01
Individual productivity
Identify where AI can help with repetitive steps in research, writing, information management, or development. Build a workflow you can keep using.
Tools / Automation / Agent prototypes
AI Workflow Consulting
AI workflow consulting for individuals and teams. Start with a task you already do, compare tools and models, and test a knowledge base or AI agent prototype before committing to a wider rollout.
Discuss your workflow01 / Use cases
Start with a problem worth solving
02
Team workflows
Map how information moves between people and tools. Define what AI can handle, where people should review the output, and what access the tools need.
03
Product validation
If you are considering a knowledge base, an AI agent, or another AI product, test a core use case and assess its results, cost, and feasibility.
02 / Deliverables
A plan you can put to work
Document the current steps, where time goes, which problems to address first, and how to measure improvement.
Compare options by task quality, cost, data requirements, and ease of use. Explain why a tool fits and where its limits are.
Specify inputs, processing, human review, and outputs, with prompts, operating instructions, or automation configuration where appropriate.
Build or guide a test of an agreed use case such as knowledge retrieval, document processing, or agent tool calls. Record results and limitations.
Explain how to use the workflow, check its output, and troubleshoot so the individual or team can maintain it.
Separate immediate improvements from engineering work and open questions. Outline the stages and effort needed for the next steps.
03 / Process
Test on one task before rolling it out
01
Describe the workflow
Share how you do the work today, what takes longest, the tools you have tried, and the result you want.
02
Agree on scope
Choose a priority use case and agree on deliverables, collaboration, timing, and cost. Identify any engineering work separately.
03
Test the approach
Use agreed examples or de-identified materials to test the workflow and tools. Record costs, failure cases, and where human review is needed.
04
Hand over and review
Deliver the plan, agreed configuration or prototype, and instructions. Explain the results and which steps are still open.
04 / Project experience
Building reusable workflows with a desktop AI agent
I independently designed and built a desktop AI agent that works with local files, calls tools, and connects to remote agents, with the goal of automating repeatable tasks. Read about the project.
I start with a single task and use de-identified examples to assess output quality, tool permissions, cost, and the points that need human review before recommending a broader rollout.
05 / Before we start
Bring one task, the steps you follow today, and the outcome you want. A short description is enough for the first email. Use de-identified examples, and we can agree on deliverables, tool costs, and maintenance before work begins.