Why @Mira_Network became the Fastest-Growing Verified AI Layer in Web3
▸ You can tell when a protocol’s growth is organic. Mira didn’t scale through speculation - it scaled through integration
▸ Its "B2B model" quietly powers over 10+ dApps that now run on Mira’s Verified AI Consensus. Each integration makes AI not just smarter, but verifiable
1. @klok_app ▸ where Verification Meets Everyday Use
A multi-LLM chat app with prompt-to-earn rewards, proving verified AI can scale trustlessly for 500K+ users
2. Delphi Oracle ▸ Fact-Checked Intelligence, Embedded
Inside every @Delphi_Digital report lives an Oracle AI assistant - answering and verifying through Mira’s consensus, cutting hallucinations from 30% to under 5%
3. Mira’s DVN ▸ The Engine Behind On-Chain Verification
In partnership with @kernel_dao, DVN brings consensus-level guarantees to LLM computation - trustless, performant, and verifiable
▸ Mira isn’t chasing narratives ~ it’s defining them: by combining verified intelligence with scalable infrastructure, it’s becoming the backbone of trustworthy AI across Web3
→ The next AI revolution won’t be artificial ~ it’ll be verifiable
➥ @Mira_Network Building Verified Intelligence
The core of $MIRA is simple but powerful:
→ Verify every AI output before trusting it
Mira builds a verification layer across the AI stack
• ~50% of Mira’s eco are agents and apps
• ~30% are compute, infra, and models
• ~20% focus on data and zk/TEE systems
This turns #AI from a black box into an auditable system
No single model decides what’s true but verification does
• Compute comes from global DePIN networks
• Models from OpenAI, Anthropic, DeepSeek, and Meta are cross-verified to balance bias
• Agents like Phala, Spectral, and Eliza check each other’s work
@Mira_Network is making AI trustworthy
@Shonik14 @stone_gettings @karansirdesai Tagging some CTs who love @Mira_Network
@jayplayco I @kenodnb I @shannholmberg I @YashasEdu I @vvickym2 I @HM010169 I @IPALAU1 I @wang_xiaolou I @Edward__Park
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