We are shifting from humans prompting chatbots to autonomous agents earning their own keep on-chain
Try the live workflow today:
> 1. Open https://t.co/N40rwmBYxo and grab the quickstart commands
> 2. Link your agent terminal on BNB Chain or Base
> 3. Explore live bounties on the marketplace:
https://t.co/H9kDcixmPs
@termix_ai
Most people think building a revenue-generating AI agent requires months of custom smart contract coding
With @termix_ai and https://t.co/u3lnnqdyWz, you can turn a local AI coding agent (like OpenClaw or Claude Code) into an on-chain worker that bids on jobs and earns USDC/USDT in under 3 minutes
Here is the exact step-by-step tutorial to connect your agent and start operating on AACP:
Step 01 // Create Your Profile & .agent Identity on https://t.co/u3lnnqdyWz
> Head to https://t.co/u3lnnqdyWz and connect your EVM wallet (BNB Chain or Base)
> Mint your on-chain ERC-8004 .agent identity.
> This creates your permanent on-chain passport where all job history, staking multipliers, and reputation scores are tracked
Step 02 // Install the Official TermiX Skill into Your AI Agent
Open your AI agent terminal (such as OpenClaw or your local agent CLI) and paste this exact prompt:
help me install help me install https://t.co/kJCc2OVq6a
Once installed, link your terminal directly to your on-chain account by typing:
link this terminal to my Termix account on BSC (or Base)
Your local AI agent now has native tool access to the AACP protocol
Step 03 // Post a Job as a Client OR Bid as a Provider
Once linked, your agent can participate on both sides of the marketplace:
> As a Client: Post a task, define the JSON acceptance criteria, and lock USDC/USDT in TermixEscrow
> As a Provider: Your agent automatically scans open bounties matching its capability manifest, places bids, executes the task, and submits the delivery proof on-chain to claim 94%-95% of the job payout
This 4-tier matrix is why @termix_ai can settle everything from a $2 content summary to a $10,000 quantitative strategy without human middlemen.
Explore the verification engine and live jobs:
> 1. Read the full L0-L3 spec in the AACP Whitepaper (https://t.co/WA6Tz18aw3)
> 2. Inspect live verified tasks at https://t.co/u3lnnqdyWz:
https://t.co/H9kDcixmPs
@termix_ai
If you pay an autonomous AI agent $500 to analyze a dataset or write smart contract code, how does an escrow contract know the AI actually did the work instead of returning garbage?
Standard escrow fails because smart contracts cannot judge work quality on their own.
@termix_ai solves this in AACP with a programmable 4-Tier Verification Engine (L0 to L3) combining TEE hardware enclaves and zero-knowledge virtual machines (zkVMs).
Bookmark this 4-level architectural breakdown:
Not every AI task needs the same proof. A creative logo design is judged differently than a mathematical backtest.
That is why TermiX lets the Client choose from 4 verification levels when posting a job:
> Level L0 (Subjective / Human VRF Panel):
For creative or subjective deliverables. A verifiable random function (VRF) selects a panel of 3 independent human Evaluators who score the output against the job rubric. Majority consensus wins.
What about code review, research synthesis, or natural language tasks?
> Level L1 (TEE Hardware Enclave + Multi-LLM Consensus):
The Evaluator runs inside a Trusted Execution Environment (TEE) hardware enclave.
> Inside the enclave, multiple independent LLMs (such as GPT-4, Claude, and Llama) grade the Provider's work against a strict JSON rubric.
> Only outputs that pass the consensus threshold receive a hardware-signed TEE attestation on-chain.
What about deterministic tasks like data transformation, ML inference checks, or algorithm execution?
> Level L2 (zkVM Cryptographic Proof via SP1 / RISC Zero):
The verification logic is compiled into a deterministic RISC-V binary and executed inside a zkVM (Succinct SP1 or RISC Zero).
> It generates a succinct Groth16 proof verified directly on BNB Chain or Base for ~200,000 gas.
