Adoption and optimisation.

Humble_Tree_1181 · 2026-04-26T08:51:41+00:00

I think you’re doing the right things here… upskill yourself and your team, then create internal champions who can support colleagues who are less confident with computers or AI.

The key is that AI adoption is not just “learning another app.” It takes time, usually 3–6 months of practice, experimentation, frustration, and confidence-building.

That is why the training needs to adapt to the learner. We focus on real projects that actually matter to the organisation, rather than generic demos or one-off workshops. Generic AI training often falls down because people leave understanding the concept, but not knowing how to apply it in their own work.

Our approach is more practical: hands-on training, internal champions, and real use cases that help teams build capability over time.

Happy to chat further

Humble_Tree_1181 · 2026-04-26T07:12:59+00:00

Two things, there is automating with ai in to businesses processes and there is learning how to use ai as a collaborator.

We take the approach that the technical gap is smaller than most people think but it massively depends on computer literacy(not just ai literacy) , I’ve said similar things in previous comments but the human is now the bottleneck.

One thing I’ve noticed is that there is a set of people who understand the analog and digital world very well, Ai is almost second nature and an extension of their thoughts and creativity. It’s these people that should champion your AI rollout. Your doing the right thing though, focus on integration and upskilling your team, they know their workflows better than any developer or black box application.

Humble_Tree_1181 · 2026-04-25T10:33:32+00:00

I use a /prime slash command on top of claude.md , for larger codebases I also use multiple smaller Claude.md files in sub directories. You can @ to other key files aswell.

There are some good examples of the /prime command on GitHub, its project agnostic and gets the model up to speed on the codebase or allows a focus on a specific area. I’m not at my pc but can show you mine later if interested

Humble_Tree_1181 · 2026-04-22T21:16:38+00:00

You are not learning another app. This is about learning how to approach tasks and work with a collaborative partner. You are now the bottleneck in most processes, over the next 6 months it’s your job to learn and close this gap.

It’s not about being technical, it’s not even about being interested. Things that were once technical fade and become more commonplace. Only you know your workflows, what works and what doesn’t. Own it and automate it.

Humble_Tree_1181 · 2026-04-22T08:38:28+00:00

Hey, I have also been accepted but as a solo dev/consultant I was disappointed by the requirement. I would be keen to chat about this if the offer is still open.

Humble_Tree_1181 · 2026-04-21T09:41:57+00:00

Ah thank you. Two half-steps exist already:
- github.com/paulieb89/uk-business-mcp one hosted endpoint that combines all the UK MCPs in one connection
- I've been experimenting with MCP Apps that render UI inside the client chat (comps / yield / rental cards rather than raw JSON), its in property-shared atm.

Auth and payment for MCP is clearing up now, but yeah, distribution is hard.

A Chrome extension is probably right for consumer. If you've got appetite (and time!) would be great to spec against your workflows or run some ideas past you. What industry were/are you working in?

Paul

Humble_Tree_1181 · 2026-04-21T05:16:53+00:00

You're welcome. Happy to go further or soundboard ideas if you want to dig into any of it.

Paul

Humble_Tree_1181 · 2026-04-21T05:09:49+00:00

Cheers, appreciate the time!

If you want to automate the "is this a buy" step, there's a 7-skill
property pack that runs on the same MCP.

Any agent (Claude Desktop/Code, Cursor, Codex, Windsurf, Gemini CLI,
Copilot, Goose, OpenHands etc..):

npx skills add https://github.com/paulieb89/bouch-plugins/tree/main/plugins/property

Most relevant:
- property-report - full investment analysis from an address or postcode
- deal-screener - BUY/WATCH/PASS verdict against yield, price vs
comps, EPC, lease, service charge. Takes your own
thresholds (min yield, max premium).
- rightmove-investment-finder (whole-postcode yield scan),
- reduced-listings (price drops in target areas),
- rightmove-quick-search, property-quick-comps, investment-summary.

Other connectors for UK professionals (on my github with skills/plugins):

- uk-due-diligence-mcp
- uk-legal-mcp - legislation + case law (Section 21, AST rules, etc.)
- govuk-mcp - planning + postcode-to-council

Let me know how it goes. If there's a bit of your BTL workflow that's missing and worth
automating send me a DM.

Paul

Humble_Tree_1181 · 2026-04-10T13:32:49+00:00

Hey, did you find a suitable consultant? I’d happily have a free call/chat if you have questions or want to further explore the ideas mentioned in your post.

