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What I learnt building Cheltenham Times with AI agents

5 min read
Playful toy robot AI character surrounded by floating newspaper-style panels, colourful 3D animated style

A lot of businesses in Cheltenham and Gloucestershire are interested in AI, but the question I hear most often is not “which model should I use?” It is more practical: “What could AI actually do in my business without creating a mess?”

The best way to answer that is to stop talking about AI in the abstract and look at a real working system. Cheltenham Times has been a test bed for that. It is a local news website built on WordPress, with local information, content workflows and SEO. It is not magic and it is not a replacement for human judgement. It is a set of tools, workflows and guardrails that show where AI can be genuinely useful for a small business.

The first lesson is that AI is fast, but fast is not the same as right. In the early version the agent was producing around five to seven posts a day. Some were useful, some needed editing, and some should not have been published at all.

1. AI works best when the job is specific

“Use AI” is too vague. “Find local source material, turn it into a structured draft, add suitable WordPress formatting, keep an audit trail and leave it for human review” is much more useful. For Cheltenham Times that covers monitoring relevant local sources, extracting useful information, creating draft posts, suggesting SEO-friendly titles and summaries, maintaining directory-style pages and flagging when a source blocks automated access or a workflow fails. A vague assistant wanders; a specific workflow can be tested, improved and measured.

2. WordPress is a useful place to start

Many Gloucestershire businesses already use WordPress, which makes the process visible: ideas become drafts, drafts are reviewed, posts are published and performance can be monitored. In this work the agent prepares draft content, applies structure, adds source attribution and supports SEO basics. The important word is “draft”. Draft-only is a sensible default for any business starting with AI: the AI does the first pass, and a person checks accuracy, tone, commercial risk and timing.

3. SEO comes from structure, not shortcuts

AI can help with SEO, but not by churning out thin content. The useful work is turning messy notes into a clear page structure, suggesting headings that match how customers search, checking whether a post answers the obvious follow-up questions, writing summaries and meta descriptions, and finding internal linking opportunities. A local accountant, solicitor, architect or trades business does not need hundreds of generic AI posts. It needs a smaller number of genuinely useful pages that answer the questions real clients ask before they get in touch, and AI can help produce those faster, provided the subject expertise is there.

4. Human steering is not optional

The more useful an AI system becomes, the more the human steering matters. The agents need rules: what counts as a suitable source, what to skip, when something must stay in draft, how much content is too much, and what to do when the workflow fails. Many business AI experiments fail because the business buys a tool, gives it a broad instruction and expects a trained employee. A better approach is to treat AI as a junior team member with very fast typing and no built-in business judgement: give a clear brief, limit access, review the output and improve the process as you learn.

5. Failures are part of the system

Sources change their layouts, websites block automated access, feeds stop working, extraction rules pull the wrong text, and prompts produce drafts that are too thin. A sensible implementation needs monitoring, fallback steps and a clear owner. Business value comes from the operating process around the model: who reviews the output, where the approval point sits, what data the AI may see, what happens when it is unsure, and how you know it saved time or improved quality.

6. Start with one workflow

Cheltenham Times shows that agents can support a broad workflow: research, content creation, WordPress drafts, SEO structure, monitoring and local data. That does not mean every business should start with a complex system. Good first candidates are turning meeting notes into follow-up actions, drafting first responses to common enquiries, preparing WordPress draft posts from expert notes, summarising long documents for internal review, and creating a weekly operations or sales summary. Pick something repetitive, measurable and annoying, then build a small workflow with human approval built in from the start.

Useful assets, not just content

One of the best lessons was that AI agents are useful for more than articles. Ordinary posts have a short shelf life, but reference tools and pages can keep helping people for months. Cheltenham Times added pages such as fuel prices, property prices, planning applications, school catchment areas, local clubs and events. The question for any business is not “what can we generate?” but “what useful thing could we maintain, update or improve with AI support?”

Three rules before you start

For Cheltenham Times I set three rules: the setup had to be as private and secure as possible, the running cost had to stay low enough to make sense for a small business, and the work had to create something of actual value rather than AI content for its own sake. Before adding AI to a workflow, ask what data the system will see, which tools and accounts it can reach, what it will cost each month, where human approval sits, and how you will know it is saving time or improving quality. Ignore those questions and AI becomes a risk; answer them and it becomes manageable.

Cheltenham Times is still an experiment. It still needs human judgement and it still changes when something goes wrong, which is why it is useful. For most Gloucestershire businesses, the best first AI project will be a practical workflow that removes friction from something you already do: responding to enquiries, preparing reports, checking documents or researching leads. Pick one repeatable job, define what good looks like, keep a human in the loop and measure whether it helps.

If you run a business in Cheltenham or Gloucestershire and want to explore what a sensible AI workflow could do for you, book a short AI consultancy call. We can look at where time is being lost now, what is safe to automate and what a first useful project could look like.

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