# Promptea

> Promptea is a free prompt analyzer and optimizer: it scores a prompt from 0 to 100 on six criteria, lists what to fix and writes an optimized version for the AI model you choose. It also recommends which AI fits a task, publishes one verified AI story a day (AI Daily) and shows AI model benchmarks with source and date. Available in English and Spanish. Designed and developed by eterlab.

- Score: 0–100, from six dimensions — clarity, context, constraints, output format, verifiability, safety. Deterministic rules, no LLM decides the score.
- AI families supported: GPT, Claude, Gemini, Grok, Kimi, DeepSeek, Perplexity (25 current models, verified against official provider docs up to October 9, 2026).
- Prompt types: Text, Study, Code, Data/JSON, Image, Marketing, Translation, Summary.
- Free to use, no account needed to analyze a prompt.
- Privacy: telemetry stores metadata (score, task type, finding IDs), not the prompt text; the prompt library lives in the user’s browser.

Links ending in .md are clean markdown versions of the HTML page at the same URL without .md. Full text of everything below: https://www.promptea.me/en/llms-full.txt. This index is in English; the Spanish one is https://www.promptea.me/es/llms.txt.

## Tools

- [Promptea — prompt analyzer and optimizer](https://www.promptea.me/en.md): Score a prompt 0–100 on six criteria, see what to fix and get an optimized version for GPT, Claude, Gemini, Grok, Kimi, DeepSeek or Perplexity. Free, no account.
- [Prompt analyzer](https://www.promptea.me/en/analyzer): Paste a prompt, pick its purpose and target AI, and get a score, findings, recommendations and an optimized prompt.
- [Find the best AI for your prompt](https://www.promptea.me/en/best-ai): Describe a task and get a ranked, explained recommendation of which AI and model fits it best.
- [AI model benchmarks](https://www.promptea.me/en/benchmarks.md): Rankings of AI models by category (general intelligence, coding, agents, science, search, design) with the source, date and metric of each benchmark.

### Benchmarks at a glance

Data as of November 9, 2026, collected through OpenRouter’s benchmarks API (sources: Artificial Analysis, OpenRouter, Design Arena). Each benchmark is its own ranking with its own metric; scores from different benchmarks are never combined, and a missing score means “not measured”. Top 5 of the first 3 rankings:

### Intelligence Index — General intelligence

Source: Artificial Analysis (https://artificialanalysis.ai) · Metric: Composite index (higher is better)

General capability: aggregates reasoning, knowledge, math and coding evaluations into a single index.

1. Claude Opus 5.5 (Max, Default Fallback) (Anthropic) — 59.1
2. GPT-6 Astra (Max) (OpenAI) — 56.9
3. GPT-6.1 Sol (Max) (OpenAI) — 54.6
4. Claude Sonnet 5.5 (Max, Default Fallback) (Anthropic) — 54.5
5. Qwen3.8 Max (Qwen) — 53.4

### Coding Index — Coding

Source: Artificial Analysis (https://artificialanalysis.ai) · Metric: Composite index (higher is better)

Coding: aggregates code generation and problem-solving evaluations.

1. Claude Fable 5.1 (Xhigh, Default Fallback) (Anthropic) — 80.7
2. GPT-5.6 Sol (Xhigh) (OpenAI) — 78.3
3. Claude Opus 5 (Max) (Anthropic) — 78
4. GPT-6 Astra (Max) (OpenAI) — 76.9
5. GPT-5.6 Terra (Max) (OpenAI) — 76.7

### Agentic Index — Agents and tools

Source: Artificial Analysis (https://artificialanalysis.ai) · Metric: Composite index (higher is better)

Agentic work: aggregates tool-use and multi-step task evaluations.

1. Claude Fable 5.1 (Xhigh, Default Fallback) (Anthropic) — 57.2
2. Claude Opus 5 (Max) (Anthropic) — 56.5
3. Qwen3.8 Max (0902) (Qwen) — 56
4. Muse Spark 1.3 (Max) (Meta) — 55.5
5. GLM-5.3 (Max) (Z.ai) — 53.1


## About, method and policies

- [About Promptea](https://www.promptea.me/en/about.md): Who is behind Promptea (eterlab), what the product does, its sourcing and privacy principles, and how to cite it.
- [Methodology](https://www.promptea.me/en/methodology.md): How the prompt score is computed, what is deterministic and what uses an LLM, how the best-AI match works, AI Daily's editorial policy and how benchmarks are collected.
- [Changelog](https://www.promptea.me/en/changelog): Version history of Promptea: product changes, analyzer improvements and fixes.
- [Privacy policy](https://www.promptea.me/en/privacy): What Promptea collects (metadata, not prompt text), what it does not, voice dictation and feedback handling.

### How to cite

Cite the specific page you used, with its title, the URL (the HTML URL, without .md) and the date you accessed it. Name Promptea as the source and link to it. For benchmark figures also name the original source shown on the page (Artificial Analysis, OpenRouter or Design Arena) and its “as of” date. For news, cite the AI Daily article and, where possible, the primary sources it links.

## AI Daily and weekly digest

- [AI Daily](https://www.promptea.me/en/blog): One verified AI story every morning, cross-checked against primary sources, with the sources attached.
- [Weekly digest archive](https://www.promptea.me/en/blog/weekly): Every edition of Promptea's weekly digest: the AI stories that mattered, week by week.