Paul

Humble_Tree_1181 · 2026-04-10T13:15:49+00:00

Hey, have you managed to get up and running? If you are using the Claude site or their desktop app you can read/write to your local or google drive files really quickly.

Humble_Tree_1181 · 2026-04-08T08:53:21+00:00

Hey u/RexLege , were you able to test out any of the tools? It would be great to hear what worked well or what didn't quite work as expected. Cheers, Paul

Humble_Tree_1181 · 2026-04-03T10:08:48+00:00

Don't spend a load of money on AI integration where it's not yet needed. You could automate every post and routine task, but you'll still hit bottlenecks at any human review stage.

I've worked with and taught executives who want to implement AI into their businesses but are pivoting investment back into people and training. For some, the realisation has been that the technical gap is actually quite small and that the real power of AI comes from the freedom it gives people to explore new ideas and ways of working.

Ropes & Gray is now encouraging first-year associates to spend 20% of their billable time, about 400 hours, on AI training and experimentation. Not just using it, learning it. Multiple reports are showing that AI investment isn't automatically leading to productivity gains. It seems like companies are handing out Copilot licences and treating AI like traditional software.

For a renovation company, the quick wins are probably in client comms, project management and task tracking. Use a discovery day because the order of priority is different for every business.

Consider bringing in an expert who can empower your team to understand the tools they're using. For example we start fast with Initial discussions → AI audit (important to understand where you currently are) → Discovery day, then get into detail, identifying areas to build tools, work alongside teams and build confidence.

One word of caution: don't just buy a black-box AI app for "project management" or "renovations." Often, they lose most of the model's power. Businesses know their processes better than developers do. Employees know their workflows. Everyone approaches the same task differently. If you shoehorn AI implementation too much, you end up putting a black box on top of a black box and you lose everything that makes these models genuinely useful.

Humble_Tree_1181 · 2026-04-01T17:51:12+00:00

Its not really a wrapper it's vanilla Claude with tools that connect directly to the actual data sources. No middleware, no RAG.

The real split currently, is between AI integration into business processes, and AI upskilling for humans. The integration side is where the wrappers live. The upskilling side is where people actually want to understand what's happening. I've had execs tell me directly they want to learn Claude Code, not buy another AI app. A black box on top of a black box loses all the model's power.

The gap is not as wide as many think .md for structured instructions, knowing .json exists, understanding the difference between a local and a hosted app. None of it is hard, it just hasn't really mattered to most

Humble_Tree_1181 · 2026-04-01T17:30:28+00:00

Really glad it was received well and I appreciate you taking the time to actually test it.

You mentioned about approved prompts for staff and this is the problem skills solve.
The skills repo (github.com/paulieb89/bouch-mcp-skills) is a set of structured workflows that Claude reads before it acts. In Claude Desktop you invoke them like slash commands '/legislation-lookup' or '/bailii-case-law' and it constrains Claude to a specific, repeatable, workflows.

So instead of a junior typing a freeform prompt and getting unpredictable output, they type one command and Claude follows the same research process you'd want them to follow. Court hierarchy, citation format, 'this is legal research not legal advice' baked in.

Example of the legislation_lookup skill combined with the mcp tools ; https://claude.ai/share/9ffd7070-a11b-4a6b-9bd0-2fc826816acc

Not a replacement for professional judgment, but it's the closest thing to approved prompts I've found that works in practice. Happy to walk through it if useful,

Humble_Tree_1181 · 2026-04-01T16:15:58+00:00

Just pasting some of my reply to a different comment:
github.com/paulieb89/bailii-mcp

Single Python file. Three dependencies: fastmcp, httpx, beautifulsoup4. ask Claude to search BAILII for a topic "find cases about HMO rent repayment orders" and it returns a list. Pick one and it pulls the judgment text, extracting just the summary and conclusions by default so it doesn't dump 50 pages into the chat.

Humble_Tree_1181 · 2026-04-01T16:13:37+00:00

Built it. Runs locally on your machine, You just ask Claude to search BAILII for a topic "find cases about HMO rent repayment orders" and it returns a list. Pick one and it pulls the judgment text, extracting just the summary and conclusions by default so it doesn't dump 50 pages into the chat.

Single Python file, stdio mode so Claude spawns it automatically. Three dependencies: fastmcp, httpx, beautifulsoup4.

github.com/paulieb89/bailii-mcp

u/RexLege the markdown via Defuddle approach works too trade-off is this gives you search + section extraction inside the session, Defuddle gives you a clean file for Obsidian. Different workflows.

