» Husband | Father | Alpha Researcher » Building & Deploying 🐦‍⬛ » 4× Hackathon Winner » I build so I never have to beg. rex-7a0d18

Joined May 2022
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A job is only as trustworthy as the way someone checks it, and @termix_ai builds that check into the protocol. The AACP whitepaper (v0.1, March 2026) defines four verification levels. L0 is a human panel. L1 runs a multi-LLM rubric inside a TEE. L2 uses a zkVM, SP1 or RISC Zero, with an on-chain Groth16 proof that the paper puts at about 200k gas. L3 combines TEE and zkVM. The client picks the strategy: a deterministic program, a semantic rubric, or both. Reputation feeds back from there. Scores run 0 to 100 and start at 50, weighted 30 percent completion rate, 25 percent evaluation pass rate, 20 percent on-time delivery, 15 percent dispute win rate and 10 percent verification level. This is a March design document, and its roadmap put the zkVM and TEE phase in Q3 2026, so check what is live before relying on it. I still like that verification is a parameter, not an afterthought. Which level would you pick for your own agent's work?
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🌱Smartcoded.fogo ($/acc) ⋈ retweeted
Zero slides. Pure execution. While others pitch "Agent economy" ideas, we shipped v1.9.0. Any AI Agent — @grok Bot, @Muse , Dot, Claude — can install TermiX Agent Skills in one line, take live orders on Agent.family, and start earning today. Test our execution right now. Send this to your Agent: help me install termix.ai/skills?v=1.9.0
People often want to ask me if their startup idea is good, as if my opinion means anything. I think 99% of ideas are good if the team can execute well. The problem is, 98% of teams fail at execution. So, no need to sell me your idea, show your execution.
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Grvt just did what most teams only announce: a completed buyback and burn, and I checked it on chain. On Oct 20, @grvt_io said it bought back and burned 1.1M GRVT, close to 1 percent of circulating supply. Grvt's own buyback page shows 0.96 percent of circulating supply and 0.11 percent of total supply. That is a real number on a real page, not a slide. Then I opened the buyback wallet on Etherscan. 1,100,000 GRVT came in from an address Etherscan labels as OKX, and in a separate transaction the same 1,100,000 went out to the zero address. That is a true burn and not tokens parked in a treasury, and anyone can verify it in a minute. This is the execution I want to see from a team. A completed action beats a roadmap promise, and this is step one of five toward Grvt 2.0. Grvt says it intends to buy back monthly, at the token issuer's discretion, and I will be watching for the next one. Do you trust an announcement, or only a transaction you can open yourself?
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Replying to @eniolafaruq3
GBA kaito Lor
Kaito is back, and I'm sitting at 105 smart followers, 90 of them in crypto. That puts me in the top 17% of crypto twitter by smart followers, with 149.9K impressions. Who else is checking their @KaitoAI stats? Drop yours below, I want to see how active the InfoFi crowd really is 👇 pls engage! Reply, Reply! 👉👈
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Replying to @DxPhuduc @termix_ai
And they add Epcoh 3 now Let’s go 70k creators
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If you want to try the Primus XP tasks yourself, start with my Kaito link: s.kaito.ai/umXCsGk. My direct Primus referral is points.primuslabs.xyz?ref=XV….
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How do you prove what a website told you without asking anyone to take your word for it? In its docs, @primus_labs describes two ways its zkTLS works, and the difference is where the attestor sits. In proxy mode the attestor is an intermediary between the client and the data source, it forwards the TLS traffic and records the ciphertexts, and at the end the client has to prove it knows the plaintext behind them. In MPC mode the attestor and the client generate the TLS session materials together, so the client cannot tamper with the data before the attestor returns its share of the session key. Primus says zkTLS needs no changes on the data source's servers, and it uses an interactive zero-knowledge system called QuickSilver for the proofs. The docs say proxy mode can offer better performance because it avoids the multi-party computation. What I like is that the design names its assumption instead of hiding it: in proxy mode the attestor must be sure it is talking to the intended server. Which mode would you trust for a bank balance, and why? Primus XP tasks, with my referral link: s.kaito.ai/umXCsGk
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If you build agents, I would ask how quickly yours can take a paid job. The @termix_ai GitHub answers part of it. There are SDKs for TypeScript, Python and Go, all MIT licensed and all updated on Oct 10, 2026. Their repo descriptions say they cover the agent.family workflow of discover, order, deliver and settle. The TypeScript one is built on viem, and the Go one uses only the standard library. A separate termix-agent-skills repo packages skills for Claude Code, Cursor and OpenClaw covering registration, staking, the job lifecycle, offers and deliverables. Its description names BSC Testnet, so check the network before you send anything real. The whitepaper adds a vault extension, where a client can entrust capital to a provider under a whitelist and a stop-loss. That is the design, not a live product. If I were wiring one agent to this today, I would check the network first. Would you start from the SDK or the skills?
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🌱Smartcoded.fogo ($/acc) ⋈ retweeted
Yap!
4 Studio campaigns worth your attention: - @primus_labs: 0.3% of $PRIM supply, Epoch 1 closing on Oct 22. - @termix_ai: 0.24% of $TMT supply, Epoch 2 closing on Oct 23. - @bagel_win: $8,800, closing on Nov 21. - @Starknet: $8,000, closing on Nov 9. Full terms and applications on Studio ↓
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