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Tool-Using Systems
01

AI Agents & Automations

Custom AI agents that use tools, connect with business systems, and complete multi-step work with explicit limits and observable behavior.

Deliverables

  • Workflow and tool-boundary definition
  • Agent orchestration and state design
  • Approved API, database, and platform integrations
  • Structured outputs, validation, and fallback paths
  • + 2 more
Source-Grounded Answers
02

RAG & AI Knowledge Systems

Turn scattered documents, policies, catalogs, support content, videos, and internal records into source-linked answers people can inspect.

Deliverables

  • Source and access-model audit
  • Ingestion, cleaning, chunking, and update pipeline
  • Search, retrieval, reranking, and citation design
  • Answer generation with evidence and fallback behavior
  • + 2 more
Backend Systems
03

API Development

FastAPI and Next.js backends, background workers, data pipelines, webhooks, and third-party integrations for products that need a dependable application layer.

Deliverables

  • API and data-contract design
  • Validated endpoints and authentication
  • Database models and migrations
  • Background jobs, queues, or scheduled work
  • + 2 more
Product Engineering
04

Full-Stack SaaS Development

End-to-end AI products, SaaS features, dashboards, APIs, and custom business software across the interface, backend, data, integrations, and deployment.

Deliverables

  • Product and technical scope
  • Interface, application, and responsive behavior
  • API, database, authentication, and permission model
  • AI workflow or model integration where useful
  • + 2 more
Real-Time Conversation
05

Voice AI Agents

Voice agents for web and phone experiences, built around streaming conversation, interruption handling, approved tools, and clear escalation paths.

Deliverables

  • Conversation, interruption, and escalation design
  • Streaming speech and agent pipeline
  • Approved tools and backend integrations
  • Session state, validation, and fallback behavior
  • + 2 more
Technical Direction
06

AI Consulting

Technical guidance for choosing an AI use case, testing feasibility, shaping architecture, and deciding what should be built, bought, automated, or left alone.

Deliverables

  • Focused discovery and workflow map
  • Feasibility and constraint analysis
  • Architecture or integration recommendation
  • Build-versus-buy tradeoff summary
  • + 2 more
Conversational Products
07

AI Chatbots

AI chatbots for customer support, ecommerce, onboarding, and internal help—grounded in approved information and connected to the right product workflows.

Deliverables

  • Conversation and escalation design
  • Knowledge and retrieval integration where needed
  • Product, catalog, account, or workflow integrations
  • Embeddable or in-product chat interface
  • + 2 more
Technical Product Stories
08

Landing Page Design & Development

Distinctive landing pages for technical products and startups, combining clear positioning, responsive implementation, purposeful motion, and a sound search foundation.

Deliverables

  • Positioning and information hierarchy
  • Page narrative, semantic headings, and CTA structure
  • Custom responsive interface in Next.js
  • Purposeful interaction and motion design
  • + 2 more

Common Questions

What kinds of AI and software projects do you take on?

I focus on tool-using AI agents, customer and internal chatbots, knowledge systems over private business content, full-stack AI products and custom software, APIs and dashboards, and technical product landing pages.

Can I see working examples?

Yes. The Projects section includes client work and independent builds, and the AI assistant on this site is itself a live project. The case studies cover the product, architecture, scope, and implementation decisions.

How does a project start?

Start with the current problem, workflow, users, constraints, and useful result. A polished specification is not required. I will ask focused questions, then suggest a practical scope or a discovery step if important decisions are still unresolved.

Do you only work on large projects?

No. Fit depends on whether the problem is real, the scope is feasible, communication is clear, and the work can create useful value. A focused feature, integration, or page can be a good engagement when it has a clear outcome.

Do you provide post-launch help?

Ongoing improvements, integrations, maintenance, or a defined embedded engagement can be discussed when the product needs continued work. The responsibilities and period are agreed explicitly rather than assumed.

Need something built around your real workflow?

See how discovery, scope, implementation, verification, and handoff work before starting a project.

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