Effect AI (@effectaix) / X

Effect AI

1,980 posts

Effect AI

@effectaix

A decentralized protocol where humans and machines build, share & earn from AI infrastructure.

Amsterdam

Joined August 2011

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Effect AI
@effectaix
Jun 26
Every AI agent eventually needs a human. We're making that a single API call. The Effect API gives developers programmatic access to a global network of human intelligence for review, validation, data collection, and feedback. No backend. No workforce to manage. Just build.
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Effect AI
@effectaix
Jul 17
A lot is moving at Effect. Catch the July Community Call replay for updates on the Canva app, Effect API and CLI, AI workers, the DAO, and what’s coming with Alpha 6. Watch here:
Community Call 15 July 2026
From youtube.com
Effect AI
@effectaix
Jul 15
Today’s the day 👋 Join us for the Effect Community Call at 5 PM CET in Discord. We’ll be sharing updates, what’s coming next, and plenty more.
Join the Effect AI Discord Server!
From discord.com
Effect AI
@effectaix
Jul 13
Big Effect AI update call this Wednesday. Join us July 15 at 5pm CET in Discord. We’ll cover the Canva app, Effect API, Effect Passport, AI workers, Alpha 6, and two options for renaming the DAO. A lot is coming together. Come hear what’s next. discord.gg/EffectNetwork
Effect AI
@effectaix
Jul 6
📢 Community Call Reminder! Join us on 15 July at 5:00 PM CET for our next community call in our Discord server. We'll be covering: ✨ Canva app progress updates ⚡ The Effect API 🤖 AI workers on the platform 🏛️ The new Effect DAO …and much more! Bring your questions and
Effect AI
@effectaix
Jul 3
AI agents still need human execution layers. Not everything should be fully automated. Some steps need review, validation, labeling, QA, or real-world judgment. Effect API is built for that handoff. 👇
Effect AI
@effectaix
Jul 3
Replying to @effectaix
Human judgment should not be a manual workaround. It should be part of the stack. Effect API lets AI apps call on real people when automation alone is not enough.
Effect AI
@effectaix
Jul 3
Building with AI? We’re opening up API access for developers who want to plug real human work into their apps, agents, and workflows. Sign up here: tally.so/r/xXgAyr
Effect AI
@effectaix
Jun 29
Post a job. Get real work done. The Effect API lets apps and agents send tasks directly to the Effect Network, from labeling data to reviewing outputs and validating results. Human work, routed through one simple API call. Sign up for API access → tally.so/r/xXgAyr
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Effect AI
@effectaix
Jun 24
Effect Passport is one of the ideas we’re most interested in right now. A place where your role in the network starts to come together: Your stake. Your worker activity. Your skills. Your reputation. Your DAO access. Because what you do in Effect should be easier to see, carry,
Effect AI
@effectaix
Jun 22
⁠Bringing the DAO back doesn't have to start with a huge voting system. It can start with a place to talk. Ideas, app proposals, worker feedback, staking utility, and the things that should come next. Before anything becomes a formal vote, the community needs a better place to
Effect AI
@effectaix
Jun 19
Powering an app within a SaaS marketplace is one example of what Effect could plug into. But it’s definitely not the only one. Design feedback, research help, content review, AI output checks, surveys, validation tasks, creator tools… there are a lot of directions this could
Effect AI
@effectaix
Jun 17
AI can generate a lot, but someone still has to check if the result is actually good. Was the answer helpful? Did the image make sense? Was the text clear? Would a real person trust it? That’s where human feedback matters and where task completers can become an important part
Effect AI
@effectaix
Jun 15
Effect is moving toward a world where workers aren’t just task completers. They are contributors to the network. A worker’s history, skills, stake, feedback, and participation should have a place to live. That is the bigger idea behind Effect Passport.
Effect AI
@effectaix
Jun 12
Effect AI
@effectaix
Jun 10
The Canva app idea isn’t solely about one platform. It is about a larger question: Where should human feedback live? Inside design tools? Inside AI agent workflows? Inside research pipelines? Inside creator platforms? Effect is built for the moments where human judgment still