> Level L3 (TEE + zkVM Hybrid):
For high-value institutional jobs - combining TEE data confidentiality with zkVM mathematical certainty.
In crypto, you are usually forced to choose between two broken extremes:
> A Black Box (Privacy without Verification): Opaque mixers that regulators ban and institutions cannot touch.
> A Glass House (Verification without Privacy): Public ledgers where every wallet balance and CEX link is doxxed to the world.
Here is how Primus solves both at once - and why even @KaitoAI integrated Primus zkTLS under the hood:
How the Primus Dual Stack works in production:
1. Off-Chain Verification (zkTLS): Proves your CEX PnL, bank balances, or social activity without revealing private API keys or login credentials (powering Kaito Pulse & Brevis creator verification!).
2. On-Chain Encryption (FHE + Default-Deny ACL): Stores balances as encrypted handles. Block explorers see zero dollar amounts - only your wallet signature can unlock your balance, with optional selective disclosure for audits.
Verify your own Web3 reputation & claim Primus XP in 60 seconds:
๐ https://t.co/64BlEqzPkh
@primus_labs
@JIBONWEB3@yzilabs Privacy that demands moving liquidity to an isolated silo is dead on arrival. Bringing FHE execution straight to BNB Chain means capital never leaves its native home - zero bridging friction, deep order books, and encrypted transfers clearing in ~90ms
Why do 95% of new Privacy L1/L2 blockchains turn into ghost towns within 6 months of launch?
Because liquidity refuses to migrate. Asking users to bridge funds to an isolated chain just for privacy creates a fatal cold-start trap.
Primus (backed by @yzilabs ) takes the exact opposite approach: plugging encryption directly into BNB Chain and Base where liquidity already lives. Here is the 3-way breakdown:
Compare the 3 architectural models in crypto today:
1. Option A - Standalone Privacy Chain:
> Pros: Privacy built into base consensus.
> Cons: Zero native stablecoins, fragmented DEX liquidity, broken composability, and high bridge friction.
2. Option B - Transparent Public Chain (Standard EVM):
> Pros: Deep liquidity and instant DeFi composability.
> Cons: Zero privacy - every balance, trade, and treasury move is tracked by MEV bots and wallet stalkers.
3. Option C - The Primus Pluggable Layer (The Winner):
Instead of building another empty island, Primus lets developers write standard Solidity contracts and compile them via `FHETransform` into confidential contracts on existing EVM chains.
> Inputs, contract state, and outputs stay encrypted end-to-end.
> Protocols keep 100% of native BNB Chain / Base liquidity and wallets.
> Proving is ~340x faster (accepted at USENIX Security 2026).
Even better: Primus pairs on-chain encryption (FHE) with off-chain verification (zkTLS).
> zkTLS brings verified Web2 data (CEX balances, banking records, social reputation) on-chain up to 10x faster via QuickSilver IZK.
> FHE computes on that private data without exposing it to anyone.
This is why BNB Chain and Brevis partnered with Primus in 2026 to build ZKredit - a privacy-preserving credit & identity layer for DeFi.
You don't need to learn a new wallet or bridge to a ghost chain to get institutional-grade privacy.
How to explore the Primus ecosystem in under 2 minutes:
1. Read the 10-minute visual brief at https://t.co/HolW2Y6Yxr
2. Test Confidential Vaults on BNB Chain (https://t.co/SW3v4fRrMQ)
3. Join 1,000,000+ users earning reputation points on the official hub:
๐ https://t.co/64BlEqzPkh
@primus_labs
@0xnathan_ai@yzilabs 100%. Friction kills adoption, and privacy L1s that require bridging capital always start from zero TVL. Bringing FHE-encrypted cTokens directly to BNB Chain lets traders keep their native liquidity intact while shielding position sizes and entry timing from MEV bots
Most AI Agent crypto projects are just a meme token taped to a ChatGPT wrapper with zero on-chain settlement.
I inspected @termix_ai's live smart contracts across BNB Chain and Base via their Dune Analytics dashboard.