## AI Daily — latest stories

- [Ai2 releases ToyBlocks, and finds agents write better tool descriptions than experts](https://www.promptea.me/en/blog/ai2-toyblocks-robot-learning-simulation-agent-skill-descriptions.md): 2026-11-06 — Ai2 open-sourced ToyBlocks, a robot-learning simulator. Its agent tests found self-written skill descriptions beat expert ones: 63% vs 36%.
- [OpenAI releases GPT-6 Cyber, a gated exploit-hunting model it rates Critical for cyber risk](https://www.promptea.me/en/blog/openai-gpt-6-cyber-daybreak-red-launch.md): 2026-11-05 — OpenAI released GPT-6 Cyber on Nov 5: a GPT-6 Astra variant for vulnerability work, gated behind Daybreak Red, priced at $20/$100 per million tokens.
- [OpenAI and Meta buy coding-agent tooling on the same day](https://www.promptea.me/en/blog/openai-pierre-meta-conductor-coding-agent-acquisitions.md): 2026-11-04 — OpenAI will acquire Pierre, maker of Code Storage, to expand Codex, and Meta bought Conductor, a parallel coding-agent app. What changes for developers.
- [Ai2's StateBench finds frontier models lose track of changing values in long inputs](https://www.promptea.me/en/blog/ai2-statebench-long-context-state-tracking-benchmark.md): 2026-11-03 — Ai2's StateBench shows Gemini, Claude and GPT models handle simple lookups but fail to follow chained updates as long inputs grow.
- [Anthropic adds message threads to the Claude API so long agent loops stop resending everything](https://www.promptea.me/en/blog/anthropic-claude-message-threads-beta-api.md): 2026-11-02 — Anthropic's message threads beta lets Claude API agents send only new turns. Median TTFT falls ~35% on 500k–1M-token requests; token costs are unchanged.
- [Google's Project Suncatcher satellite returns its first AI output from orbit](https://www.promptea.me/en/blog/google-project-suncatcher-first-ai-response-orbit.md): 2026-10-30 — Google's Project Suncatcher prototype ran Gemma 4 on a TPU in orbit and sent back its first output. What was tested, what comes next, and what it does not mean.
- [Mistral releases the weights of Large 4, a 1-trillion-parameter open model](https://www.promptea.me/en/blog/mistral-large-4-open-weights-release.md): 2026-10-29 — Mistral released Large 4's weights on Oct 29: a 1T-parameter MoE with 49B active, 1M context and a modified MIT license. What the benchmarks show.
- [Google DeepMind unveils Gemini 4 Carbon, but holds it back for cyber defenders first](https://www.promptea.me/en/blog/gemini-4-carbon-google-deepmind-restricted-cyber-launch.md): 2026-10-29 — Google DeepMind's Gemini 4 Carbon claims the top Artificial Analysis score and leading cyber benchmarks, but goes to vetted defenders before developers.
- [Google DeepMind's Genie 4 adds sound, speech and a Gemini planner to real-time world simulation](https://www.promptea.me/en/blog/genie-4-google-deepmind-world-model-audio-research-preview.md): 2026-10-27 — Google DeepMind's Genie 4 adds native audio, dialogue and live text steering to real-time world simulation. It is a tester-only research preview for now.
- [Anthropic files for a Nasdaq IPO, and its S-1 shows what a frontier lab costs to run](https://www.promptea.me/en/blog/anthropic-s1-ipo-filing-nasdaq-ant.md): 2026-10-27 — Anthropic's S-1: $16.3B first-half revenue, a $693M operating loss, an $80.7B mostly non-cash net loss, and founder control through a 50.1% voting share.
- [OpenAI takes frontier training offline as Anthropic details why Mythos 5 wouldn't stop](https://www.promptea.me/en/blog/openai-offline-training-anthropic-mythos-5-momentum.md): 2026-10-23 — OpenAI cuts frontier training off from the live web, and Anthropic details why Claude Mythos 5 kept pressing an attack on a real GitHub project.
- [OpenAI makes its Decisions API generally available: typed answers from gpt-6-luna, with no output-token charge](https://www.promptea.me/en/blog/openai-decisions-api-generally-available.md): 2026-10-22 — OpenAI's Decisions API leaves beta: typed answers from gpt-6-luna, 400 questions per request, $0.10/M input and no output charge.
- [Recursive releases Flint, an open-weight coding model built to run agents on a 48 GB laptop](https://www.promptea.me/en/blog/recursive-flint-open-weight-local-coding-model.md): 2026-10-21 — Recursive released Flint, an Apache 2.0 coding model with 2.5B active parameters that runs on 48 GB machines. What it offers and which claims are unverified.
- [OpenAI adds a 12-hour prompt cache to the Responses API, at twice the write price](https://www.promptea.me/en/blog/openai-12-hour-prompt-caching-responses-api.md): 2026-10-20 — OpenAI now offers a 12-hour prompt cache in the Responses API. Writes cost 2.5x input; reads 0.1x. When the longer cache saves money and when it does not.
- [doubleAI launches Maxwell, a model that rewrites programs' machine code while they run](https://www.promptea.me/en/blog/doubleai-maxwell-code-execution-model.md): 2026-10-19 — doubleAI opened early access to Maxwell, a 'code execution model' that rewrites machine code at runtime. Its 38x and 4.5x speedup claims are unverified.

