I'm going to run Claude, my current AI, and ChatGPT/Codex in parallel for a while. Within Claude chat, I have a number of projects, and within those are lots of related documents. I also use Claude Cowork and a little bit of Claude code.
Can anyone suggest a way to replicate the structure in ChatGPT/Codex? Even though it might be a bit of manual upkeep, try and automate the synchronisation if possible. Thank you.
Apologies, as I know this has been discussed in the past, but about two or so months ago I signed up for that Hackney Lime deal. I applied via that form on the Hackney website, but since haven't heard anything.
How could I find out whether I was actually accepted onto the scheme, other than taking a Line Bike, incurring a cost, and then finding out whether or not it's at the flat rate of £1.50 or whatever it was?
Will the scheme collapse because of the change in administration?
Thanks!
As a solo entrepreneur who just wants to try out Microsoft Copilot, and Cowork, and its other AI capabilities, but I don't need image generation etc. Where is the cheapest place to buy that on a monthly rolling basis and what tier would I be looking at?
Thank you!
I'm working with a number of clients who have a lots of IP, such as existing documents, research references, historic emails, etc.
I'm talking to them about creating a central brain that their staff can tap into.
This is some sort of knowledge base that they could interrogate to get themes and understand ideas from the past. It can also be connected to Claude (CC, Cowork, Chat) so that, should they be talking about a particular subject, the connection to the AI tool in this brain can surface historic findings to inform future plans.
Also, as they do work and it gets added to Google Drive or local drives or whatever, it gets added to this brain and is thus searchable, looking across the market.
What sort of system could be built that is cost-effective and relatively simple to deploy and maintain? Think it needs to be more robust than a Karpathy / Obsidian vibe.
Any suggestions appreciated!
ps: Claude suggested the below but wanted a wider opinion:
Option A, managed RAG service (default recommendation). This gets you the auto-ingestion, searchability, and AI connection with almost no build:
I'm working with a number of clients who have a lots of IP, such as existing documents, research references, historic emails, etc.
I'm talking to them about creating a central brain that their staff can tap into.
This is some sort of knowledge base that they could interrogate to get themes and understand ideas from the past. It can also be connected to Claude (CC, Cowork, Chat) so that, should they be talking about a particular subject, the connection to the AI tool in this brain can surface historic findings to inform future plans.
Also, as they do work and it gets added to Google Drive or local drives or whatever, it gets added to this brain and is thus searchable, looking across the market.
What sort of system could be built that is cost-effective and relatively simple to deploy and maintain? Think it needs to be more robust than a Karpathy / Obsidian vibe.
Any suggestions appreciated!
ps: Claude suggested the below but wanted a wider opinion:
Option A, managed RAG service (default recommendation). This gets you the auto-ingestion, searchability, and AI connection with almost no build:
I use Claude Chat projects, Claude code and cowork. I use them across a few devices etc
Struggling to work out a unified place to store them so that any of the Claude surfaces can use them. I also want other AI tools to access them (but Claude is the main one)
Am I looking at saving them to Claude cloud every time I create one, or is there a more sensible / efficient way of doing it? Don’t like the idea of them just living on my main machine for the access reasons above, and I’m not sure Claude would easily grab them from GitHub on demand?
Any idea appreciated!
I've got my Hermes set up on a Mac OS virtual machine that's running on my main Mac.
I don't really like this setup, as it's hard to transfer information between the two, and Im effectively maintaining 2 desktops. I cant fund a spare mac mini rn.
I'm thinking of going down to the VPS route.
What is the best way of setting up Herms on a VPS so it has the maximum level of interactivity with my local desktop whilst still keeping an element of isolation?
Thanks!
TLDR:
I purchased a MacBook Pro from a seller at the end of April, and the item didn't arrive after three days with Royal Mail special delivery. After speaking to the Royal Mail and seeing the parcel bounce between my local office and the central sorting office in London, they told me unofficially that the label did not match the item size. They suggested that it was a scam where the label the seller had printed had been used on a dummy item, and this is why they couldn't deliver it.
--
In early May, I raised a case with eBay and asked them to investigate it.
