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Explore Build & ShipAmo.ng prompt library
Search, copy, and use expert-level prompts for Codex, ChatGPT, Claude, Gemini, and other AI tools. Built for coding, SEO, business, automation, research, education, and productivity.
What Amo.ng is
Amo.ng is a public AI prompt library built for people who need useful prompts quickly. Browse by category, tool, and difficulty, then copy prompts for real coding, SEO, business, automation, research, education, and productivity workflows.
Who it is for
The library focuses on prompts with context, constraints, output formats, verification steps, and next actions. Visitors can search and copy without signup, accounts, or paywalls.
Start with an outcome
Choose the result you need, then explore advanced prompts and workflows designed to help you move from inputs to a practical outcome.
Move from requirements to a tested, deployment-ready digital product.
Explore Build & ShipTurn repetitive work into a reliable process with controls and recovery steps.
Explore AutomationTurn datasets, spreadsheets and metrics into trustworthy findings and decisions.
Explore Data AnalysisCreate clearer priorities, handoffs, documentation and follow-through.
Explore Productivity & WorkflowsDevelop evidence-based marketing, content and growth execution.
Explore Marketing & GrowthDiagnose, correct, test and safely release changes to an existing codebase.
Explore Laravel & Software EngineeringSupporting free access to Amo.ng
Explore practical AI tools.
Get started with ChatGPT.
Use curated prompt sequences to move from inputs to a practical outcome.
Implement one tenant-isolated paid booking journey through identity, availability/reservation, hosted sandbox checkout, payment testing, security review, and release controls.
Implement an approved searchable directory, add bounded offline PWA behavior, protect its API contract, repair confirmed accessibility regressions, and prepare production verification and rollback controls.
Implement an approved knowledge-assistant architecture, integrate it into bounded support triage in sandbox or shadow mode, evaluate retrieval/citation/abstention quality, and prepare a controlled change decision.
Discover reusable AI capabilities powered by Amo.ng prompts and workflows.
Implement an approved marketing-site brief in an authorized repository, verify the actual change set, and prepare traceable release and rollback evidence without deploying it.
Implement an approved lead-routing contract across CRM sandbox configuration and disabled n8n staging orchestration, with synthetic reconciliation, retry evidence, and recovery controls.
Carry an owner-approved metric contract through an internal dashboard and disabled recurring report, then reconcile both outputs and prepare evidence for controlled release.
Prompts for debugging, refactoring, building features, reviewing security, improving performance, and guiding Codex through safe code changes.
View categoryPrompts for strategy, pricing, operations, decision-making, planning, and business execution.
View categoryPrompts for content strategy, topical authority, SEO briefs, internal linking, content refreshes, and search intent analysis.
View categoryPrompts for positioning offers, planning campaigns, refining landing pages, understanding objections, and improving conversion paths.
View categoryPrompts for building content calendars, repurposing long-form ideas, writing hooks, managing community replies, and publishing authority content.
View categoryPrompts for mapping workflows, designing no-code automations, debugging webhooks, and building AI-powered operations systems.
View categoryPrompts for lesson planning, tutoring, curriculum design, rubric creation, assessment, and diagnosing student misconceptions.
View categoryPrompts for literature reviews, source checks, interview planning, research questions, evidence tables, and synthesis workflows.
View categoryPrompts for weekly planning, deep work, decision triage, meeting follow-through, and personal knowledge systems.
View categoryPrompts for resumes, interviews, negotiation, career transitions, portfolios, and professional storytelling.
View categoryPrompts for auditing datasets, planning SQL analysis, defining dashboards, reviewing experiments, and checking causal assumptions.
View categoryPrompts for designing, testing, improving, and hardening reusable prompt systems.
View categoryPrompts people are viewing and copying most across Amo.ng.
Use Codex to reproduce a frontend state defect, trace its causal state transition, implement an authorized minimal patch, and produce evidence-backed regression verification.
A Codex coding prompt for proposing and, when authorized, implementing one metadata-driven static site system that serves distinct sale, ecosystem, active-destination, and fallback pages by hostname. It includes Cloudflare Workers controls, domain-inventory reconciliation, SEO checks, active-domain safeguards, and evidence-based reporting without assuming deployment or provider access.
Reconcile actuals, budget, and forecast; explain operating and accounting drivers; test cash runway scenarios; and produce evidence-linked actions, review gates, and executive decisions.
Turn customer feedback, product behavior, commercial signals, and delivery constraints into a traceable roadmap recommendation with explicit decision gates and verification evidence.