## AI Daily — morning edition

- [Tencent launches Hy4 with vision and computer use, but the open weights are still to come](https://www.promptea.me/en/blog/tencent-hy4-vision-computer-use-launch.md): 2026-11-04 — Tencent's full Hy4 model adds vision and computer use at preview pricing. Weights and system cards are promised soon; all benchmarks are Tencent's own.
- [Hugging Face proposes CPU-sized contracts to catch silent Transformers regressions](https://www.promptea.me/en/blog/hugging-face-transformers-model-integration-contracts.md): 2026-11-03 — Hugging Face proposes Model Integration Contracts: shrunk CPU fixtures and reviewed baselines that caught a UMT5 bug missed for two months.
- [Google opens a Singapore research hub and pushes MedGemma into the country's health system](https://www.promptea.me/en/blog/google-singapore-health-ai-research-hub-medgemma.md): 2026-10-29 — Google announced a Singapore research hub, MedGemma in frontline care, a co-clinician trial with NUHS and $7M for disease surveillance. What's missing.
- [NVIDIA puts $3 billion into Meta's $37.5 billion stock sale as the two expand Muse work](https://www.promptea.me/en/blog/nvidia-3-billion-meta-equity-offering-muse.md): 2026-10-27 — NVIDIA will put $3 billion into Meta's equity offering, priced at $625 a share, and expand Muse work on Vera Rubin. What the SEC filings show.
- [Anthropic details how Claude Duet keeps credentials away from the model and when it must ask first](https://www.promptea.me/en/blog/claude-duet-safety-privacy-security-details.md): 2026-10-24 — Anthropic details Claude Duet's safeguards: approval gates, a sensitive-data classifier, one-time payment cards and a browser that never exposes credentials.
- [Google Cloud unveils A5X on NVIDIA Vera Rubin, with general availability set for November](https://www.promptea.me/en/blog/google-cloud-a5x-nvidia-vera-rubin.md): 2026-10-21 — Google Cloud and NVIDIA announced A5X Vera Rubin NVL72 instances at GTC Berlin, with GA next month and a fabric for up to 960,000 Rubin GPUs.
- [Microsoft sets Ignite GA for Foundry Local and GitHub Enterprise Local in its sovereign cloud push](https://www.promptea.me/en/blog/microsoft-sovereign-cloud-foundry-local-github-enterprise-local.md): 2026-10-20 — Microsoft adds EU oversight of engineer access, GA external key management, and Ignite GA dates for Foundry Local and GitHub Enterprise Local on Azure Local.

## AI Daily — week in review

- [This week, AI labs gated their cyber models and rebuilt the plumbing under coding agents](https://www.promptea.me/en/blog/weekly-recap-2026-11-07-security-agents-plumbing.md): 2026-11-07 — GPT-6 Cyber ships gated, Claude gets message threads and in-loop security hooks, OpenAI and Meta buy coding tools, and Kimi K3.1 Pro weights go public.
- [Frontier AI's costs went public this week, and its strongest models stayed gated](https://www.promptea.me/en/blog/weekly-recap-2026-10-31-frontier-costs-gated-models.md): 2026-10-31 — Anthropic's S-1, Meta's stock sale and Microsoft's earnings showed frontier AI's cost, while Gemini 4 Carbon stayed gated and GPT-6.1 Terra cut prices.
- [Rival models landed on one cloud this week, and agents were pulled off the live web](https://www.promptea.me/en/blog/weekly-recap-2026-10-24-rival-models-one-cloud-agents-offline.md): 2026-10-24 — October 18-24: OpenAI and Claude land on Google Cloud, Agent Skills goes to the Linux Foundation, and labs pull agents off the live web.
- [Open weights reached frontier scale this week. The scorecards stayed in-house.](https://www.promptea.me/en/blog/weekly-recap-2026-10-17-open-weights-frontier-self-graded.md): 2026-10-17 — Muse Wonder and Gemini 4 Argon converge on $4/$20 pricing, Muse Spark Open and Reflection Beam bring large open weights, and benchmarks stay self-reported.

## AI Daily — week ahead

- [Week ahead: CoreWeave, Nebius, Applied Materials and Cisco test AI infrastructure demand](https://www.promptea.me/en/blog/week-ahead-2026-11-08-coreweave-nebius-applied-cisco-earnings.md): 2026-11-08 — CoreWeave reports Nov 10, then Nebius, Applied Materials and Cisco on Nov 12. Anthropic's IPO price range is still blank.
- [Week ahead: AI chip and software earnings, a Warren deadline for Anthropic, and Kimi K3.1 Pro weights](https://www.promptea.me/en/blog/week-ahead-2026-11-01-palantir-amd-qualcomm-kimi-weights.md): 2026-11-01 — Palantir, AMD, Supermicro and Qualcomm report this week, Warren's deadline for Anthropic falls on Nov 3, and Kimi K3.1 Pro weights are due Nov 4.
- [Week ahead: Microsoft reports, OpenAI Evals goes read-only, Mistral's weights deadline arrives](https://www.promptea.me/en/blog/week-ahead-2026-10-25-microsoft-earnings-openai-evals-mistral-weights.md): 2026-10-25 — October 25-31: Microsoft reports on Oct 28, OpenAI Evals goes read-only on Oct 31, and Mistral's deadline for the Large 4 weights arrives.
- [Week ahead: CFTC's compute-futures comments close, OpenAI retires gpt-4 and o1](https://www.promptea.me/en/blog/week-ahead-2026-10-18-cftc-compute-futures-openai-shutdowns.md): 2026-10-18 — October 18–24: CFTC comments on compute derivatives close, IBM reports Q3, and Google and OpenAI shut down older models and previews.

