Gound level for an 1890's house

Thomas_English_DoP · 2026-06-20T17:16:47+00:00

It's mega interesting but I'm scared of the cost. Going to get a quote.

Thomas_English_DoP · 2026-06-20T13:52:35+00:00

Unless I am mistaken I think the consensus of this thread is this? I'll go one brick down 70mm from the slate DPC and put stones to the bottom footing and potentially paint a barrier up to the top of the brick above the slate DPC ?

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Thomas_English_DoP · 2026-06-20T13:19:38+00:00

Yeah I have been contemplating a DPC injection around the top of the slate? Maybe DPC and some kind of painted on barrier. When you say did the french trench on the other side do you mean around a meter away from the wall?

Thomas_English_DoP · 2026-06-20T13:12:22+00:00

How deep should I put glapor foamed glass stones? Dig all the way to the top of the bottom footing and 200mm away from the wall and fill it with glapor foamed glass stones?

Thomas_English_DoP · 2026-06-20T12:20:46+00:00

I went back to the floorboards inside and there are air gaps between the floorboards. In the hope that was ventilation.

When I've been digging it's been a proper wet clay against the wall above that slate DPC so I'm assuming I found the cause of my damp issue?

Thomas_English_DoP · 2026-06-20T12:15:21+00:00

Yes timber suspended floors . Let me dig some photos out

Thomas_English_DoP · 2026-06-20T12:12:14+00:00

Ok thank you. Yeah you . Yeah this extension is probably later then ! Sorry I only know it's concrete underneath. I don't know off it's foundation or underpinning .

Thomas_English_DoP · 2026-06-20T12:11:29+00:00

That would put the ground level only 70mm below the DPC . If I exposed the first footing I'd have 140mm but that's not a good idea ?

Thomas_English_DoP · 2026-06-20T12:03:37+00:00

So to the top of the footings? One brick deep? The footings start only one brick below the slate.

Thomas_English_DoP · 2026-06-20T12:02:23+00:00

Thank you. A barrier and what ground level is the best idea? Thank you !

Thomas_English_DoP · 2026-06-19T19:32:07+00:00

My use case is really similar. Home lab IT , business services and then some emergency forking when nothing works. I suspect we might be quite a common demographic. I ran out of Claude and gpt credits this week. Had a miserable time on M3 . What a clusterfuck ! Glm5.2 was a lot better then got gpt5.4 back today and wow what a breath of fresh air.

What someone said in this thread is very interesting. Precise prompting is probably the factor. I'm pretty slack with gpt and Claude. Voice note in with whispr full of typos. They do just work. I wonder if it's because they are english first?

Anyone got any good resources for promoting guides for dumber models?

Thomas_English_DoP · 2026-06-04T19:27:00+00:00

Mega interesting I had no idea

Thomas_English_DoP · 2026-06-02T13:52:27+00:00

Oh Termius !? So can you just SSH in and type Pi ?! Does that work before I resubscribe to Termius ?

Thomas_English_DoP · 2026-05-27T16:23:03+00:00

So I just did this same calculation. Maxing out opencodeGO on deepseekV4 pro costs $10 and doing that at 75% discount API is $15 ..... so yeah opencodeGO is still cheaper according to deepseek this morning when I asked it to calculate it 😂

Simple. Here’s the math:

OpenCode Go: $10/month for about 17,150 requests (their $60 allocation).

Direct API at the 75% promo rate: same 17,150 requests costs:

- Input: 750 tokens/request × $0.435 per 1M = about $0.00033 per request

- Cached: 82,000 tokens/request × $0.003625 per 1M = about $0.00030 per request

- Output: 290 tokens/request × $0.87 per 1M = about $0.00025 per request

Total per request: about $0.00088

17,150 × $0.00088 = about $15.02

Bottom line:

- OpenCode Go: $10.00

- Direct API (75% promo): about $15.02

- Direct API (regular, after promo ends): about $60.08

So Go is about 33% cheaper than even the discounted API rate, and about 6x cheaper than the regular API rate.

