AI Agents
Design, assess, govern, and safely introduce AI-agent workflows with explicit controls and human oversight.
Curated discovery
Explore focused collections that connect Amo.ng Prompts, Workflows, and Skills around practical outcomes.
Explore handpicked topic collections that bring together relevant Prompts, Workflows, and Skills in one place.
Design, assess, govern, and safely introduce AI-agent workflows with explicit controls and human oversight.
Diagnose, change, review, test, and deploy software with repository evidence and controlled engineering practices.
Improve conventional and AI-assisted search visibility with evidence, intent alignment, citations, and internal discovery.
Map, design, review, and operate dependable automations with failure handling, handoffs, and measurable controls.
Review security boundaries, permissions, dependencies, data exposure, and operational risks with traceable evidence.
Evaluate vendor claims, procurement fit, security, value, renewal choices, and negotiation readiness with evidence.
Turn datasets, telemetry, metrics, and analytical questions into evidence-led findings and trustworthy decisions.
Structure strategic choices, priorities, operating plans, risks, and executive decisions around explicit evidence.
Map obligations, controls, approvals, evidence, and accountable decisions across AI and business operations.
Research audiences, improve conversion, plan campaigns, and measure growth with clear evidence and experiments.
Triage incidents, preserve evidence, plan controlled recovery, and turn operational failures into prevention work.
Turn recurring work into clear personal and team systems, handoffs, documentation, and focused execution.