Custom AI copilots integrated into your tools, your data, your workflow. Not a generic chatbot — an AI that understands your domain and amplifies your team. Built with Claude, OpenAI, and MCP protocol.
A context-aware AI that lives where you work, knows what you're doing, and helps without being asked. Like GitHub Copilot, but for your specific domain.
Custom coding assistants for your specific codebase, tech stack, and conventions. Beyond generic GitHub Copilot — trained on your patterns.
Domain-specific writing assistants — marketing copy in your voice, technical docs matching your standards, legal drafts with your patterns.
Natural language to SQL, data exploration assistants, report generators. Your team asks questions in English, gets analysis back.
AI that helps your support team — not replaces them. Suggests responses, finds relevant docs, drafts replies. 3-5x agent productivity.
AI trained on your internal docs, wiki, Slack history. Your team asks "how do we handle X?" and gets the real answer from your actual practices.
Embedded in your tools (CRM, project management, internal apps). Suggests next actions, fills forms, updates statuses proactively.
I've built AI copilots for both consumer apps and enterprise scenarios.
Consumer-facing AI copilot for personalized nutrition. Understands user goals, tracks progress, provides daily guidance. Embedded in mobile app.
See it live →Specialized copilot for Turkish cuisine. 1,400+ local foods, cultural context, personalized guidance in Turkish. Production app.
See it live →Generic Copilots (ChatGPT, Claude, GitHub Copilot) are great but don't know your domain. Custom copilots trained on your data provide 10x more value for your specific work.
Your copilot lives inside your tools — Slack, internal apps, IDE — not in another browser tab. Zero friction, always available.
Your data stays where you want. I can build copilots that never send sensitive data to external APIs. On-premise options available.
I track the productivity gains. Time saved, errors prevented, faster onboarding. You see the ROI, not just "AI is cool".
You can for generic tasks. But ChatGPT doesn't know your codebase, customers, or company context. A custom copilot does — it's trained on your data, integrated into your tools, and optimized for your team's specific work. Much higher productivity gains.
Simple focused copilot: 4-8 weeks. Full-featured integrated copilot with multiple data sources: 2-4 months. Enterprise-grade copilot with training, monitoring, and admin tools: 4-6 months.
Initial build: $15,000-80,000 depending on complexity. Ongoing costs: hosting + LLM API usage (typically $200-2,000/month for small teams). I provide detailed cost modeling.
Adoption is the make-or-break. I design copilots that feel natural to use — right inside tools people already use daily. I also help with team training and rollout. Most copilots I've built see 60-80% daily usage within 2 weeks.
Yes. I integrate with Slack, Microsoft Teams, GitHub, GitLab, Jira, Notion, custom internal tools. The MCP protocol makes many integrations straightforward. Unusual integrations take extra work but are almost always possible.
Free consultation. Let's discuss where your team loses the most time, and I'll design a copilot to give it back. No obligation, honest assessment.
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