategies, developing AI policies, and building long-term AI strategy. Clients include small businesses across industries and the education company behind the Use Case Generator project.

Our Process

01

Assess current AI knowledge and business-specific needs

02

Coach on prompt engineering and context engineering techniques

03

Develop AI workflows and evaluate tooling for their use cases

04

Guide AI strategy, policy development, and adoption planning

TaskFox Factory Project Image
003

AI Agents

Claude Agent SDK

Agent Harnesses

CLAW

iMessage

TaskFox Factory

TaskFox Factory is our AI workshop — a place where small specialized agents handle research, content, voice, and code on demand. Behind a single API, multi-vendor pipelines (Claude, Gemini, OpenAI, ElevenLabs) coordinate so each task gets the right tool without integration friction.

Powering this is CLAW — our Claude Long-running Always-on Workflow. We steer a persistent AI teammate from a phone via iMessage while it works in the real codebase, hands long tasks off to specialized agent harnesses, and pings back when something needs attention. The kind of always-on AI partner that used to require a team.

Our Process

01

Designed an extensible skill and agent library so new capabilities slot in fast

02

Built multi-vendor pipelines — Claude, Gemini, OpenAI, ElevenLabs — behind one unified API

03

Wired the iMessage channel so we can steer the AI teammate from anywhere

04

Stood up CLAW as a persistent always-on workflow with progress pings and durable memory

Use Case Generator Project Image
004

Multi-Agent

AWS Hosting

Client S3 Integration

AI Research

Education

Use Case Generator

Built a multi-agent workflow for a leading UK apprenticeship education provider that turns a single sentence of intent into a polished use case. The system researches the topic, drafts the content, refines it for brand voice, builds a working example, and suggests supporting visuals — turning a 1-day manual content task into a 10-minute automated one.

The app runs on AWS infrastructure that we host, but reaches directly into the client's own S3 bucket for the customer knowledge base — so editorial output stays grounded in the client's authoritative data without ever leaving their cloud. Editors submit ideas through GitHub issues with quality tiers (preview or production), and a six-step AI pipeline delivers polished, classroom-ready use cases with code examples, sourced research, and visual recommendations.

Our Process

01

Identify focused research questions from a one-line use case idea

02

Run deep web research to ground the content in current sources

03

Draft, refine, and polish the use case in the client's brand voice

04

Generate a working example and suggest supporting visuals — auto-published to GitHub

AI Agent Skills Project Image
005

Agent Skills

Claude SDK

Multi-Session Harness

Sandboxed Cloud

AI Agent Skills

Built a library of self-contained agent skills for TaskFox Factory using progressive disclosure design. Each skill bundles instructions, automation scripts, and reference docs that agents load on-demand—extending AI capabilities for specialized tasks without overwhelming context windows.

Developed multi-session orchestration enabling complex projects to span multiple agent sessions with state management. Used this approach to build complete applications—backend, frontend, and deployment—entirely through coordinated agent sessions in sandboxed cloud environments.

Our Process

01

Designed skills with progressive disclosure for efficient context usage

02

Built specialized agents optimized for different task complexities

03

Created multi-session orchestration with progress tracking

04

Deployed in sandboxed cloud environments with security best practices

AI Skills Assessment Project Image
006

AI Apprenticeships

Skills Assessment

Prompt Engineering

UK Education

AI Skills Assessment

Used AI to develop comprehensive assessment materials for UK apprenticeship programs focused on AI preparedness. Created multiple-choice quizzes, project-based assessments, and supporting resources including datasets and solution guides—all aligned with industry-relevant AI competencies.

Collaborated with a leading UK apprenticeship education provider to build assessments measuring learners' progress in AI skills from prompt engineering to data management. Applied AI-assisted research and prompt engineering throughout development to create accurate, job-relevant evaluation materials.

Our Process

01

Analyzed apprenticeship learning objectives and assessment strategies

02

Used AI to develop technically accurate multiple-choice questions

03

Created project briefs applying AI concepts to real-world scenarios

04

Designed datasets and solution guides for instructor support

Caregiver Training Project Image
007

Caregiver Training

Healthcare Education

LearnWorlds

Voice Automation

ElevenLabs

Caregiver Training

Building a professional caregiver training course on LearnWorlds for families and professionals supporting people with ALS. Five units, around 180 lessons, expert-reviewed source content covering foundation knowledge, activities of daily living, quality of life, and communication.

We handled LMS selection, curriculum architecture, and instructional design, plus the production pipeline that turns markdown source into LearnWorlds-ready HTML at scale. Narration is generated through a custom ElevenLabs voice workflow so the team can iterate on script changes in minutes instead of booking studio time.

Our Process

01

Consulted on LMS selection, curriculum structure, and revenue strategy

02

Designed a 5-unit curriculum with around 180 sequenced lessons

03

Built tooling that turns markdown source into LearnWorlds-ready HTML at scale

04

Generated natural ElevenLabs narration for video production through custom voice automation

AI Voice Production Project Image
008

Voice Tooling

ElevenLabs

Studio Production

Rapid Iteration

AI Voice Production

Built a custom ElevenLabs text-to-speech toolkit that turned a constraint into a creative win. Using AI voice meant our client could afford a professional film crew and full production studio for the live-action shoots, putting the voiceover budget toward picture quality.

The toolkit gave them what a traditional voice booking can't: rapid iteration on script changes — every revised line, regenerated in minutes. The voice sounds entirely natural to viewers. The result: studio-quality video within budget, on schedule, with a film team they wouldn't otherwise have hired.

