AI NOW · EMERGING TECH NEXT
Start with your goal. Work backwards with practical AI research, skills and workflows.
THE FRONT PAGE
AI now. A wider view of what comes next.
Follow the data behind physical AI, from workers recording their hands to the research and quality checks that turn footage into training material.
Draws on BBC News and CNN reporting, published research and company accounts. An example of emerging work, not a forecast of job demand or earnings.
FILMS
Explore the differences behind a shared job title, using a purposive review of 19 employer descriptions.
Compare GTM Engineering and RevOps through a purposive review of 12 GTM-family and five adjacent role descriptions.
Follow workers’ footage into robot training, and the filtering, labelling and checks that make it usable.
CHOOSE YOUR NEXT MOVE
Look beyond the job title. Explore what employers describe, where roles overlap and what you might want to learn next.
A review of 19 employer descriptions explores responsibilities, ownership and reusable work behind the FDE title. Includes an inspectable dataset and methods guide.
Purposive employer-description review, retrieved 6 October 2026. Advertised expectations, not observed work or labour-market prevalence.
Employer descriptions reveal technical work across GTM Engineering, RevOps and Marketing Operations. Includes a dataset and an inbound-routing example.
Purposive comparison of 12 GTM-family and five adjacent role descriptions, retrieved 6 October 2026. Advertised expectations, not observed work or a representative labour-market survey.
BUILD THE SKILLS AND EVIDENCE
Working towards a new role, a client project or a better way to work? Start with a practical guide.
One starting point for a developer project
Build a small Python MCP server with tool registration and a connection to an AI client. Use it as a focused learning project.
Open the practical guideCode-detectable site signals
Published rubric
Downloadable dataset
Inspect a code-detectable audit of 103 publisher sites, with a published rubric and downloadable data. These signals describe site configuration, not guaranteed AI visibility.
Read the audit and methodsWORKING WITH CLIENTS?
Comparisons, agent skills and integration references for your next client project.
Compare IDE and terminal-based AI coding workflows, including Cursor, Windsurf, Claude Code and Aider, against the way you work.
Explore the comparisonUnderstand what SKILL.md files do, how to write one and how reusable agent instructions connect to the skills directory.
Read the skills guideFind the documented connection options, search tools and practical source-review considerations for Exa’s MCP server.
Explore the directory entryFor your own work, or your next client question.