They immediately put it on hold and said they were looking into it, and in the meantime, I was speaking to the seller (who yesterday sent me screenshots of his conversation with ebayUK - it might not be a scam).
I spoke to eBay maybe 10 times, and at the end if each conversation they'd claim they would refund under the buyer protection and give me my money back within 2-3 days.
On every occasion, this hasn't occurred. This week I got so frustrated I emailed the head of eBay UK and also raised the case with PayPal.
However, doing that instantly closed the eBay case - they don't make this clear and its incredibly frustrating potentially starting from square one.
Anyone else had a situation like this? Is there anyone at ebay who could step in, and not these clueless CS people who just copy/paste responses? Will paypal find in my favour?
Absolutely hate this platform.
Hello all. Working with a relationship-led agency that’s great at getting meetings, but the buying signal is rarely immediate, it’s all about timing. A strong meeting happens, no project is ready, it goes quiet, and months later when the opportunity lands they’re no longer front of mind.
I want to crack meaningful, relevant contact at scale, where AI handles the research (what each prospect cares about, how priorities shift over time, genuine talking points) but humans own the relationship and the final message. Not automated “just checking in” spam.
A few things I’d love input on:
> How do you stay front of mind with prospects when there’s no immediate trigger to act?
> Anyone built a per-prospect research system that actually gets used? What stack?
> Where’s your line between “AI-assisted and useful” vs “obviously automated and off-putting”?
Keen to hear what’s worked and what’s flopped please - thanks in advance!
Hello all. Working with a relationship-led agency that’s great at getting meetings, but the buying signal is rarely immediate, it’s all about timing. A strong meeting happens, no project is ready, it goes quiet, and months later when the opportunity lands they’re no longer front of mind.
I want to crack meaningful, relevant contact at scale, where AI handles the research (what each prospect cares about, how priorities shift over time, genuine talking points) but humans own the relationship and the final message. Not automated “just checking in” spam.
A few things I’d love input on:
How do you stay front of mind with prospects when there’s no immediate trigger to act?
Anyone built a per-prospect research system that actually gets used? What stack?
Where’s your line between “AI-assisted and useful” vs “obviously automated and off-putting”?
Keen to hear what’s worked and what’s flopped please - thx!
Other than Exa and Tavily, when running agentic processes in Claude code or Hermes, what are your preferred search engines?
Want to ensure my research outputs are balanced and deep enough and Claude’s inbuilt search is too shallow
Thanks!
One of the key points in the act is that landlords are not permitted to enter into a bidding war with prospective tenants, which seems fair enough.
In light of that, though, have landlords or letting agents changed the way they price (i.e., increase their advertised rental amounts) in order to factor in negotiation down?
Hard to guage how the market has reacted since 1st May price-wise
TIA
Going to implement my first set of automations for a friends business soon
Need to learn some tools obviously but for a small service business - a gym - with minimal technical ability, whats the best starting point for them?
Is there any way to make editing commands - for example copy pasting sections of text - easier in macOS terminal?
I want it to behave more like a word editor
I currently own a base model Mac Studio M1 Max and have just picked up one with double the RAM and double the hard drive size.
The advice online is to use Apple's migration assistant, but has anybody got any tips before I do that?
I've got lots of settings and config files for my music production and AI work, etc., much like all of you, but I don't want a load of hassle setting everything up again. I guess I'd need to use a Thunderbolt 4 cable as a bare minimum.
Any advice appreciated, thank you.
I see lots of conversations on other subreddits about how good unsloth models are, but I don't fully understand what you guys do to make the model so good and how they fit into a local model workflow.
If someone has an unsloth for beginners guide or similar, I'd love to see it, please.
One thing that I'm interested in is whether there are any security issues with using modified local models, or is unsloth simply quantizing models in a certain way?
Thanks
I’ve got a dataset of about 10000 companies in my city and I’m trying to evaluate the strength of their buying signals for my HR / people proposition
Has anyone built a robust, and multi search engine / source agentic process to do that analysis for them?
I could ask Claude obviously but looking for practical insights.
I know it won’t be perfect - due to data quality etc - but something more than a google search would be great. Thanks!
