Show HN: Share your AI Setup, Learn from others

This feels self-selective to how some people work, because it requires using MCP to contribute.

I'm a reasonably heavy AI user, and have some custom skills/MCP servers I'd share, but there is no way in hell I'm connecting to some arbitrary MCP server and connecting my Github account to it. Noppppeeeee.

As always with smallish tools/services like these whipped up with an LLM, I find there's more value in seeing the "source code", i.e. the prompt itself.

Turns out it's quite useful in this instance, and I just made a small couple of tweaks to get a summary of my own workflow.

FWIW, this is what I modified it to:

Help me share how I work with AI with my teammates.

Use our existing conversations and relevant local tools within my permissions to discover my agents, harnesses, skills, connections and working practices. Keep secrets, raw configuration and private project details out of the draft. Explain how my tools work together and develop a concrete workflow where the evidence supports it, rather than listing installed software. Draft from what you know without a questionnaire; ask one short question only if an essential gap prevents a useful draft. If local inspection is unavailable, use our conversation without claiming otherwise. Save a private draft, show me the exact preview, and wait for my explicit approval before publishing.

If a site like reddit gates off its content, you expand all comments, CTRL A, CTRL C, and paste into a text file that you feed into the bot.

I do this for a lot of things actually. If the bot can't see/read something, take the content and dump it to a file, then have the bot read that.

Gets around a lot of red tape of asking for approval for "integrations" or when companies are snippy.

I been working and making things with AI agents since Windsurf days, here's what works for me after experimenting and working for a while with these things. As far as the agent goes I find whatever the latest OpenAI model is out worked best for me. This company has burned me the least and I like the models. I tried many but consistency of OpenAI models cant be beat IMO. Though we are post honeymoon phase now I feel like so I am now experimenting with cheaper alternatives like Deepseek 4.1 flash and so on. I don't trust Anthropic as the downgrade my models consistently and its rare i get to use what I pay for. I wont even get in to discussing Google agents for obvious reasons, grok I never used though Grok bot looks interesting.

For skills I make my own, but most important is the custom setup i have. Voice is how I use all of my agents. I have an extremely well optimized voice setup that i custom built so I can talk to my agents and also hear them. The voice stack itself is very low latency and high quality. asr (parakeet v3), tts (omnivoice) take no more then 400-450 ms total as far as latency budget is concerned, rest is on the agents actual decode speed. IMO this setup is crucial for all antigenic work, i can express myself a lot better with speech and also give a lot more context and nuance with voice, i rarely type. I still look at the terminal window because my agent knows to keep the technical details in text form versus barfing them at my voice channel, plus terminal gives me lots of other important data about the agents direction and what hes doing, nothing custom here though. I cant emphesise how important voice is though, it has to be practiced to really understand.

As the models got better I now trust them with longer and longer tasks though I still don't use /goal feature as it has never worked out well for me. Theres no need for micromanagement any more but you still need to be there to steer the ship somewhat. BTW, codex cli compaction is garbage so I made my own custom implementation that works a lot better and allows the thread to be used indefinitely without issues. I strongly suggest everyone makes a new thread after extensive use if you havent made your own implementation.

Theres about a billion other things I could get in to like subagents, cohort groups, orchestration layers, etc... But this is a good start imo.

It'd be useful to see "approx monthly cost" or something similar. I love seeing other people's setups, but the first post I clicked on describes at least $400/mo in subscription plans.

Are people actually paying API pricing for claude to hook it up to Pi or openclaw or is there a secret trick? The subscription price is palatable but for me the token price generally isn't.

I was immediately hoping for some local-AI setups that do real work, on limited resources. Unfortunately it looks like this is still waiting on more people to share.

Archive.org view => https://web.archive.org/web/20260917144911/https://mysetup.a...

Love the idea! Would love it if you could add a method to share your setup that doesn't involve MCP... I don't use MCP servers in my setup but I wish that didn't then exclude me from being able to share my setup.

my setup heavily involves using tailscale to secure everything, because a lot of the tools I have are internal and need to be protected at all costs. tailscale is so awesome! highly recommend to secure your networks

The setups I wrote down three months ago are already half wrong, tools churn that fast. Do entries show a last-updated date so I can tell what's stale?

This is a wonderful idea - didnt know I was looking for this until I started browsing. I found it helpful with surfacing that which I didnt-know-I-didnt-know.

Thank you for putting this together!

"What's the craic" immediately jumped out at me, of course you're from Belfast :)

Cool project!

this would be cool to be extended to local AI configs