Assess Enterprise Knowledge and RAG Readiness
Govern enterprise knowledge freshness, source authority, retrieval evidence, entitlements, and sensitive-context boundaries before expanding or releasing a RAG capability.
Step-by-step guides for larger AI-assisted tasks
Workflows
Workflows combine Amo.ng Prompts and review steps in a defined order to help you complete a larger job. Each step tells you what to provide, what to review and what to carry into the next step. You can copy a Workflow or run supported Workflows step by step in Workplace.
Review results before continuing. Manual, Codex and other external steps remain clearly identified and are completed outside the provider runner.
Make an AI Initiative Value and Scale Decision
Reconcile an approved AI value case to realized evidence, diagnose value leakage, calculate accepted-outcome unit economics, and issue a Scale, Hold, Redesign, or Stop decision.
Verify an AI-Generated Software Change for Release
Reconcile a coding agent’s instructions and completion claims against the actual change set, verify dependency and API assertions, close test-evidence gaps, and prepare controlled release gates.
Review Production AI Evaluation Reliability
Determine whether evaluation data, automated judges, production comparability, and retrieval experiments provide reliable evidence for an AI release or operating decision.
Investigate an AI Agent Security Incident
Reconstruct an AI agent incident, trace delegated authority and sensitive context, conditionally investigate memory or RAG authorization, and prepare evidence-based containment and recovery gates.
Produce an Evidence-Traceable Literature Review
Refine a defensible research question, screen and extract evidence, synthesize the corpus, audit citation currency, and trace material conclusions to original evidence.
Build an Evidence-Grounded Marketing Campaign and Measurement Plan
Turn customer objections, competitor evidence, and verified proof into approved positioning, an execution-ready campaign, operational QA, and a controlled experiment plan.
Design a Governed AI Agent Architecture and Accountability Model
Turn an already-approved business use case and verified process evidence into an AI agent architecture with explicit roles, handoffs, authority boundaries, role-based review, escalation, and recovery controls.
Turn a One-Off Prompt into a Governed Cross-Tool Prompt System
Convert an informal instruction into a reusable template, harden its boundaries, red-team failure modes, adapt it across AI tools, and finish with one cross-variant evaluation and regression gate.
Plan and Review a Complex Laravel Feature for Safe Release
Turn an evidence-supported product opportunity into a phased Laravel implementation plan, conditionally review migration safety, and—after separately authorized implementation produces a real change set—review the pull request and prepare a risk-based release gate.
Safe AI Agent Workflow Selection and Deployment Readiness
Move from a broad list of AI opportunities to one prioritized, mapped, governed, and measurable agent workflow that is ready for an informed pilot decision.
Production Incident to Safe Patch and Prevention Plan
Turn production logs and repository evidence into a minimal patch proposal, verification plan, independent review, deployment controls, and a blameless prevention backlog.