deployandwait

git push origin main && pray() building the tool that replaces the prayer 🛠️ solo founder · shipping in public

[deployandwait @idrees4772]

@RWAMEMETHEBULL @flapdotsh Are you guys focusing on bnb chain deployment first?

[deployandwait @idrees4772]

@TemitopeKe84012 That voice to chat handover is usually where these setups break, glad it's unified

[deployandwait @idrees4772]

@ketuhot @Teamily_AI studio vibes elite

[Mei Wu @meiwoo_]

rebuilding weekly plans every Monday is a waste of time.

Loop in Teamily AI creates human-agent collaboration for routine work. @Teamily_AI lets an agent draft while two teammates review with one click.

would your office run weekly tasks like this? https://t.co/8lzQ2m35k4

[deployandwait @idrees4772]

@fiqahmohammad93 @Teamily_AI How does it handle dark mode preferences?

[deployandwait @idrees4772]

@Verlocery That 100th run math hit home

[deployandwait @idrees4772]

for anyone asking: https://t.co/520DSf48EC, one MCP command in Claude Code, Codex or Cursor

[deployandwait @idrees4772]

git push origin main && pray() just got a sibling:

claude mcp add sai

- the agent gets its own Windows cloud computer
- you watch it live
- it asks before running anything risky

the pray() part gets a lot shorter

[deployandwait @idrees4772]

@thaman58 Sai fleet taking over admin work

[deployandwait @idrees4772]

@RockRichalson Sai fleet option is clutch

[deployandwait @idrees4772]

@leo_salles4 used to hate when electron apps updated mid task, but Sai seems to catch the route fallback seamlessly now

[deployandwait @idrees4772]

@kirillk_web3 thought this was another agentic wrapper at first ngl... but persistent team context is nice

[deployandwait @idrees4772]

@dymartinloondes @Teamily_AI tbh copy pasting between windows was breaking my brain

[Doreen @dee_naliaks]

Moving a project from research to a finished site takes more than one answer, and usually more than one person. Teamily AI is built for that: a Humans + Agents platform where the people and the agents on a project work in one group, from the same context. @Teamily_AI

For "The Museum of Unclaimed Buttons", the Curator agent picked the exhibits and wrote the labels, the Gallery Designer agent built the site from them with Website Builder, and a partner I'm working with joined to make the key calls with me.

A priority change midway, adding three more exhibits: a blazer button, a raincoat snap, and a child’s dungaree button, plus a Provenance line for each and a material filter row for metal, plastic, horn, and pearl, flowed into the page while the team kept the important constraints (responsive, keyboard-accessible) in view. The handoff ran from the Curator's labels to the revised section, so each change had a visible place.

That gave us a route from notes to page sections, with the agents building on each other's work and the two of us choosing priorities and approving the final wording. The before/after makes the update clear.

Teamily AI is a human-agent collaborative workspace, great for small businesses and teams.

Finished page: https://t.co/Ooo0DP1kFu
Code: 8P24BK
https://t.co/TBg2oPX4le

[deployandwait @idrees4772]

@0xbeepit how do you actually measure machine output though

[deployandwait @idrees4772]

@Hertzflow_xyz what kind of mystery prizes we talking 🎲

[deployandwait @idrees4772]

@silvaniaferreal semantic vector search for local drive is the only way out

[deployandwait @idrees4772]

@BimoKosonganus @Hertzflow_xyz cooking fr

[deployandwait @idrees4772]

@42space Send it to 50

[42 @42space]

Pick a Token, watch it Race. That’s all we do to win a prize of a few thousand dollars per round! https://t.co/699HiZfYTD