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Step-by-step guidance to add two guardrails around each LLM call: pre-LLM redaction/blocking to stop PII leakage and post-LLM verification to catch hallucinations before users see them.
Deploy AI agents with one command into isolated Firecracker microVMs that snapshot and resume. Test via Slack or webhook, verify network policies and persistent agent state.
Use Ink (ml.ink) to let AI agents push code, generate an MCP/Skill token, and deploy full‑stack apps with auto-detected builds, delegated subdomains, and shared observability.
Hands-on guide to build a prototype that uses ByteDance Seedance 2.0 — a single‑pass video model generating visuals, dialogue and music — delivered via CapCut/Dreamina or APIs.
Hands-on prototype: build a Cart Assistant that uses text or photo shopping lists, OCR, and user order history to prefill Uber Eats grocery carts for review before checkout.
A pragmatic pattern for bringing one task-focused agent to production with OpenAI Frontier's HR-style controls: onboarding bundles, permission configs, audit logs, tests and rollout gates.