Our Process

01

Explored voice candidates across many style variations to find the right fit

02

Built generation tools with preview and studio quality tiers for fast iteration

03

Wired configuration-driven workflows so script changes regenerate in minutes

04

Shipped studio-quality narration on schedule, freeing budget for film production

Marketing AI Guide Project Image
009

AI

Prompt Engineering

Marketing

Documentation

Training

Marketing AI Guide

Created "Prompting 101" for a boutique branding and marketing agency. The 11-chapter reference guide covers prompt fundamentals through advanced techniques including Chain-of-Thought, Few-Shot Learning, and XML-structured prompting.

Addresses 5 agency service areas: Brand Development, Marketing Strategies, Web & UX Design, Creative Production, and Research. Includes real client case studies and prompt templates for campaign briefs, creative briefs, and 4 audit types (brand, website, content, marketing).

Our Process

01

Mapped agency service offerings and deliverable types

02

Documented 7 foundational prompting techniques with examples

03

Created client-specific case studies and prompt templates

04

Built Python tools for AI-powered copyediting and processing

GitHub Copilot Curriculum Project Image
010

GitHub Copilot

E-learning

Curriculum Design

Prompt Engineering

GitHub Copilot Curriculum

Formulated comprehensive curriculum for four online courses teaching all GitHub Copilot skills for a leading apprenticeship education provider. Courses cover the complete Copilot capability set—from code completion and chat to test generation and code explanation—with hands-on projects building real developer proficiency.

Built all course content and projects to rigorous educational standards using advanced prompt engineering and context engineering techniques. Applied systematic AI-assisted workflows to ensure technical accuracy while maintaining pedagogical effectiveness across all four courses.

Our Process

01

Mapped complete GitHub Copilot feature set into teachable skill progressions

02

Designed four-course curriculum from fundamentals to advanced workflows

03

Built course content using advanced prompt and context engineering

04

Created hands-on projects meeting professional apprenticeship standards

Custom RAG Chatbot Project Image
011

RAG

Chatbot

FastAPI

Streamlit

ChromaDB

Custom RAG Chatbot

Built a RAG-based conversational AI with a full-stack web interface for domain-specific Q&A. The system combines a modern frontend with a FastAPI backend, using vector storage for semantic search across the client's knowledge base.

Ingested hundreds of website pages and video transcripts from the client's existing content. Users receive AI responses with source attribution and compliance disclaimers. Features resilient error handling and native authentication. Deployed to production cloud hosting.

Our Process

01

Scraped website pages and video transcripts from client's content

02

Built data pipeline with video platform integration and transcript processing

03

Created semantic search index for accurate knowledge retrieval

04

Deployed full-stack application with authentication and compliance features

TaskFox Studio Project Image
012

Alpine.js

Vanilla JS

SSE Streaming

Frontend

R&D

TaskFox Studio

Built a lightweight frontend for the TaskFox Factory API using Alpine.js and vanilla JavaScript. The single-page application features real-time chat streaming, voice input/output, session management, and intuitive discovery interfaces for skills, agents, and commands.

Zero build tooling or npm client dependencies—just modular ES6 code. Features include model selection, research mode toggle, image generation, and an events timeline. Serves as our in-house R&D playground for testing new TaskFox Factory capabilities.

Our Process

01

Designed lightweight component architecture with reactive state

02

Built real-time streaming handlers for chat and events

03

Created intuitive discovery UI for skills, agents, and commands

04

Integrated secure OAuth authentication flow

AWS Bedrock AgentCore Runtime Project Image
013

AWS Bedrock

AgentCore

Claude SDK

Serverless

Python

AWS Bedrock AgentCore Runtime

Built a Claude-backed Amazon Bedrock AgentCore runtime that bridges AWS's managed AI infrastructure with the Claude Agent SDK. The serverless deployment handles conversational AI agents with integrated memory, identity management, code execution, and browser automation capabilities.

The runtime integrates AWS Bedrock's memory services for conversation persistence across containers, plus code execution and web automation tools. Includes comprehensive test coverage and least-privilege IAM policies for secure production deployment.

Our Process

01

Integrated Claude Agent SDK into AgentCore lifecycle with streaming responses

02

Connected Bedrock Memory for conversation persistence across containers

03

Provisioned code execution and browser automation with session management

04

Deployed with observability dashboards and scoped IAM policies

Private Claude Workspace Project Image
014

AWS Bedrock

AgentCore

Cognito

S3

Private Hosting

Private Claude Workspace

Built and host a privately branded Claude workspace for a small team. Two functional lanes — one for strategy and positioning, one for campaign messaging — each backed by a Claude-powered assistant with access to a shared knowledge base of strategy docs, brand guides, and past deliverables.

Authenticated through AWS Cognito, project files persisted in S3, served through CloudFront, and powered by the Claude Agent SDK on Bedrock AgentCore. The team logs in to a privately branded chat interface and gets two AI experts who already know their voice, their brand, and their history — without ever standing up cloud infrastructure of their own.

Our Process

01

Mapped the team's two strategic lanes and the knowledge they each rely on

02

Stood up the AWS Bedrock AgentCore runtime with Cognito-based access for each team member

03

Ingested strategy docs, brand guides, and past deliverables into the shared knowledge base

04

Deployed a privately branded chat interface with project-scoped persistence in S3