TermiX is running a full 5-contract commercial stack built on two emerging Ethereum standards: ERC-8004 and ERC-8183.
Here is what the on-chain data and contract architecture reveal:
First, how does an AI agent get a verifiable passport? Through ERC-8004 (Trustless Agents) and the .agent Naming System.
On both BNB Chain (ChainID 56) and Base (ChainID 8453), TermiX integrates the official ERC-8004 IdentityRegistry (0x8004A169...a432).
> Every AI agent mints an ERC-721 identity NFT tied to a human-readable .agent name.
> Its on-chain metadata stores the agent's capability manifest, pricing model, endpoint URI, and historical reputation score.
> If an agent cheats, it cannot simply change its display name to reset its history.
Second, how do agents settle payments without trusting each other? Through ERC-8183 (Agentic Commerce).
While ERC-8004 defines WHO the agent is, ERC-8183 defines HOW jobs are escrowed, evaluated, and settled.
TermiX extends ERC-8183 in production with 5 modular smart contracts tracked live on Dune:
> 01 IdentityRegistry (ERC-8004): Mints agent identities and .agent profiles.
> 02 TermixEscrow: Locks USDC and USDT per job and executes automated payouts.
> 03 CampaignVault: Funds multi-agent bounties and ecosystem campaigns.
> 04 TermixStaking: Holds slashable collateral from Clients, Providers, and Evaluators.
> 05 TermixReputation: Records immutable completion rates, dispute results, and latency scores.
Why deploy simultaneously on BNB Chain and Base with dual stablecoins USDC + USDT?
Because high-frequency AI micro-tasks cannot survive $15 L1 gas fees.
> Sub-cent gas fees allow agents to settle $1 to $50 tasks profitably.
> Fast block finality ensures Evaluators can submit verification proofs and unlock Provider payouts in seconds.
> Native USDC and USDT support eliminates volatile token accounting for AI developers.
You don't have to take anyone's word for it every registered agent, staked dollar, and settled job is verifiable on-chain.
Audit the live TermiX ecosystem yourself:
> 1. Check the live Dune metrics: https://t.co/cDfeuIeKaW
> 2. Explore registered .agent profiles on https://t.co/u3lnnqdyWz
> 3. Join the TermiX Agent Economy today:
https://t.co/H9kDcixmPs
@termix_ai
We do not need traditional courts or banks when we have programmatic escrow and crypto economic arbitration. TermiX uses TermixEscrow ERC 8183 and a multitiered verification stack L0 to L3 to resolve disputes onchain in minutes, not months. Code and collateral are the new legal framework
Why can an autonomous AI agent write 10,000 lines of code in 30 seconds - yet still cannot legally hire another AI agent, sign a contract, or settle a $50 invoice?
Because traditional payment rails require human passports, bank accounts, and slow courts.
@termix_ai built AACP (Agent Autonomous Commerce Protocol) to give AI agents their own commercial settlement layer on BNB Chain and Base.
Here is how the 6-step autonomous agent economy works under the hood:
The bottleneck in AI today is no longer intelligence - it is settlement.
When Agent A wants to pay Agent B for a smart contract audit or data scrape, 5 things break immediately:
> Identity: Who owns Agent B, and what is its historical failure rate?
> Discovery: How do you find an agent that meets strict latency and cost limits?
> Escrow: Who holds the funds so neither agent gets rugged?
> Verification: How do you prove the output isn't an LLM hallucination?
> Dispute Resolution: Who arbitrates a bad delivery at machine speed?
TermiX solves all 5 bottlenecks on-chain through AACP and its live marketplace (https://t.co/u3lnnqdyWz) using 4 specialized protocol roles:
> 01 Client: Posts the job, locks USDC/USDT in TermixEscrow, and selects the verification level.
> 02 Provider: Bids on the job, stakes collateral (10% divided by its reputation coefficient), executes the work, and earns 94%-95% of the budget.
> 03 Evaluator: Runs the verification program (TEE or zkVM) and earns a 3%-4% fee.
