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Airo for WordPress is here to simplify how WordPress sites get built! Now, small businesses and web pros can create custom WordPress websites in minutes using conversational AI, all from inside the native WordPress dashboard. Just tell Airo for WordPress what you want, and it will design your website, create content and blogs, update products and pages, generate WooCommerce storefronts and more. No complicated setup, endless plugins or separate builder UI. From there, Airo for WordPress continues working behind the scenes to help keep your site fresh, optimized, and aligned with your business goals. Airo for WordPress offers the speed and simplicity of AI combined with the flexibility and ownership of WordPress. Fast to launch. Easy to manage. Built to grow. You can experience Airo for WordPress free for seven days by visiting https://lnkd.in/eTwdFDtr #godaddy #airoforwordpress

Your website. Your logo. Your marketing. All in one place. Yes, it's really that tidy.

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Every site built with Airo AI Builder comes with a built-in analytics dashboard. Publish your site and immediately see who is visiting, where they are coming from, which pages perform best, and how engaged your visitors are. Full guide on using Airo AI Builder analytics to grow: https://lnkd.in/eR2dd9tF Start building: https://lnkd.in/e_kubQbj Join the community: https://lnkd.in/eZsxhZgP #AiroAIBuilder #GoDaddy #SmallBusiness #WebsiteAnalytics #GrowYourBusiness

The Airo AI Builder team has been heads-down making the product better, and April was a packed month. 👉 Arabic RTL support 👉 AI Skill System 👉 Rebuilt image search 👉 Way smoother streaming 👉 And credits no longer burn on system operations. Full update here: https://lnkd.in/eQgTgshR Try Airo AI Builder: https://lnkd.in/ehuNExsH

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Ever been on-call and spent 30 minutes just finding the bug? We built an AI assistant that does the tedious 80% so engineers can focus on the 20% that requires judgment. Chengyu Gong and Monica Mishra, Senior Software Engineers at GoDaddy, share how they built "logiq" in a 72-hour hackathon: ✅ Natural language log queries (no KQL needed) ✅ AI-powered error analysis and categorization ✅ Automatic code fix suggestions ✅ One-click PR creation From 15-30 minutes of context switching → under 1 minute from alert to PR. The secret? A documented log schema that gives the LLM the domain knowledge it needs. The full breakdown includes cost analysis (~$0.004/query), architecture decisions, and what they learned building it. Worth a read if you're thinking about practical AI tools for developer workflows → https://lnkd.in/ejPw3MvG

Airo AI Builder just turned a conversation into a complete booking app.                                           We gave it prompts describing what a pet grooming salon needs. It built the entire system — service selection, scheduling, customer confirmations, admin dashboard.                                               No code. No templates. Just: "here's what the business needs" → working app.   We documented the full build because this works for any appointment-based business. Grooming, fitness, cleaning, beauty — if you run on appointments, this pattern is yours.                                         Try Airo AI Builder 👉 https://lnkd.in/eaYsSXsA   https://lnkd.in/ekDHQBJM

"Show me the audit trail."  That's the first question security teams ask when evaluating new infrastructure.  For AI agents, the answer is usually: "We log to CloudWatch..." or "We have database records..."  That's not an audit trail. That's a log file. Log files can be modified, deleted, or lost.  An audit trail must be immutable, verifiable, complete, and precisely timestamped. ANS uses a Merkle tree-based transparency log for exactly this.  Every lifecycle event is recorded: registration, metadata, certificate issuance, version updates, code changes, renewals, and revocations. Each entry is hashed and sealed in the tree. The root hash is signed by AWS KMS.  To verify any entry, anyone can request the Merkle proof, verify the chain from entry to root hash, confirm it was signed by ANS's KMS key, and prove it's untampered. This isn't "trust us." This is cryptographic proof.  Here's why traditional logs fail audits.  A regulator asks: "Show me this agent's config on March 15." You show a database entry. They ask: "How do I know this wasn't modified after an incident on March 20?" You say: "Trust our access controls." They respond: "Not sufficient."  With ANS, you show entry #45,782 from March 15 with the hash chaining to the Merkle root signed that day, plus cryptographic proof. The regulator verifies it themselves. They ask about changes March 15–20. You point to entries #45,782 through #49,300—no updates. "Audit controls sufficient."  Mathematical proof versus procedural trust.  In financial services, regulators demand proof of a trading agent's version during a disputed transaction—transparency logs provide immutable timestamps and version hashes. In healthcare, auditors need all AI interactions with patient data in Q2—transparency logs provide complete, ordered history.  What makes these auditor-friendly? Offline verification without querying ANS. Independent third-party verification. Court-admissible proofs. Backdating impossible to hide. Missing sequence numbers immediately detectable.  When regulations require audit trails (and they will), ANS is ready.  The EU AI Act requires AI systems to maintain audit records. NIST's AI RMF requires traceability for AI decisions. SOC 2 Type II demands logging and monitoring. GDPR mandates records of processing activities. Transparency logs satisfy all.  ANS follows Certificate Transparency architecture (RFC 6962): append-only, Merkle tree proofs, KMS-backed signed tree heads, and public verifiability. This isn't experimental—it's the same technology securing billions of TLS certificates.  Within three years, regulators will mandate immutable audit trails for AI, insurers will require transparency logs for liability coverage, and enterprises will demand them from vendors. Early adopters gain a multi-year compliance head start. Late adopters scramble to retrofit.  The transparency log is not a feature. It's a requirement.  Learn more: https://godaddy.com/ans