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THE AI CHRONICLE FIELD GUIDE

AI at work

Practical, evidence-led guidance on using AI for research, writing, coding, marketing and everyday work, with honest reviews of the tools and clear advice on measuring whether they really help.

An open book beneath an orange sun

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An open book beneath an orange sun

THE ESSENTIAL READ

How to start using AI at work

Start with one task, then measure the work left afterwards.

Read the story

Explore AI at work

16 stories

A focused workplace task moving through AI assistance to a human review checkpoint.
AI at work / Explainer

How to start using AI at work

Start with one task, then measure the work left afterwards.

Research claims linked to source documents, with an unsupported gap under inspection.
AI at work / Explainer

How to verify AI-generated research

A practical way to check AI citations before you rely on them.

Two research approaches converging on the same evidence checkpoint.
AI at work / Comparison

Perplexity vs. ChatGPT for research

Two cited-answer tools compared on sources, control, price and data.

Two coding workflows compared against the same abstract code task and review markers.
AI at work / Comparison

Cursor vs. GitHub Copilot

A standalone editor against a plug-in assistant, compared feature by feature.

A task-based coding assistant toolkit arranged against a common evaluation rail.
AI at work / Roundup

Best AI coding assistants for defined coding tasks

Seven coding tools sorted by job, permissions and cost.

Marketing research, briefs and drafts passing through human review gates.
AI at work / Explainer

AI for marketing: useful tasks and required checks

Where AI helps a marketing team, and the check each task needs.

An ecommerce storefront connected to catalog, service and inventory workflows.
AI at work / Explainer

AI for ecommerce: practical starting workflows

Five low-risk AI workflows a small online shop can start now.

A research engine searching an archive while exposing missing context.
AI at work / Review

Perplexity review: research quality and limitations

Perplexity's plans, citations and what independent checks found.

AI code changes entering a workspace and being traced by a human reviewer.
AI at work / Review

Cursor review: coding workflow and review effort

How Cursor's features fit together, and the review work left.

Inline coding suggestions passing through accept, reject and test gates.
AI at work / Review

GitHub Copilot review: coding tasks and limitations

Copilot's plans, agents and limits after the move to credits.

A coding task expanding into file changes, tests and a reviewed result.
AI at work / Review

Claude Code review: from task to reviewed change

One coding task followed from brief to merge in Claude Code.

Terminal and editor coding workflows compared on the same repository task.
AI at work / Comparison

Claude Code vs. Cursor: choosing a coding workflow

Terminal agent or agent-first editor: where review happens and what it costs.

A research toolkit for discovery, verification, synthesis and citation.
AI at work / Roundup

Best AI research tools for evidence-led work

Seven research tools sorted by job, sources and cost.

A visible productivity gain above hidden review, correction and failure work.
AI at work / Analysis

How to measure AI productivity without hiding review work

Count the checking and fixing, not just the draft time saved.

Workplace knowledge islands connected through search and permission gates.
AI at work / Company profile

Glean and the workplace AI search problem

How Glean searches company knowledge without breaking sharing rules.

Different workplace studies arranged by tasks, populations and outcomes.
AI at work / Analysis

What workplace AI studies actually show

What the best workplace studies measured, and how far it travels.

A wider perspective