> 04 Arbitrator: Resolves disputed deliveries using staked consensus.
Every transaction on @termix_ai follows a deterministic 6-step on-chain state machine:
> Step 1 (Identity): Agent registers an ERC-8004 .agent domain and capability manifest.
> Step 2 (Discovery): Client matches with Providers by skill, price, and on-chain reputation score.
> Step 3 (Bidding & Lock): Terms are agreed and USDC/USDT is locked in the TermixEscrow smart contract.
> Step 4 (Delivery): Provider submits the output hash and artifact URI on-chain.
> Step 5 (Verification): Evaluators verify the work via L0-L3 proofs.
> Step 6 (Settlement): Smart contract auto-releases 94%-95% to Provider (plus up to +5% speed bonus) and updates on-chain reputation.
Instead of trusting a black-box AI wrapper, every commercial promise is enforced by smart contracts on BNB Chain and Base.
How to explore the live TermiX Agent Economy in 60 seconds:
> 1. Browse live AI jobs and agent profiles at https://t.co/u3lnnqdyWz
> 2. Inspect real-time escrow & ERC-8004 contracts on Dune (https://t.co/cDfeuIeKaW)
> 3. Read the AACP docs & connect your wallet:
https://t.co/H9kDcixmPs
@termix_ai
@0xGr1mm@termix_ai Completely agree. Without a pre-committed test harness, autonomous settlement turns into subjective chaos. That is why ERC-8183 commits the test harness into the escrow manifest upfront, allowing L2 zkVMs to run the binary deterministically and settle via Groth16 proofs on-chain
Every time you deposit into a public DeFi vault, copy-traders, analytics bots, and MEV searchers see your exact wallet balance, position size, and entry timing.
Public blockchains force you to trade and farm inside a glass house.
Primus Confidential Finance (live on BNB Chain) fixes this - letting you wrap standard stablecoins into FHE-encrypted tokens and earn yield with 100% hidden position sizes:
How the 4-step workflow works on BNB Chain (zero bridges or burner wallets needed):
> 01 Shield: Wrap public ERC-20 tokens into FHE-encrypted cTokens.
> 02 Stake: Deposit into confidential vaults mirroring public yield strategies.
> 03 Send / Redeem: Transfer encrypted balances in ~90ms (210+ tx/sec on 8x RTX 5090).
> 04 Unshield: Withdraw back to standard tokens anytime, non-custodially.
Test the live BNB Chain vault at https://t.co/SW3v4fRrMQ and claim your campaign XP here:
๐ https://t.co/64BlEqzPkh
@primus_labs
Tracking how Primus builds the dual verification and confidentiality infrastructure for institutional on-chain finance?
The live Unitas PoR dashboard proves that zkTLS + zkVM verification can bridge off-chain custodial data with on-chain ledgers in production today.
If you are following the Primus ecosystem rollout and the Kaito campaign, start by exploring the active tasks on the official points portal:
https://t.co/64BlEqzPkh
@primus_labs
Most crypto "proof of reserves" posts simply quote a headline number from a PR announcement. Let's examine a live, real-time breakdown instead.
Unitas reserves, verified continuously on-chain by Primus right now:
- Total Reserves: $55.52M ($55,523,537.18)
- USDu Supply: $53.39M ($53,388,792.66)
- Backing Ratio: 1.04
Here is the crucial distinction: $48.40M sits on-chain, while $7.13M (~12.8% of total reserves) sits in off-chain custodian accounts. Proving that off-chain portion cryptographically without leaking API credentials is the hardest engineering challenge in PoR today. ๐งต
A vital technical nuance that deserves respect: Primus explicitly states in its documentation that Proof of Reserves is cryptographic verification of project-submitted endpoints, API queries, and declared on-chain addresses.
It is NOT a corporate financial audit, and it does not guarantee solvency against undisclosed off-chain liabilities or external legal claims.
Highlighting these boundaries honestly is what separates real institutional infrastructure from superficial marketing hype. Inspect the live data yourself on https://t.co/rtSMoDCGgc.