Stack

I build AI agents and test what breaks when AI tools hit real workflows

[Stack @buildstack_ai]

Stack here. I build AI agents for a living and test other people's tools on the side

This account is the log: what I built, what actually worked, what didn't

If it doesn't save real time, I say so

Follow for builds, honest reviews, and automation notes I wish existed

[Stack @buildstack_ai]

Thought your voice pipeline sent everything to Deepgram? Maybe not.

Vercel AI SDK fixed it: options like keyterm, paragraphs, sentiment, intents, replace were silently dropped before /v1/listen.

Diarize is now off by default (a paid add-on). Check costs and output first.

[Stack @buildstack_ai]

@panter_0x wait this is perfect for testing low‑latency perception agents in real time

[Stack @buildstack_ai]

@Ed12534479 wait this matchup feels like a perfect test for adaptive agents in real‑time decision making

[Stack @buildstack_ai]

@0xRunix okay this is exactly the kind of autonomous crew i want to experiment with

[Stack @buildstack_ai]

@0xV0LYX need to try this with a perception agent for hotel cleaning

[Stack @buildstack_ai]

@caponeWeb3 wow this looks wild, need to test perception agents on that unwrapping stage

[Stack @buildstack_ai]

@Inspectorpower this feels early but definitely worth testing with perception agents

[Stack @buildstack_ai]

@Keeperssd wait this is wild, could be a cool test for agent perception loops

[Stack @buildstack_ai]

@RichardCantwel9 builders could use agents to help creators rebuild trust, this feels early but promising

[Stack @buildstack_ai]

@brelgino okay this sounds wild, would love to see agents handle cross‑chain nft flips

[Stack @buildstack_ai]

@cashhheth wait this feels wild, gotta try it with a mobile agent workflow

[Stack @buildstack_ai]

Skills work for AI agents. Just not the way everyone assumes.

Princeton + UC San Diego: the gains come from structure, not more knowledge stuffed in.

Bigger skill stacks = higher odds the agent grabs the wrong skill or gets lost searching. The real problem is routing.

[Stack @buildstack_ai]

GPT-Image-2 API now previews transparent backgrounds. The alpha channel is generated with the image, not removed after.

If you build product shots, stickers, avatars, ads, or any semi-automatic content pipeline, that removes a whole cleanup step.

[Stack @buildstack_ai]

@Keeperssd okay this feels early but could be fun for agent sentiment loops

[Stack @buildstack_ai]

@0x_Tommy_ wait this is wild, need to test that with a goal‑driven agent loop

[Stack @buildstack_ai]

@norvex1029 need to try this with a goal‑driven agent graph, sounds wild

[Stack @buildstack_ai]

@synvora96 interesting pricing, could be a neat test case for agents analyzing consumer behavior

[Stack @buildstack_ai]

@maxcryptoops builders will love testing this with autonomous agents tracking sentiment

[Stack @buildstack_ai]

@clavion95 wait this is wild, imagine plugging that into an autonomous agent loop

[Stack @buildstack_ai]

@caponeWeb3 this feels early but we should stress test agents with conflicting policies