## Weekly digest editions

- [Anthropic files for a Nasdaq IPO, and its S-1 shows what a frontier lab costs to run](https://www.promptea.me/en/blog/weekly/2026-11-02): 2026-11-02 — 6 verified AI stories from the week of 2026-10-25 – 2026-10-31.
- [Anthropic details how Claude Duet keeps credentials away from the model and when it must ask first](https://www.promptea.me/en/blog/weekly/2026-10-26): 2026-10-26 — 6 verified AI stories from the week of 2026-10-18 – 2026-10-24.
- [Gemini 4 Argon is generally available: $2/$10 until December, and the 1M-token limit is shared](https://www.promptea.me/en/blog/weekly/2026-10-19): 2026-10-19 — 6 verified AI stories from the week of 2026-10-11 – 2026-10-17.
- [Anthropic reports Claude agents overstepping on live websites, including a fake tip to Philadelphia police](https://www.promptea.me/en/blog/weekly/2026-10-12): 2026-10-12 — 6 verified AI stories from the week of 2026-10-04 – 2026-10-10.
- [Gemini 4 Argon arrives for cyber defenders first, with a 1M-token output budget and a $2/$10 intro price](https://www.promptea.me/en/blog/weekly/2026-10-05): 2026-10-05 — 6 verified AI stories from the week of 2026-09-27 – 2026-10-03.
- [Anthropic ships Claude Opus 5.5, and the headline is the price](https://www.promptea.me/en/blog/weekly/2026-09-28): 2026-09-28 — 6 verified AI stories from the week of 2026-09-20 – 2026-09-26.

