Build AI systems
that do real work.
I design and build AI products, automation systems, and internal tools that connect data, business rules, integrations, and human review. The goal is simple: reduce repetitive work, improve decision quality, and help your team move faster with more clarity and control.
I build for Three Types of Clients. One Build Standard.
Founder With an Idea
You have a product idea, a clear problem, or an early opportunity. I help turn it into a working product, from strategy and UX to AI functionality, automation, and deployment.
Existing Product Adding AI
Your product is already live, but it needs smarter workflows, AI features, or automation. I help add intelligence without disrupting the product foundations that already work.
Business Needing an Internal Tool
Your team needs a custom internal tool to reduce manual work, connect data, support decisions, or automate repeatable workflows, built around how your business actually operates.
Is This Right For You?
You Need Strategy
- You have an idea but don’t know the technical feasibility
- You’re not sure which AI models fit your business case
- You need a prototype or design to raise funding
- You want to audit an existing product for AI opportunities
You Need a Full Build
- You have a validated idea and are ready to launch
- You need a production-ready product for paying users
- You want to transition from a messy prototype to a clean stack
- You need a long-term partner to handle the roadmap
What I Build
AI Chatbots & Virtual Assistants
AI chatbots that answer questions using your actual business knowledge, not generic scripted responses. They can search your website, documents, FAQs, policies, service details, pricing information, and internal knowledge base to give customers fast, helpful answers.
These assistants can qualify leads, recommend the right service, collect important details, book meetings, and route complex requests to the right person when human support is needed.
Where this helps most
Businesses that answer the same questions every day, such as pricing, availability, services, order status, appointment scheduling, policies, or basic support requests.
Instead of your team spending hours replying to repetitive messages, an AI assistant can handle common questions instantly, collect the right information, and pass only the more complex or high-value conversations to your team.
Workflow Automation
Automation systems that move work between tools, teams, and steps without constant manual follow-up. This can include intake forms, document review, approvals, notifications, data updates, task creation, reporting, and handoffs between people or systems.
Instead of copying information from one place to another, chasing status updates, or repeating the same operational steps every day, the workflow runs in the background and keeps the right people informed.
Where this helps most
Businesses with repeatable processes that depend on manual coordination, copy-paste work, status checks, approvals, or moving information between disconnected tools.
For example, a workflow can collect a request, organize the details, update the right system, notify the right person, create follow-up tasks, request approval, and generate a summary, without someone manually managing every step.
Multi-Agent Orchestration
Multi-agent systems that coordinate different AI agents to complete complex business workflows. Instead of using one assistant for everything, each agent can focus on a specific job, such as research, document review, data analysis, customer communication, task routing, or system updates.
The orchestration layer manages the workflow, keeps context between steps, decides which agent should handle each task, and makes sure handoffs happen smoothly. This is useful when a business process has multiple steps, different systems, and decisions that need to happen along the way.
Where this helps most
Businesses with processes that require multiple steps, different types of work, and coordination across people, tools, and systems.
For example, a multi-agent workflow could review an incoming request, extract key information, check documents, update a CRM, draft a response, notify the right person, and ask for human approval before anything is sent or finalized.
AI Marketing Automation
AI-powered marketing systems that help plan, create, schedule, and measure content across social media, email, and campaign channels. The system can research topics, find content ideas, draft posts, create email campaigns, repurpose long-form content, schedule publishing, and track what is performing.
Instead of starting from a blank page every day, your marketing workflow can run on a repeatable schedule, helping you stay consistent, respond faster to trends, and turn ideas into published content with less manual effort.
Where this helps most
Social media marketers, creators, agencies, and small businesses that need to publish consistently but do not have enough time to research, write, schedule, and analyze everything manually.
For example, an AI marketing workflow can research weekly topics, generate post ideas, draft captions, create email content, prepare campaign variations, schedule posts, collect performance data, and summarize what worked so the next round of content gets better.
MCP Servers for AI Agents
MCP servers that expose company tools, APIs, data, and workflows to AI agents and coding agents in a controlled way. This allows agents to perform real business tasks, such as searching internal systems, updating records, creating tickets, generating reports, checking policies, or triggering approved workflows.
Instead of every agent needing custom integrations, an MCP server creates a standard way for AI systems to understand what tools are available, how to use them, and what actions are allowed.
Where this helps most
Businesses that want AI agents or coding agents to work with internal systems, not just generate text or code.
For example, a coding agent could access approved developer tools, read internal documentation, check API specs, create implementation tasks, validate changes, or trigger deployment checks. A business agent could look up customer data, create support tickets, prepare reports, update records, or route work to the right team.
The MCP server acts as the bridge between the agent and the business systems, giving agents useful capabilities while keeping access, permissions, and business rules under control.
AI-Ready Web & Shopping Experiences
Web experiences that let AI assistants understand and interact with your website, product catalog, services, and customer workflows. For online retailers, this can turn a standard ecommerce site into a more helpful shopping experience where customers can ask questions, compare products, get recommendations, check availability, and move closer to purchase.
Instead of forcing users to search through pages, filters, and product descriptions on their own, the AI experience helps guide them to the right product, answer questions, and support the buying decision.
Where this helps most
Online retailers, ecommerce brands, SaaS companies, marketplaces, service businesses, and websites with large catalogs, many options, or complex customer decisions.
For example, a customer could ask for the best product for their needs, compare options, check sizing or compatibility, understand return policies, find related products, or get help completing a purchase. The same approach can also help SaaS users understand features, choose the right plan, start onboarding, or complete common actions inside a web application.
Competitive Intelligence Agents
AI agents that research competitors, monitor market signals, analyze positioning, and turn scattered information into useful business insight. The system can track competitor websites, product updates, pricing pages, messaging, customer reviews, job postings, release notes, content, and public signals on a repeatable schedule.
Instead of manually checking dozens of sources, the agent collects the information, summarizes what changed, highlights important patterns, and helps teams understand where competitors are moving and what actions may be needed.
Where this helps most
Businesses that need to understand competitors, market trends, pricing changes, customer sentiment, or product positioning but do not have time to manually research everything every week.
For example, a competitive intelligence agent can monitor competitor websites, detect messaging changes, summarize new features, compare pricing, review customer feedback, identify content themes, and generate a weekly report with key changes, risks, and opportunities.
AI Lead Qualification & Sales Assistants
AI assistants that help capture, qualify, and follow up with leads before they go cold. The system can answer early questions, collect customer details, understand the customer's needs, recommend the right service or product, and route serious opportunities to the right person.
Instead of manually replying to every inquiry, the assistant can handle the first conversation, identify high-quality leads, prepare a summary, and help your team respond faster with the right context.
Where this helps most
Businesses that receive inquiries through their website, email, chat, forms, social media, or ads, but do not always have time to respond quickly or qualify every lead manually.
For example, an AI sales assistant can ask the right questions, capture budget, timeline, service needs, location, company size, or project details, then create a lead summary, update a CRM, send a follow-up email, book a meeting, or notify the right salesperson.
Works with your existing tools
Connect your AI workflows to the platforms your team already uses.
