Bespoke AI Agents
Purpose-built agents that handle complex tasks autonomously — from customer communication to internal operations to data analysis.
AI built specifically for how your business works
Off-the-shelf AI tools give you 60% of what you need and zero of what makes you different. We build custom Claude implementations that connect your specific systems, automate your specific workflows, and think the way your team thinks.
Why Custom Beats Generic
3-10x
ROI vs off-the-shelf AI tools
60%
of AI projects fail from poor implementation
80%
of value comes from business-specific customization
2-4 wks
from kickoff to working prototype
What We Build
Your business logic, encoded in AI
Every implementation is built from scratch for your business — your data, your workflows, your competitive advantages.
API Integrations
Connect Claude to your existing tools: CRMs, ERPs, scheduling systems, databases, communication platforms, and custom internal tools.
Multi-System Orchestration
Agents that coordinate across multiple systems — pulling data from one, making decisions, and taking action in another.
Custom Tool Development
Build Claude tools tailored to your domain: document processing, data extraction, classification, routing, and more.
Prompt Engineering
Expert prompt design that captures your business knowledge, decision frameworks, and communication style.
Ongoing Optimization
AI that gets smarter over time. Monthly reviews, prompt refinement, and new capability development.
Why Whitmore
What makes this different from ChatGPT and a prayer
Built by an Engineer, Not a Prompt Jockey
Eugene has scaled startups to $200M+ and built production AI systems. This isn't someone who learned AI from YouTube — it's a senior engineer who builds what he ships.
Anthropic Partner
Direct relationship with Anthropic, Claude's creator. Access to latest models, dedicated support, and enterprise features before they're publicly available.
You Own Everything
No vendor lock-in. You own the code, the prompts, the agents. We build it, hand it over, and maintain it — but it's yours.
Implementation, Not Just Advice
We don't write a PDF and walk away. We build the system, integrate it, train your team, and optimize it monthly.
What You Get
Full custom implementation, start to finish
- AI operations audit: map every workflow and identify automation opportunities
- Custom agent architecture designed for your specific business
- API integrations with all your existing tools and systems
- Multi-system orchestration for complex workflows
- Expert prompt engineering capturing your business knowledge
- Team training and onboarding
- Documentation and runbooks
- Ongoing optimization and monthly reviews
- Direct access to Eugene — no junior devs, no handoffs
FAQ
Common questions
How long does a custom build take?
Most implementations go from kickoff to working prototype in 2-4 weeks. Full production deployment typically takes 4-8 weeks depending on complexity and number of integrations.
What can Claude actually do?
Claude can read and write documents, analyze data, make decisions based on complex criteria, communicate with customers, orchestrate multi-step workflows, and integrate with any system that has an API. If a human can do it at a computer, Claude can probably help.
Do you maintain it after launch?
Yes. Every implementation includes ongoing optimization — monthly reviews, prompt refinement, new capability development, and priority support. The AI gets smarter over time.
How is this different from ChatGPT?
ChatGPT is a chat window. What we build are autonomous agents that connect to your systems, run workflows, and take action — not just answer questions. Think employee, not search engine.
What about our existing tools?
We integrate with everything you already use. CRMs, ERPs, scheduling systems, communication tools, databases — Claude connects to all of them via API.
Let's build something that actually works for your business.
Book a free AI operations audit. We'll map your workflows, identify the highest-impact automation opportunities, and show you exactly what a custom implementation would look like.