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Hands-on checklist to run a ChatbotX developer instance, configure a minimal lead-capture flow (greet → contact → webhook), test integrations, and review production readiness.
Guide to running AI-Gateway, an open-source semantic-caching reverse proxy that can cut LLM API/token costs (repo cites ~40–70%). Covers setup checklist, verification, and rollout tips.
Step-by-step guide to deploy the open-source wsp-wordpress-mcp connector that mediates AI coding agents for WordPress, centralizing authentication, logging, and staged rollout checks.
Shows how the chatbot-default reshapes social, legal and environmental systems. Presents a practical guide and 3‑hour prototype for task-focused AI with provenance, checks, and rollout metrics.
Step-by-step primer to clone OfficeOS, run its Quickstart demo locally, verify agents accept work, and prepare a staging rollout—practical checklists and rollout notes included.
OpenAI and Anthropic each launched ~$1.5B PE-backed ventures embedding vendor engineers into customer teams. A practical playbook for running tight, handover-ready PoCs and production gates.
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.