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Client Work

Custom workflows, programs, and agentic applications we built so clients could finish high-quality work faster. Each project below is something a client paid us to build and uses today. The infrastructure underneath — skills, harnesses, agent patterns — gets prototyped in The Workshop before it ships here.

AI-Powered SWOT Analysis Project Image
01

AI

FastAPI

LiteLLM

Survey Analysis

Non-Profit

AI-Powered SWOT Analysis

Built a multi-stage AI pipeline that turns 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.

Built-in PII protection, checkpoint/resume so the pipeline won't choke on big datasets, and actionable "How Might We" questions on the way out. The workflow replaces manual spreadsheet review with repeatable API processing and consistent, data-driven outputs.

Our Process

01

Analyzed the client's manual SWOT workflow to identify automation opportunities

02

Designed multi-stage AI pipeline with privacy protection built in

03

Built checkpoint/resume processing to handle large survey datasets reliably

04

Delivered production-ready API with full test coverage

Use Case Generator Project Image
02

Multi-Agent

Google ADK

Gemini

AWS

UK Apprenticeship Education

Use Case Generator

A UK apprenticeship education provider needed to turn one-line use case ideas into polished, classroom-ready content — fast. We built them a multi-agent workflow that handles it end-to-end. An editor submits an intent through the web UI; a fast clarifier asks targeted follow-up questions; nine ADK agents pick up from there — clarifying the query, running grounded research, drafting and polishing the outline, authoring the use case, and live-testing the walkthrough through the actual AI tool the lesson teaches.

The final draft auto-commits to a dated GitHub branch with full provenance. Hosted on AWS but reaches into the client's own S3 bucket for the customer knowledge base, so editorial output stays grounded in their authoritative data without ever leaving their cloud.

Our Process

01

Stage 0 fast clarifier (Gemini structured output) gates clarification before the heavier pipeline runs

02

Nine ADK-orchestrated agents: research, outline, draft, walkthrough with live AI-tool calls, final polish

03

Dual-bucket S3 design: tool KB and customer KB, each with its own search interface

04

Auto-publishes to dated GitHub branches with intake metadata, artifacts, and commit trail

AI Skills Assessment Project Image
03

AI Apprenticeships

Skills Assessment

Prompt Engineering

UK Apprenticeship Education

AI Skills Assessment

Used AI to develop 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 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

GitHub Copilot Curriculum Project Image
04

GitHub Copilot

E-learning

Curriculum Design

UK Apprenticeship Education

GitHub Copilot Curriculum

Formulated online course curriculum teaching GitHub Copilot skills for a leading apprenticeship education provider. Courses cover practical Copilot workflows — code completion, chat, test generation, code explanation — with hands-on projects building real developer proficiency.

Built the course content and projects using prompt engineering and context engineering techniques. Applied systematic AI-assisted workflows to ensure technical accuracy while maintaining pedagogical effectiveness across the curriculum.

Our Process

01

Mapped the complete GitHub Copilot feature set into teachable skill progressions

02

Designed curriculum from fundamentals to advanced workflows

03

Built course content using prompt and context engineering techniques

04

Created hands-on projects meeting professional apprenticeship standards

Caregiver Training Project Image
05

LearnWorlds

Healthcare Education

ElevenLabs

Markdown Pipeline

Caregiver Training

A caregiver training course on LearnWorlds for families and professionals supporting people with ALS. Five units across foundation knowledge, activities of daily living, quality of life, communication and support, and conclusion — built from expert-reviewed source material.

We handled LMS selection, curriculum architecture, and instructional design, plus the production pipeline that turns markdown source into LearnWorlds-ready HTML at scale. Working around a real LearnWorlds quirk: the OAuth API can create courses and units but can't update page content — so we built browser-console utilities to bridge the gap. Narration is generated through a custom ElevenLabs voice workflow (see Voice Production) 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

Built lw_ebook_generator.py to convert markdown into LearnWorlds Page Builder HTML at scale

03

Built course_timing_inventory.py to track current vs planned content (catches gaps deterministically)

04

Generated natural ElevenLabs narration for video production through a configuration-driven voice workflow

AI Voice Production Project Image
06

ElevenLabs

Studio Production

CLI Toolkit

Rapid Iteration

AI Voice Production

Built a custom ElevenLabs text-to-speech toolkit for a client whose voiceover budget was eating into their picture quality. AI voice freed up the budget for a professional film crew and full production studio for the live-action shoots.

The toolkit gives them what a traditional voice booking can't: rapid iteration on script changes — every revised line, regenerated in minutes, voice consistency maintained across long-form content via request stitching. 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

Ran controlled voice variation sweeps via yag-voice-variations to find the right fit

02

Built two quality tiers — preview (eleven_turbo_v2_5) for fast iteration, studio (eleven_multilingual_v2) for final

03

Wired seed-based deterministic generation so reruns are reproducible

04

Configuration-driven so script changes regenerate in minutes, not hours

Custom RAG Chatbot Project Image
07

RAG

Streamlit

FastAPI

Healthcare

Source Citations

Custom RAG Chatbot

Built a RAG-based conversational AI for a healthcare client whose users needed answers grounded in their existing content — website pages, video transcripts, expert-reviewed source material — with proper source attribution and clear educational-only framing.

Streamlit frontend with native session-state auth (no third-party login libraries to babysit), FastAPI backend with vector search over the ingested knowledge base, deployed to managed cloud hosting. Every response cites the source URL it came from. Resilience built in — exponential-backoff retries, circuit breaker for the AI calls, friendly error pages when something downstream is down.

Our Process

01

Ingested website pages and video transcripts into a searchable vector index

02

Streamlit UI matched to the client's exact brand identity (custom CSS, custom fonts)

03

Native auth via Streamlit session state — no third-party dependencies

04

Source citations on every response, plus always-visible educational disclaimer

Marketing AI Guide Project Image
08

AI

Prompt Engineering

Marketing

Documentation

Training

Marketing AI Guide

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

Addresses agency service areas including brand development, marketing strategy, web and UX design, creative production, and research. Includes real client case studies and prompt templates for campaign briefs, creative briefs, and common audit workflows.

Our Process

01

Mapped agency service offerings and deliverable types

02

Documented foundational prompting techniques with examples

03

Created client-specific case studies and prompt templates

04

Built Python tools for AI-powered copyediting and processing

Private Claude Workspace Project Image
09

AWS AgentCore

Cognito

S3

CloudFront

Aerospace

Private Claude Workspace

Built and host a privately branded Claude workspace for a small aerospace team. Two functional lanes — one for brand and business strategy, one for marketing and communications — 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 AgentCore Runtime. The team logs into a privately branded chat interface and gets two AI experts who already know their voice, their brand, and their history — without standing up cloud infrastructure of their own.

Our Process

01

4 authenticated users across 2 functional lanes

02

AWS AgentCore + Cognito + S3 + CloudFront, with project-scoped session discovery and resume flows

03

Knowledge base seeded with strategy docs, messaging frameworks, and past content & deliverables

04

Custom-branded chat interface — not another generic AI tool to white-label

AI Coaching Mentorship Project Image
10

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