AI Work & Prototypes

I build and embed AI into how teams actually work.

Over the past 18 months I’ve focused on hands-on AI implementation, building and testing workflows, tools and prototypes that teams actually use in day-to-day work.

I focus on getting from idea to something real quickly, and then embedding it into how people actually work.

Internal AI Transformation (Lightful)

I led a company-wide initiative to embed AI into how teams work day to day.
• Identified high-friction, time-intensive tasks across teams
• Designed and ran experiments, training and hands-on interventions
• Enabled teams to build their own AI tools and workflows

Result: measurable time savings across multiple teams and sustained adoption of AI in day-to-day work.

AI Prototype Sprint (6 weeks)

A focused sprint to test AI product ideas quickly in real-world conditions.
• Built 6 working AI prototypes in 6 weeks
• Included tools I built directly as well as team-built prototypes
• Used structured prompts and multi-step workflows

Result: clear signal on what was worth building, and proof that useful AI products can be created in days, not months.

Daily Briefing Automation

A lightweight workflow to reduce context-switching and improve daily planning.
• Pulls calendar data automatically
• Uses AI to generate a structured daily briefing
• Shares output directly into Slack

Result: reduced manual planning and a repeatable pattern for simple internal automation.

Side Projects & Rapid Prototyping

Alongside structured work, I regularly build small, fast products to explore ideas and solve real problems. This is where I stay hands-on and build quickly.

How I work

Start with a real problem

Build something usable quickly

Test in real-world conditions

Iterate based on what actually works

Even Stevens

Oxford Cycle Parking Map

Between Sessions