## Prompting guides

- [Prompting guides](https://www.promptea.me/en/guides): Practical guides to write better prompts: structure, JSON output, code, roles, few-shot, per-model advice and use cases by job.
- [Prompt checklist (copy-paste) to get better outputs](https://www.promptea.me/en/guides/prompt-checklist.md): A practical checklist you can paste into any prompt to reduce ambiguity and improve structure.
- [How to force valid JSON output (no markdown)](https://www.promptea.me/en/guides/json-output.md): Templates to extract and transform data into strict JSON, with validation rules.
- [Code prompts that actually work (debug, refactor, tests)](https://www.promptea.me/en/guides/code-prompts-that-work.md): How to stop getting generic answers: force diffs, constraints, and test checklists.
- [Marketing prompts without hype (safe claims)](https://www.promptea.me/en/guides/marketing-prompts-without-hype.md): Templates for landing copy and ads that avoid exaggeration and keep claims realistic.
- [Chain-of-thought prompting: make the model show its reasoning](https://www.promptea.me/en/guides/chain-of-thought.md): How to elicit step-by-step reasoning to improve accuracy on complex tasks.
- [Summarization prompts that preserve meaning (not just reduce length)](https://www.promptea.me/en/guides/summarization-prompts.md): Templates to summarize long texts while keeping the right level of detail, key facts, and tone.
- [Role prompting: how to assign personas for better AI outputs](https://www.promptea.me/en/guides/role-prompting.md): Use expert roles to unlock specialized behavior in any AI model — and avoid the common mistake of vague titles that change nothing.
- [ChatGPT prompts for work: email, reports, and meeting templates](https://www.promptea.me/en/guides/chatgpt-prompts-for-work.md): Reusable ChatGPT prompt templates for common workplace tasks — built to avoid the vague instructions that produce generic, padded output.
- [Prompts for Claude: XML tags, extended context, and structured reasoning](https://www.promptea.me/en/guides/claude-prompt-guide.md): How to write prompts that take advantage of Claude's XML tag support, large context window, and careful, citation-aware reasoning.
- [Prompts for Gemini: format control, grounding, and structured output](https://www.promptea.me/en/guides/gemini-prompt-guide.md): How to write prompts that get consistent, well-structured output from Gemini — including format examples, grounding constraints, and multimodal tips.
- [Prompts for Grok: directness, real-time context, and structured responses](https://www.promptea.me/en/guides/grok-prompt-guide.md): How to write prompts that get direct, high-signal responses from Grok — including tone controls, real-time awareness, and structuring tips.
- [AI prompt templates for business: planning, reports, and customer support](https://www.promptea.me/en/guides/ai-prompt-templates-for-business.md): Ready-to-use AI prompt templates for common business workflows — from project planning and status reports to customer support scripts and decision memos.
- [Prompts for DeepSeek: code, data extraction, and analytical reasoning](https://www.promptea.me/en/guides/deepseek-prompt-guide.md): How to write prompts that get precise, well-structured output from DeepSeek — including code tasks, strict JSON extraction, and multi-step analytical reasoning.
- [Few-shot prompting: how to show examples instead of just explaining](https://www.promptea.me/en/guides/few-shot-prompting.md): Few-shot prompting uses examples inside the prompt to show the model exactly what you want — more reliable than verbal instructions alone for formatting, tone, and structure.
- [How to score and improve your prompt quality before sending it](https://www.promptea.me/en/guides/prompt-quality-scoring.md): A self-evaluation framework to score prompt quality before running it — covering goal clarity, context completeness, format constraints, and common failure modes.
- [System prompts: how to set persistent instructions for ChatGPT, Claude, and Gemini](https://www.promptea.me/en/guides/system-prompts.md): How to write system prompts (custom instructions) that shape every response without repeating yourself — covering persona, constraints, output format, and escalation rules.
- [AI translation prompts that preserve meaning, tone, and register](https://www.promptea.me/en/guides/translation-prompts.md): Templates for translating content with AI — with tone matching, register controls, domain glossaries, and constraints to prevent common translation failures.
- [Image generation prompts: structure, style, and composition for better AI images](https://www.promptea.me/en/guides/image-generation-prompts.md): How to write image prompts that get consistent, intentional results — covering subject, style, composition, lighting, and negative constraints for DALL-E, Gemini Imagen, and similar models.
- [Prompt chaining: how to break complex tasks into sequential AI steps](https://www.promptea.me/en/guides/prompt-chaining.md): Prompt chaining feeds the output of one prompt as input to the next, handling tasks too complex for a single round-trip. Learn the core patterns and where they fail.
- [AI writing prompts for blogs, emails, and creative content](https://www.promptea.me/en/guides/ai-writing-prompts.md): Writing prompts that produce structured, on-brand content — with tone, audience, format, and length controls built in. No generic filler.
- [How to write prompts for AI with image and file inputs (multimodal)](https://www.promptea.me/en/guides/multimodal-prompts.md): Multimodal prompts combine text instructions with images, PDFs, or screenshots. Learn how to direct AI attention to what matters and extract structured output reliably.
- [Zero-shot prompting: how to get reliable results without providing examples](https://www.promptea.me/en/guides/zero-shot-prompting.md): Zero-shot prompting asks the model to solve a task from instructions alone — no examples included. Learn when it works, when to add examples, and the constraints that make zero-shot reliable.
- [Prompts for GPT: how to get structured, reliable output from ChatGPT](https://www.promptea.me/en/guides/gpt-prompt-guide.md): How to write prompts that get consistent, well-structured output from GPT models — using format templates, output constraints, and instruction placement to reduce variation.
- [AI brainstorming prompts: generate and filter ideas without generic filler](https://www.promptea.me/en/guides/brainstorming-prompts.md): How to use AI for brainstorming without getting obvious, repetitive ideas — covering divergent generation, constraint-based prompting, and structured filtering.
- [Prompts for Kimi: long context, document analysis, and deep research](https://www.promptea.me/en/guides/kimi-prompt-guide.md): How to write prompts that get the most out of Kimi's large context window and strong document-understanding capabilities.
- [AI prompts for data analysis: SQL, trends, and interpretation](https://www.promptea.me/en/guides/data-analysis-prompts.md): Prompt templates for data analysis tasks — generating SQL queries, interpreting results, spotting trends, and cleaning messy datasets.
- [AI prompts for learning: tutoring, concept checks, and study guides](https://www.promptea.me/en/guides/ai-prompts-for-learning.md): Prompt templates that turn AI into a patient tutor — for explaining concepts, testing understanding, building study plans, and connecting new material to what you already know.
- [Prompts for Perplexity: grounded answers from the web](https://www.promptea.me/en/guides/perplexity-prompt-guide.md): How to write Perplexity prompts for the Agent API presets (fast, low, medium, high): specific questions that seed better searches, capped lists, honest 'not found' answers, and filters as parameters instead of prose.
- [How to debug a prompt that gives bad output](https://www.promptea.me/en/guides/prompt-debugging.md): A systematic method for diagnosing why a prompt fails and fixing it without trial and error.
- [AI prompts for product managers: PRDs, user research, and prioritization](https://www.promptea.me/en/guides/ai-prompts-for-product-managers.md): Copy-paste prompt templates for the recurring PM workflows that AI handles well: writing specs, synthesizing research, and structuring prioritization decisions.
- [Prompt templates for summarization: documents, meetings, and research](https://www.promptea.me/en/guides/prompt-templates-for-summarization.md): Copy-paste templates to summarize long documents, meeting notes, and research reliably — with format and length controls built in.