Map a manual business process, evaluate AI and deterministic automation opportunities, define human controls, and produce an evidence-linked implementation and validation plan.
Design an implementation-ready RAG architecture with governed retrieval, citations, tool boundaries, safety controls, evaluation tests, rollout gates, and evidence-based acceptance criteria.
Codebase-ready prompts for debugging, refactoring, deployment safety, testing, and production workflows.
Reproduce Next.js hydration failures, isolate server-client divergence, repair the smallest responsible boundary, and verify rendering across affected routes and environments.
Assess a FastAPI service for secure deployment, validated API boundaries, resilient workers, dependency safety, observability, operational ownership, rollback readiness, and evidence-based release approval.
Investigate a PostgreSQL query using plans, runtime statistics, locks, indexes, data shape, cache conditions, and controlled experiments before recommending a safe optimization.
Assess a Terraform plan’s real blast radius across resources, state, dependencies, services, and data before an authorized apply decision.
Diagnose failed Kubernetes rollouts, isolate the failing layer, choose a controlled recovery path, and verify service restoration using supplied evidence.
Reproduce intermittent test failures, isolate nondeterministic causes, implement a cause-specific fix, and measure reliability without hiding product defects.
Deep prompts for advanced AI users, builders, and teams working on serious workflows.
Design a governed prompt library for a department, including use-case mapping, prompt templates, naming rules, ownership, testing, version control, training, rollout, and maintenance practices.
Create a practical SOP for responsible team AI use, covering allowed use cases, restricted data, review rules, approval roles, escalation paths, and update cadence.
Design human review gates for AI-assisted workflows with quality criteria, escalation rules, reviewer rubrics, audit evidence, and risk-based approval paths.
Build an auditable AI workflow ROI measurement plan that reconciles baseline and pilot evidence, calculates net value, tests quality and risk guardrails, and supports a keep, improve, scale, pause, stop, or retest decision.
Create an evidence-traceable sensitive data handling checklist for an AI workflow, including data classification, minimization, tool and storage verification, approval gates, escalation paths, incident readiness, and acceptance criteria.
Convert pilot and operating evidence into a defensible decision on whether one AI initiative should scale, hold, redesign, or stop.
Practical prompts for planning, research, education, marketing, productivity, and business execution.
Validate international URL targeting, reciprocal hreflang clusters, locale codes, canonicals, redirects, indexability, sitemaps, templates, and rendered output using crawl evidence and post-release acceptance tests.
Diagnose paid-media creative fatigue by combining visual and video evidence, concept similarity, audience exposure, delivery patterns, outcome trends, confounders, and controlled refresh experiments.
Audit remote-team decision records for context, evidence, authority, dissent, commitments, supersession, follow-through, discoverability, access control, and reliable asynchronous execution.
Design a go-to-market experiment with hypothesis, audience, channels, offer, metrics, tracking plan, guardrails, decision rules, and readout plan.
Map internal SOP gaps to operational controls, owners, evidence, failure modes, remediation actions, review cadence, and audit readiness.
Review campaign operations readiness across tracking, attribution, routing, audience rules, consent, handoffs, reporting, and launch-risk controls before traffic goes live.
Recently published prompts from across the Amo.ng library.
Implement an internal operations dashboard from approved metric contracts, with source reconciliation, enforced access rules, observable data states, performance evidence, and a reversible release handoff.
Implement and verify CRM lead capture, consent, deduplication, qualification, routing, and SLA behavior in an authorized sandbox using synthetic test leads and disabled production activation.
Implement a repeatable KPI-reporting process from approved metric definitions, with traceable calculations, authoritative reconciliation, failure and rerun tests, disabled delivery, and recovery evidence.
Convert an approved n8n blueprint into a disabled importable workflow or staging implementation, with node-level traceability, synthetic execution evidence, retry tests, and rollback instructions.
Implement a bounded AI-assisted support-triage integration in a sandbox or shadow environment, with abstention, grounded drafting, routing, injection tests, manual fallback, and disablement evidence.
Implement one approved multi-tenant application journey with server-side tenant isolation across authorization, persistence, jobs, caches, storage, search, exports, tests, and rollback.
Implement one approved booking journey with explicit states, capacity invariants, transactional conflict prevention, timezone handling, sandboxed integrations, recovery, and concurrency evidence.
Implement one approved catalog-to-order journey using hosted checkout in a payment sandbox, with server-verified prices, signed webhooks, order-state integrity, reconciliation, and disabled fulfilment.
Implement an approved RAG knowledge assistant with entitlement-safe ingestion, traceable citations, abstention, evaluation evidence, and a reversible release handoff.
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