Different problems need different levels of software.
Sometimes a workflow can be solved with automation.
Sometimes you need an API.
Sometimes you need an AI agent.
Sometimes you need an application.
I work across those layers instead of forcing every problem into one platform.
- 01
AI Automation
Turn repetitive operational work into reliable workflows.
- Business Process Automation
- Workflow Orchestration
- AI-Assisted Workflows
- AI Agents
- CRM Automation
- Lead Workflows
- 02
Full-Stack Development
Build applications, dashboards, portals, and internal systems around the actual workflow.
- Internal Tools
- Admin Dashboards
- SaaS MVPs
- Customer Portals
- Analytics Applications
- Workflow Interfaces
- 03
AI Systems & Agents
Connect LLMs and agents to real data, APIs, tools, and processes.
- LLM Integrations
- AI Agents
- Tool Calling
- Structured Outputs
- Workflow Orchestration
- RAG
- 04
APIs & Integrations
Make disconnected platforms behave like one system.
- REST APIs
- Webhooks
- HTTP Requests
- Custom APIs
- Authentication
- Data Synchronization
- 05
Analytics & Dashboards
Turn operational data into something people can actually use.
- Executive Dashboards
- Internal Dashboards
- Campaign Analytics
- Workflow Monitoring
- Marketing Analytics
- Recruitment Analytics
- 06
Infrastructure & Deployment
Deploy and operate the systems behind the application.
- Google Cloud Platform
- Google Cloud Run
- GCP Compute Engine
- Coolify
- Docker
- Linux
Not sure which of these you need?
Can this be automated?
Four quick answers and you'll see a rough sketch of how it could work. No email address needed, and nothing you pick leaves this page.
A possible starting point
Answer the questions and a rough sketch of the workflow appears here. Four to go.
A possible starting point
A hypothetical sketch from fixed templates, not an analysis. We'd need to check your specific tools, permissions and exceptions before building it.