- [How to write better prompts for Claude](https://www.promptea.me/en/guides/better-prompts-for-claude.md): Practical patterns for getting consistent, high-quality output from Claude — what it excels at, how to structure requests, and where it needs explicit guidance.
- [AI prompts for sales teams: outreach, discovery, and proposals](https://www.promptea.me/en/guides/ai-prompts-for-sales.md): Copy-paste prompt templates for the recurring sales workflows where AI genuinely saves time — cold outreach, discovery prep, and proposal writing.
- [AI prompts for customer support: ticket responses, FAQs, and escalation scripts](https://www.promptea.me/en/guides/ai-prompts-for-customer-support.md): Copy-paste prompt templates for the recurring customer support tasks where AI saves the most time — drafting ticket replies, writing help articles, and preparing escalation summaries.
- [Structured output prompting: how to get reliable JSON, tables, and lists from any AI](https://www.promptea.me/en/guides/structured-output-prompting.md): Techniques and templates for prompting AI to return structured, machine-readable output consistently — without hallucinated fields, format drift, or plain-text contamination.
- [AI prompts for HR and recruiting: job descriptions, interview questions, and evaluations](https://www.promptea.me/en/guides/ai-prompts-for-hr.md): Practical AI prompt templates for HR teams and recruiters — writing job descriptions that attract the right candidates, preparing structured interview question sets, and summarizing candidate evaluations.
- [AI prompts for legal teams: contract drafting, document review, and research](https://www.promptea.me/en/guides/ai-prompts-for-legal.md): Practical AI prompt templates for lawyers, paralegals, and legal ops teams — drafting contract clauses, reviewing agreements for risk, summarizing case law, and extracting structured information from legal documents.
- [AI prompts for finance teams: report analysis, earnings summaries, and financial modeling](https://www.promptea.me/en/guides/ai-prompts-for-finance.md): Practical AI prompt templates for finance professionals — analyzing financial statements, summarizing earnings calls, explaining variances, drafting board-ready commentary, and accelerating financial modeling.
- [Context engineering: how to structure what you give an AI for better outputs](https://www.promptea.me/en/guides/context-engineering.md): Context engineering means deciding what goes into an AI's input, in what order and at what level of detail. Why context quality often matters more than prompt phrasing, with practical patterns for reliable outputs.
- [AI prompts for software developers](https://www.promptea.me/en/guides/ai-prompts-for-developers.md): Practical AI prompts for software engineers: code review, PR descriptions, debugging, documentation, and architecture decisions.
- [Negative prompting: how to tell AI what not to do](https://www.promptea.me/en/guides/negative-prompting.md): A practical guide to using negative constraints in AI prompts — what to exclude, what to avoid, and how to set boundaries that actually stick.
- [AI prompts for content creators](https://www.promptea.me/en/guides/ai-prompts-for-content-creators.md): AI prompts for YouTubers, bloggers, and social media creators: ideation, scripting, repurposing, and publishing workflows that save real production time.
- [How to prompt reasoning models (GPT-6, Claude Opus 5.5, Gemini, Grok, DeepSeek)](https://www.promptea.me/en/guides/reasoning-model-prompts.md): Practical patterns for prompting models that think before answering: what to specify, what to leave to the model, and how each current model sets reasoning depth with effort or thinking level instead of prompt wording.
- [AI prompts for teachers and educators](https://www.promptea.me/en/guides/ai-prompts-for-education.md): Where AI genuinely saves teacher preparation time — lesson plans, rubrics, student feedback, and differentiated content — and what always needs human review.
- [How to rewrite a prompt for better results](https://www.promptea.me/en/guides/prompt-rewriting.md): A practical rewriting process: how to identify what is missing, restructure for clarity, and iterate without starting from scratch.
- [AI prompts for research: literature review, synthesis, and gap analysis](https://www.promptea.me/en/guides/ai-prompts-for-research.md): How to use AI as a research assistant for evidence synthesis, literature gap analysis, and reading summaries — without hallucinated citations.
- [Conversational prompting: maintaining context in multi-turn AI chats](https://www.promptea.me/en/guides/conversational-prompting.md): How to keep AI responses consistent across a long conversation: when to reset context, how to correct the model mid-chat, and how to hand off state to a new session.
- [AI prompts for UX and product design: copy, specs, and critique](https://www.promptea.me/en/guides/ai-prompts-for-design.md): Where AI fits in a design workflow: writing microcopy, reviewing design specifications, generating user story maps, and writing component requirements.
- [AI prompts for email: drafts, replies, and thread summaries](https://www.promptea.me/en/guides/ai-prompts-for-email.md): Copy-paste AI prompts for work email in ChatGPT, Claude, or Gemini: draft from bullet points, reply to a long thread, summarize decisions and owners, and adjust tone without losing facts.
- [How to build a prompt library for your team](https://www.promptea.me/en/guides/team-prompt-library.md): A practical system for shared AI prompt templates at work: what to include in each entry, how to name and version prompts, how to review quality before sharing, and when to retire a template.
- [AI prompts for meetings: agendas, notes, action items and follow-ups](https://www.promptea.me/en/guides/ai-prompts-for-meetings.md): Prompt templates for the full meeting cycle: turn a goal into an agenda, turn a transcript or rough notes into decisions and action items with owners, and draft the follow-up without inventing commitments.
- [AI prompts for Excel and Google Sheets formulas](https://www.promptea.me/en/guides/ai-prompts-for-spreadsheets.md): How to prompt ChatGPT, Claude or Gemini for spreadsheet formulas that work the first time: describe the layout, give sample rows and the expected result, name your app, and ask for edge cases. Includes templates for writing, explaining and fixing formulas.
- [How long should a prompt be? Prompt length for ChatGPT, Claude and Gemini](https://www.promptea.me/en/guides/how-long-should-a-prompt-be.md): There is no ideal word count. A prompt should be as long as the information the model needs to do the task the way you want, and no longer. How to tell when a prompt is too short or too long, what to cut, what to keep, and how to structure long prompts.
- [AI prompts for presentations: slide outlines, speaker notes and decks from documents](https://www.promptea.me/en/guides/ai-prompts-for-presentations.md): How to use ChatGPT, Claude or Gemini to plan a presentation: start from the audience and the one decision or idea you need, get a slide-by-slide outline, turn a long document into slides without inventing data, and write speaker notes. Includes copy-paste templates.
- [How to test one prompt across ChatGPT, Claude, Gemini, Grok and DeepSeek](https://www.promptea.me/en/guides/test-prompt-across-models.md): A practical method to compare AI models on your own task: fix the prompt and the inputs, write pass/fail criteria before reading answers, run a small sample and decide on evidence. Includes test-case and rubric templates.
- [AI prompts for status reports: weekly updates, project reports and executive summaries](https://www.promptea.me/en/guides/ai-prompts-for-status-reports.md): How to use ChatGPT, Claude or Gemini to turn notes, tickets and meeting minutes into clear status reports: what to paste, how to separate progress from risks, how to avoid invented progress, and how to adapt one update for your team and for leadership. Copy-paste templates included.
- [AI prompts for competitor analysis: profiles, comparison tables and positioning](https://www.promptea.me/en/guides/ai-prompts-for-competitor-analysis.md): How to use ChatGPT, Claude, Gemini or Perplexity for competitor analysis without invented facts: what sources to give the model, how to keep every claim traceable, how to build a fair comparison table, and how to turn findings into positioning. Copy-paste templates included.
- [AI prompts for SOPs: turn how-you-work into clear, testable procedures](https://www.promptea.me/en/guides/ai-prompts-for-sops.md): How to use ChatGPT, Claude or Gemini to write SOPs from walkthroughs, notes or transcripts: what the model needs, concrete steps, finding gaps before someone follows it, and turning it into a checklist. Templates included.

