Reko Mäkelä Product lead for AI-agent development, search and UX
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Skills

Skill areas with their tools and examples of work: AI agents, SEO, analytics, automation and UX, each linked to case studies and roles.

AI agents and product development

Services and tools built with AI agents; every change is checked before release. Agents for marketing and sales teams too. Generative AI since 2021 (Frase AI Writer beta, Jarvis/Jasper), OpenAI API since 2022 (Codex beta, GPT-4 API in 2023).

Practices
steering agents, multi-agent delivery, automated checks, MCP integrations, knowledge bases for agents, agents for teams

UX and product design

User journeys, interfaces and content structure, based on what users look for and do. Changes tested with A/B tests and usability findings.

Practices
service architecture, user journeys, interfaces and content structure, A/B tests, usability findings

SEO and search demand

Search demand and buying intent show which pages and content to build or fix first.

Practices
search demand, content strategy, organic visibility, paid search and social, prioritisation

Analytics and measurement

Analytics turned into short findings the team can prioritise and track.

Practices
dashboards and reports, tracking standards, search data analysis, test result analysis

Data, automation and local AI

Tools and automations that collect and process data. Some run language models on a local machine, so private material never leaves it.

Practices
data collection and processing, local language models, document search, prototypes

Tools

AI agents
Claude Code, Codex, Copilot Studio, Microsoft 365 Copilot, MCP, Beads, local LLMs
Search, analytics and advertising
Google Search Console, Semrush, SE Ranking, STAT, Piwik PRO, Airtable, Google Ads, Meta advertising
Code directed through agents
Python, TypeScript, Rust, DuckDB, SQLite, Parquet, LanceDB