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001
Custom AI Applications
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002
AI Agents and Automation
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003
AI Education and Training
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Private AI Deployment
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Build the AI tool the team actually needs: pipelines, chatbots, custom RAG over your own data, workflow automations. Production stacks shipped to clients, not demos.

Best For

  • Teams that need a working AI tool, not another proof-of-concept
  • Manual workflows (data entry, reporting, content) automated end-to-end
  • AI grafted onto legacy systems without taking them down
  • Custom RAG over your documents so answers come from what you actually know
  • FastAPI, Streamlit, or whatever stack you already run in production
  • Operational costs cut by targeting the workflows that actually benefit from AI

Key Features

  • FastAPI and Streamlit web apps shipped to production for client work
  • Custom RAG over your data with vector search and citation grounding
  • Multi-vendor LLM routing via LiteLLM and Bedrock (Claude, Gemini, OpenAI)
  • Caching and cost monitoring baked in so spend does not surprise you
  • Secure deployment patterns (Cognito SSO, S3 encryption) when the data demands it
  • Skills-based architecture so the system grows with the work, not against it

See it in production: SWOT Analysis · Custom RAG Chatbot · TaskFox Factory · TaskFox Studio

Multi-agent systems that reason, research, and execute complex workflows. Built on Claude Agent SDK, Google ADK, and AWS Bedrock AgentCore. We have shipped 9-agent ADK pipelines for clients and run a multi-agent harness internally every day.

Best For

  • Multi-step workflows that need reasoning, not just rule-following
  • Domain-specific agents for research, content, analysis, and decision support
  • Multiple AI models coordinated in a single production pipeline
  • Reusable agent skills with progressive disclosure (metadata, instructions, scripts)
  • Long-running sessions that hold state across days, not minutes
  • Sandboxed cloud deployment with defense-in-depth security

Key Features

  • Claude Agent SDK, Google ADK, AWS Bedrock AgentCore implementations
  • Multi-agent harnesses (Agent Team, Task Loop, RLM) for parallel execution
  • Skills with progressive disclosure plus persistent cross-session memory
  • State management and regression testing across long-running sessions
  • Context engineering and Haiku, Sonnet, Opus routing per agent role
  • Cross-vendor council patterns (Claude plus Codex plus Gemini) for high-stakes calls

See it in production: Use Case Generator (9-agent ADK) · Agent Skills System · Agent Harnesses · AWS Bedrock AgentCore Runtime

Custom curricula, AI content pipelines, and narration that does not sound like a robot. We have shipped caregiver training, GitHub Copilot curricula, and AI skills assessments. Not slide decks.

Best For

  • Custom curricula for AI literacy, prompt engineering, and tool mastery
  • Specialized training for healthcare, technical skills, and regulated domains
  • LMS integration (LearnWorlds, custom Streamlit, standalone web) wired to AI content pipelines
  • Multilingual narration via ElevenLabs for video and audio coursework
  • Course content that updates as the underlying AI tools update
  • Higher engagement through AI personas and dynamic narration

Key Features

  • Custom course design (microlearning, scenario-based, hands-on labs)
  • AI content pipelines for lessons, quizzes, scripts, and assessments
  • AI narration via ElevenLabs in production-grade and fast-preview modes
  • Multi-AI persona simulations for diverse perspectives in training
  • LMS integration tested with LearnWorlds and custom web stacks
  • Curriculum that ships with real client volume across multiple shipped programs

See it in production: AI Skills Assessment · GitHub Copilot Curriculum · Caregiver Training · AI Voice Production · VoiceFox

Self-hosted or cloud-isolated AI for organizations that cannot put their data on shared infrastructure. Built for aerospace, healthcare, defense, and any industry where the data has to stay where it lives.

Best For

  • Aerospace, healthcare, defense, and other regulated industries
  • Organizations whose data cannot leave private cloud or on-prem
  • Teams needing SSO and granular access controls (Cognito, OIDC, SAML)
  • Existing AWS or Azure footprint that needs AI added, not a new vendor
  • Compliance requirements (HIPAA, GDPR, ITAR-adjacent) that ban shared APIs
  • Internal AI workspaces for sensitive R&D, legal, and engineering teams

Key Features

  • AWS Bedrock AgentCore runtime as the standard production foundation
  • Cognito identity, S3 storage, CloudFront delivery, IAM least-privilege
  • Private Claude workspace pattern shipped for an aerospace client
  • Persistent memory, code execution, and browser automation running inside your private perimeter
  • Observability dashboards and audit trails wired in from day one
  • Defense-in-depth security baked into deployment, not bolted on after

See it in production: Private Claude Workspace · AWS Bedrock AgentCore Runtime · Custom RAG Chatbot