AI agent, automation, app, website, and database development
I build AI agents, RAG knowledge-base chatbots, workflow automations, database-backed apps, dashboards, API integrations, and websites that help teams move faster without losing control.
Bring me the process that is slow, repetitive, hard to search, or trapped across spreadsheets and tools. I will turn it into a practical software plan and a working AI-enabled system.
AI solutions developer
AI is most useful when it is tied to real work: customer questions, documents, databases, approvals, reporting, follow-up, research, and operations. I help plan and build the systems behind that work, from the user-facing app to the data model, automation layer, and AI assistant behavior.
Services
Practical AI work usually combines software engineering, data architecture, automation, and clear user experience. These services cover the high-value systems businesses are asking for now.
Custom AI agents that can reason through a workflow, call tools, update systems, draft outputs, and hand off to people when judgment or approval is required.
Retrieval-Augmented Generation systems that answer from your approved documents, policies, websites, manuals, records, or database content.
Automations for repetitive business processes such as intake, lead follow-up, document review, scheduling, reporting, CRM updates, and support triage.
Custom software for teams that need clean records, searchable data, management dashboards, imports, permissions, reporting, and reliable operational workflows.
Connect the tools your business already uses so data moves correctly between systems and staff do not have to copy information by hand.
High-performing websites and web apps with clear service pages, SEO metadata, analytics, lead capture, useful AI features, and maintainable content workflows.
Applications that use large language models for drafting, summarization, classification, research, search, extraction, document generation, and decision support.
A grounded roadmap for what to automate, which data sources matter, which tools are safe to connect, and what should be built first.
Engagements
Start with a focused engagement that turns a broad AI idea into a useful system your team can test, trust, and improve.
01 / Discover
Identify where agents, RAG, automation, better data, or a focused app can remove friction. Best for teams that know a process is inefficient but need a practical roadmap.
Request an audit02 / Build
Design and build a working product: an AI agent, RAG chatbot, database-backed dashboard, customer app, internal tool, or conversion-focused website.
Start a build03 / Improve
Improve an existing site, database, or application with AI features, API integrations, automation, analytics, better performance, and maintainable update routines.
Modernize a systemProof
AI website and lead system
Combines SEO-ready content structure, analytics, performance tuning, lead capture, and optional AI-guided intake that helps prospects explain what they need.
AI operations app
Useful for inventory, scheduling, compliance, job tracking, quoting, field operations, and AI-assisted reporting.
RAG assistant
Useful for policy questions, meeting summaries, document drafting, intake notes, research, and human-reviewed reports.
Integration foundation
Bring together information from CRMs, accounting, HR, forms, records, files, and industry systems into dashboards and workflows.
AI implementation
Use approved documents, databases, vector search, and APIs so assistants answer from known business context.
Connect assistants to calendars, CRMs, forms, files, reports, internal tools, and line-of-business systems.
Summarize meetings, draft reports, extract structured data, prepare follow-ups, and flag items for human review.
Route uncertain, sensitive, or high-value decisions to people instead of pretending AI should run without guardrails.
Track usage, lead quality, resolved questions, handoffs, errors, performance, and content gaps after launch.
Industries
Approach
Clarify users, process pain, data sources, approvals, risks, success metrics, and the fastest useful first release.
Map user journeys, screens, database entities, retrieval sources, tool calls, permissions, and human handoff rules.
Implement the interface, database, API integrations, prompts, RAG retrieval, function calling, tests, and deployment workflow.
Launch with analytics, evals, logging, performance checks, backups, update routines, and a practical improvement backlog.
Search terms
AI agent developer, AI automation consultant, agentic AI developer, workflow automation developer, business process automation, AI operations automation.
RAG developer, retrieval augmented generation consultant, knowledge base chatbot, custom chatbot developer, vector database search, AI assistant for documents.
Custom LLM app developer, API integration developer, database app developer, dashboard developer, AI website developer, internal tools developer.
Questions
An AI agent is software that uses a language model, instructions, tools, and approved data sources to complete a defined workflow. A useful business agent might research a lead, draft a reply, update a CRM, create a report, or route an exception to a person.
Retrieval-Augmented Generation (RAG) connects an AI assistant to approved documents, database records, website content, manuals, or knowledge bases. The assistant retrieves relevant context before answering, which helps reduce unsupported answers and keeps responses tied to your business information.
Yes. AI systems can connect to databases, CRMs, calendars, forms, file storage, reporting tools, and other APIs. The important work is designing permissions, logging, error handling, and human review before the AI is allowed to take action.
A chatbot usually answers questions or guides a conversation. An AI agent can also use tools, retrieve data, follow multi-step instructions, and perform bounded actions such as drafting, classifying, summarizing, updating records, or triggering workflows.
Reliable AI systems are scoped to specific tasks, grounded in approved sources, tested against real scenarios, monitored after launch, and designed with fallback behavior. Sensitive or uncertain work should route to a human.
A website is best for visibility, credibility, content, and conversion. Automation is best when staff repeat the same digital steps. A custom app is best when users need records, permissions, dashboards, workflow states, or ongoing interaction with operational data.
Start here
Share the workflow, data source, customer experience, internal tool, website, or automation idea. I will help shape the right first step and identify what should be built first.