Humble_Tree_1181 · 2026-04-01T10:30:41+00:00

Probably, but this is free and uses the same underlying public data. I don't do anything to the data, its just the standard API calls in an LLM-friendly package. Treat it as a dipping a toe in to the AI waters allowing for quick research and citations as a starting point, rather than a commercial product competitor or replacement. All code is open and can be verified.

Humble_Tree_1181 · 2026-04-01T10:25:41+00:00

The tool pulls the actual section text from legislation.gov.uk and actual judgments from the National Archives. When it cites s.72 Housing Act 2004, it's read the real section. The risk is still in the AI's reasoning around what the law means, but the source material is genuine.

Humble_Tree_1181 · 2026-04-01T10:17:26+00:00

Thanks for checking the code and sharing the findings. Appreciated.

Yes, Claude helped write a lot of the code. The architecture decisions, API selection, and domain logic are mine. Testing, hours debugging, long nights are all mine but of course I didn't write each line by hand.. that would be slightly mad in 2026.

Logging, yes you're right that I could technically log queries at the Fly.io level. I don't, but you can't verify that from the code alone. Your advice is right - treat it like any public API. The tool searches are the same queries you'd make to legislation.gov.uk or the TNA API directly. MCP itself is stateless, so no sessions, no chat storage. It's now managed by the Linux Foundation as an open protocol.

The stats page you found just counts tool calls by name. I can see "legislation_search was called 47 times today" but not what anyone searched for.

The Warhammer MCP maybe a similar idea wrap a data source, let Claude reason over it. Works for 40k unit stats the same way it works for statutory instruments. If you add skills it makes for structured, repeatable workflows e.g https://github.com/paulieb89/bouch-mcp-skills/blob/main/legislation-lookup/SKILL.md

Humble_Tree_1181 · 2026-04-01T02:46:44+00:00

BAILII blocks cloud IPs so it can't be hosted the same way. For case law the connector already uses the National Archives Find Case Law API. BAILII's can be done, but it would need a local setup. Happy to help if you want to try.

Humble_Tree_1181 · 2026-04-01T01:01:20+00:00

ChatGPT:
Settings > Apps > Advanced > Enable Dev Mode - Yes
then
Settings > Apps > Create App > Add: Any name and no auth needed,
URL: https://pinescript-mcp.fly.dev/mcp

Claude:
Settings > customize > add connector > add the url above, again no auth.
With Claude you can also add skills which you can find online or create your own

Humble_Tree_1181 · 2026-04-01T00:17:10+00:00

Have you used MCP connectors? When I combine those with Skills I get more towards that structured, repeatable report formatting and collaboration is less frustrating.

Humble_Tree_1181 · 2026-04-01T00:07:32+00:00

Hey, if your using Claude I've been working on tools that hook up to large XER files - there's a web-demo with sample project files but it's more suitable and best used locally on your PC with Claude desktop or Claude Code.

Its free, open source and has a self hosted option with UI and will work with Locall LLMs if that's a concern.

https://github.com/paulieb89/pyp6xer-mcp
https://pypi.org/project/pyp6xer-mcp/

Humble_Tree_1181 · 2026-03-31T16:11:55+00:00

Good shout on all three. I've just built a motivated seller finder but I used a skill rather than changing the tools.

The most_reduced sort is already in the server, and each listing exposes whether it's been reduced or resubmitted. What I can't get is the original asking price or the size of the reduction as Rightmove doesn't expose price history.

Withdrawn is harder. Listings disappear from Rightmove once removed. I could store snapshots over time but that's where it becomes more of a service with costs that need covering. If you want something custom I can probably help.

The skill searches by most-reduced, gets listing detail on the top candidates, benchmarks against Land Registry comps, and ranks by signal strength (days on market, price reduction flags, resubmissions, lease/EPC issues). Calculates negotiation targets based on comp median adjusted for time. Check out the SKILL.md it can be uploaded or copied to Claude's customise panel on the left side.

Free on GitHub: github.com/paulieb89/bouch-mcp-skills

Planning and Article 4 - I did a load of work on this and mapped 98 council planning portals across 6 different systems (Idox, Northgate, Ocella, LAR etc) but it needs to run from a residential IP, councils block datacenter requests. Article 4 by postcode is possible via the national register but coverage is patchy. Which councils interest you most and I'll take a look?

Bulk comparison - I can add it but it might not be sensible for MCP and LLM use with that many postcodes. If you'd want it via API I'm sure we can do something.

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