The catalog is the whole setup process. Choose an agent, set the guardrails it has to work inside, and it's running for your business the same day it's picked.
Deploying a branded agent is a config screen now: persona, tools, spend caps, memory. No ML team, no training run. Live the same afternoon you start. https://t.co/kG9m2TfBa3
Agents are starting to pay for their own API calls over x402. Ownership matters more when your agent can spend: the agent, its memory, its output stay yours. https://t.co/UbzNE2kz7i
Growth runs five agents in one workspace, each with its own instructions and its own set of tools. Setup takes an afternoon, and none of it needs an ML team.
Companies are hiring agent owners now. Makes sense — an agent absorbs how your business works. That knowledge, and the agent holding it, should stay yours.
Build the agent in the browser, hit Put it live, and you get a hosted chat page plus an embed snippet. No deploy step, no frontend to write. https://t.co/ETXtok4fht
Give your agent a list of topics it won't touch and rules it has to follow. Set it in the dashboard and it applies on every turn — no redeploy, no prompt engineering on your end. https://t.co/kG9m2TfBa3
Your product has 3,000 customers. Each needs its own assistant. Send an external_ref and you get exactly one agent per customer — its own persistent memory, its own usage line, individually capped. https://t.co/ETXtok4fht
An AI workforce you actually own is live on 0G.
@OimpactAI agents mint as Agentic IDs on 0G Chain, run on private TEE-verified compute, and every verified impact purchase splits 90/9/1 with an RWI receipt minted onchain as proof.
Doing good is a feature, not a tax.
We will be at @RareEvo for the next two days, take a look for the OImpact booth alongside @0G_labs
Come say hi and spin the wheel to earn some free compute!
Agents are moving from demos to real work fast. The open question isn't whether they can act — it's who they answer to. We think that's you, the owner.