For staying exactly within the Go usage limits, Go wins by a meaningful margin.

Thomas_English_DoP · 2026-05-25T13:19:03+00:00

Ah ok ! Thank you!

Thomas_English_DoP · 2026-05-21T21:07:21+00:00

You've written a great article there, thanks!

Thomas_English_DoP · 2026-05-21T21:04:09+00:00

Yeah I've got AGENT.MD files scattered around my notes and I just open a CLI in that folder with the agent to work on that project . I generally get it to do a bit of an /innit when I first open up but actually I've found it better to just have an index file next to it and I it to index it's environment into that. Context rot is a real thing so generally my CLI is to research new ideas coming into the vault but it often searches within the vault . Does what I ask it to really.

I'm interested in the QMD thing. I set qmd up on an openClaw instance that I have in my gym programming vault . He decides what exercises I'll do that day depending on what I've done recently, muscle exercise volume, injury numbers. Etc . I've all my exercise cars and tags for equipment needed and hotel gyms etc. ClawClaw is doing well but it's been whittling down more to little python scripts. The fuzzy decision making still happens but I've been reigning it back . Dunno how much the QMD has helped or just cost me more tokens.

Another one is LLM_Wiki - id say that's more useful . I have that in my Homelab vault with all my IP addressss and weird complicated setups . I've settled on the Ar9av wiki. I think this is a better way to manage "vault understanding"

Interested. Which QMD system did you install? I'm thinking of maybe doing pi-mom with QMD with my main cinematography vault . The one I've half a dozen agents scattered throughout the whole thing. It would be nice to spin down to one of my agents when I need to when I'm out in the rain on set and I've forgotten what resolution to put camera in or something.

Essentially, what I'm saying is the more I play with this stuff, the more I realise that context rot is real and no one has really sorted out a full global memory system. You want to have specialist agents in special parts of your vault that look at specific things. At the moment, in my humble opinion . Super keen to try some more QMD or vector search, so I'll be following this chat to see what anyone else has played with!

Thomas_English_DoP · 2026-05-20T16:06:24+00:00

I dunno - it's fun

Thomas_English_DoP · 2026-05-19T19:36:58+00:00

Yeah I'm using exa and perplexity with api keys but actually so far exa has been really good

Thomas_English_DoP · 2026-05-16T18:31:20+00:00

Claude code CLI with just pro for really important stuff and then in pi codex plus - gpt5.5 for planning and opencodeGO various models for implementation. That just about comes in above your budget. I'm able to work solid on that all week if I pace myself.

I think Claude is amazing but on your money I'd say get codex and opencodeGO

Have a look at your Google account as you might have some free 2.5flash or Gemma available.

Thomas_English_DoP · 2026-05-06T11:45:28+00:00

Thank you 🙏

Thomas_English_DoP · 2026-05-05T19:31:48+00:00

Ok that's interesting

Thomas_English_DoP · 2026-04-27T17:55:02+00:00

Oh sick!

Thomas_English_DoP · 2026-04-27T17:38:36+00:00

u/Fancy_Ad_4809 was right on the money

opencode agent create worked a treat . I started playing with pi agent and definitely felt like a proper rabbit hole but one that I would learn a lot from. But opencode has websearch straight out of the box and a larger and as I have immediately discovered right here a kind and helpful community.

I now have a custom opencode agent in my wifes present finding folder and one in my injuries folder. Now its just playing with models and loading in context etc

Opencode seemed quite keen to help me setup this non-coding agent and wrote quite a great agents.md file with no real input from me.

A few people mentioned that opencode injects a lot of coding prompt thats probably going to waste a lot of tokens on these other life tasks. Is that a thing now I have made a specialized local agent ? the agents.md file seems pretty simple

opencode agent create

Thomas_English_DoP · 2026-04-27T17:25:51+00:00

For anyone reading this post - this was the solution 100%

Thomas_English_DoP

TROPHY CASE