PRODUCT FEATURES, PROTOTYPES, AND WORKFLOW AGENTS

AI Agent Development

I build AI features for software products and agents for repeatable work. The scope begins with real examples, expected output, available data, and the actions the system may take.

Discuss your app
BUILT FORProducts adding search, generation, transcription, analysis, or an assistantTeams with a repetitive, document-heavy, or multi-tool workflowCompanies that need private knowledge retrieval and controlled tool useExisting AI prototypes that need testing, reliability, and monitoring

WHAT IS INCLUDED

Product work through
public release.

01

Workflow definition

A defined objective, boundaries, tool contract, state, escalation path, and human handoff before implementation.

02

Tools and integrations

APIs, databases, documents, internal services, browser actions, MCP servers, and approval checkpoints.

03

Knowledge and memory

RAG, structured context, retrieval quality, permissions, and memory designed for the actual domain.

04

Test cases and evaluations

Representative cases, pass criteria, failure analysis, regression checks, and staged permissions.

05

Security and control

Least-privilege access, audit trails, cost limits, safe retries, and human approval for consequential actions.

06

Monitoring and handoff

Deployment, traces, model routing, latency and cost tracking, iteration, and written system documentation.

TECHNOLOGY

Selected for the app.

OpenAIAnthropicFoundation ModelsMCPRAGTypeScriptPythonCloudflare
RELATED PRODUCT WORKMurmur MCP toolsAudioPage document chatLocal speech and retrieval products

RELATED WORK AND NOTES

Apps and engineering
decisions.

COMMON QUESTIONS

Scope and delivery.

Do you train a custom model for every agent?+

Usually not. Most production value comes from the right workflow, context, tools, permissions, and evaluation. Fine-tuning or adapters are used only when testing shows they are justified.

Can you add AI to an existing app?+

Yes. The work can be a focused product feature such as transcription, document analysis, search, generation, or an assistant. I can use local models, cloud APIs, or a hybrid approach.

What is a good first agent project?+

A frequent, bounded workflow with accessible inputs, a clear human owner, and a result you can check. Examples include document intake, support classification, research, or report preparation.

Will the agent run fully autonomously?+

I begin with observation or drafted actions, keep a human approval step, and expand permissions only after the workflow performs reliably on representative cases.

DISCUSS THE PROJECT

Bring the idea,
prototype, or app.

I’ll review the starting point and tell you whether the work fits the studio.

Book a product call