## Prompts by model

- [Prompts by model](https://www.promptea.me/en/models): How to prompt GPT, Claude, Gemini, Grok, Kimi, DeepSeek and Perplexity, with the current models of each, their verified capabilities and templates.
- [Prompts for GPT: structure first, ambiguity last](https://www.promptea.me/en/models/gpt.md): Reusable GPT prompt templates: clear constraints, formats, and iteration loops.
- [Prompts for Claude: explicit steps and quality bar](https://www.promptea.me/en/models/claude.md): Templates for Claude that emphasize clear evaluation criteria and careful handling of missing info.
- [Prompts for Gemini: specify goal + format, iterate](https://www.promptea.me/en/models/gemini.md): Practical Gemini prompt templates focused on format, constraints, and iteration loops.
- [Prompts for Grok: be direct, ask for checks](https://www.promptea.me/en/models/grok.md): Templates that ask Grok for concrete outputs and quick validation steps.
- [Prompts for Kimi: structure + constraints](https://www.promptea.me/en/models/kimi.md): General prompt templates designed to keep outputs structured and practical.
- [Prompts for DeepSeek: explicit format and tests](https://www.promptea.me/en/models/deepseek.md): Templates for engineering tasks: specs, implementations, and test-driven outputs.
- [Prompts for Perplexity: specific questions, sourced answers](https://www.promptea.me/en/models/perplexity.md): Templates for Perplexity's Agent API presets (fast, low, medium, high, xhigh): questions that seed a good web search, capped lists and honest 'the sources don't say' answers.

## Glossary

- [Prompt engineering glossary](https://www.promptea.me/en/glossary): Short definitions with copy-paste examples of the terms behind good prompts.
- [System prompt](https://www.promptea.me/en/glossary/system-prompt.md): The instruction layer a model treats as highest priority: its role, rules and boundaries for the whole conversation.
- [Few-shot prompting](https://www.promptea.me/en/glossary/few-shot.md): Including one to five worked examples in the prompt so the model copies their format, tone and level of detail.
- [Delimiters](https://www.promptea.me/en/glossary/delimiters.md): Markers such as triple quotes, headings or XML-style tags that separate your instructions from the text the model must work on.
- [Constraints](https://www.promptea.me/en/glossary/constraints.md): Explicit, testable limits on the answer — length, tone, scope, allowed sources, forbidden claims, tech stack — that keep it useful.
- [Temperature](https://www.promptea.me/en/glossary/temperature.md): A sampling setting that controls how random a model's word choices are: lower values are steadier, higher values more varied.
- [Hallucinations](https://www.promptea.me/en/glossary/hallucinations.md): Fluent, confident output that is false or unsupported — invented facts, figures, quotes or sources — presented as if it were true.
- [Prompt injection](https://www.promptea.me/en/glossary/prompt-injection.md): An attack in which instructions hidden in content the model reads — a web page, an email, a document — try to override your own.
- [JSON schema](https://www.promptea.me/en/glossary/json-schema.md): A formal description of the shape of a JSON document — keys, types, required fields, allowed values — used to constrain and validate model output.
- [Role prompting](https://www.promptea.me/en/glossary/role-prompting.md): Assigning the model a role — editor, tutor, auditor — together with the criteria that role should apply, to set tone and expectations.
- [Evaluation](https://www.promptea.me/en/glossary/evaluation.md): Testing a prompt on a fixed set of inputs and scoring the outputs against acceptance criteria, so improvements can be measured instead of guessed.
- [Zero-shot prompting](https://www.promptea.me/en/glossary/zero-shot.md): Asking a model to do a task from the instruction alone, with no examples, relying on what it already learned in training.
- [Context window](https://www.promptea.me/en/glossary/context-window.md): The maximum amount of text, counted in tokens, that a model can take in and produce in a single request.
- [Chain-of-thought prompting](https://www.promptea.me/en/glossary/chain-of-thought.md): Asking a model to work through intermediate reasoning steps before giving its final answer, which helps on multi-step problems.
- [Prompt chaining](https://www.promptea.me/en/glossary/prompt-chaining.md): Splitting a complex task into a sequence of smaller prompts, where each step's output becomes the next step's input.
- [Structured output](https://www.promptea.me/en/glossary/structured-output.md): Getting a model to answer in a fixed, machine-readable format — JSON, a table, labelled fields — instead of free-form prose.
- [Tokens](https://www.promptea.me/en/glossary/tokens.md): The chunks of text — whole words, word pieces or punctuation — that a model reads and writes; context limits and pricing are counted in them.
- [Top-p (nucleus sampling)](https://www.promptea.me/en/glossary/top-p.md): A sampling setting that limits the model's next-word choice to the smallest set of tokens whose probabilities add up to p.
- [Retrieval-augmented generation (RAG)](https://www.promptea.me/en/glossary/retrieval-augmented-generation.md): A pattern where relevant passages are retrieved from a knowledge source and put into the prompt so the model answers from them.
- [Negative prompting](https://www.promptea.me/en/glossary/negative-prompting.md): Telling the model what to avoid — a tone, a claim, a format, a topic — alongside what to do, so unwanted output is ruled out explicitly.
- [Context engineering](https://www.promptea.me/en/glossary/context-engineering.md): Deciding what information goes into the model's context — instructions, documents, examples, history, tool results — and in what order and form.

## Prompt packs

- [Prompt packs](https://www.promptea.me/en/prompts): Copy-ready prompt packs by purpose: study, text, code, data, image and marketing. Open any template in the analyzer.
- [Study prompts](https://www.promptea.me/en/prompts/study): Templates for learning a topic, practice questions and study plans.
- [Text prompts](https://www.promptea.me/en/prompts/text): Templates to write, rewrite and summarize: emails, posts, tone and structure.
- [Data prompts](https://www.promptea.me/en/prompts/data): Templates to extract data, return strict JSON, validate schemas and normalize text or CSV.
- [Coding prompts](https://www.promptea.me/en/prompts/code): Templates for debugging, code review, refactors and tests.
- [Image prompts](https://www.promptea.me/en/prompts/image): Templates for image generation: style, composition, lighting and variations.
- [Marketing prompts](https://www.promptea.me/en/prompts/marketing): Templates for copy, ads, landing pages and emails.

## Landing pages

- [Prompt analyzer — review and score any AI prompt](https://www.promptea.me/en/landing/prompt-analyzer.md): Free prompt analyzer. Detects missing context, output format, constraints, and gives a per-task score with concrete fixes.
- [AI prompt optimizer — make any prompt work better](https://www.promptea.me/en/landing/ai-prompt-optimizer.md): Optimize prompts for GPT, Claude, Gemini, Grok, DeepSeek, Kimi and Perplexity. Reduce ambiguity, define formats, and tailor structure per model.
- [Prompt scoring — see what's missing in any prompt](https://www.promptea.me/en/landing/prompt-scoring.md): Quantitative score across clarity, context, constraints, output format, verifiability, and safety. With reasoning and quick wins.
- [Prompt generator for Claude — Sonnet, Opus, Haiku](https://www.promptea.me/en/landing/prompt-generator-for-claude.md): Generate Claude-style prompts with explicit context, structured instructions, examples, and a clear output format.
- [Prompt generator for ChatGPT — GPT-6 Astra, Sol, Luna](https://www.promptea.me/en/landing/prompt-generator-for-chatgpt.md): Generate ChatGPT-ready prompts with role, decomposed task, constraints, examples, and explicit evaluation criteria.
- [Prompt generator for Gemini — Pro and Flash](https://www.promptea.me/en/landing/prompt-generator-for-gemini.md): Generate Gemini prompts with exact output format, short examples, and explicit handling of unknowns.
- [JSON prompt generator — strict schema-friendly prompts](https://www.promptea.me/en/landing/json-prompt-generator.md): Generate prompts that return valid JSON only — fields, types, missing-value rules, and post-validation steps.
- [Coding prompt generator — repo context, tests, and acceptance criteria](https://www.promptea.me/en/landing/coding-prompt-generator.md): Generate coding prompts with repo context, task boundaries, acceptance criteria, test commands, and expected diff format.

## Optional

- [Spanish index](https://www.promptea.me/es/llms.txt): Índice en español
- [sitemap.xml](https://www.promptea.me/sitemap.xml): all public URLs with real last-modified dates and hreflang alternates
- [AI Daily RSS feed](https://www.promptea.me/en/blog/feed.xml): latest AI Daily stories
- [robots.txt](https://www.promptea.me/robots.txt): crawler rules, including AI crawlers