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Daily AI Intel

Free AI Tools

Small, focused tools that run entirely in your browser — no account, no signup, and no data sent anywhere. Built to answer the practical questions that come up while actually using AI tools: what will this cost, which model fits, what should I actually type.

AI Cost Calculator

Estimate what a prompt will actually cost to run across ChatGPT, Claude, and Gemini's current API pricing — per request and at monthly volume.

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AI Model Comparison

A sortable, filterable table comparing current OpenAI, Anthropic, and Google model pricing and context window sizes side by side.

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Prompt Template Library

Copy-paste prompt templates for business, writing, coding, and image generation — organized by use case, ready to adapt and use.

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AI Subscription Comparison

Every current ChatGPT, Claude, Gemini, and Perplexity consumer plan and price, side by side — not API pricing, the actual monthly subscriptions.

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Token Counter

Paste any text to see an estimated token count, word count, and character count, plus context window headroom.

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Context Window Fit Checker

See whether a document, codebase, or block of text fits inside current AI model context windows — paste text or pick a preset.

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Prompt Builder

Fill in role, task, context, format, and constraints to generate a clear, ready-to-copy AI prompt.

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Prompt Quality Grader

Paste a prompt and get an instant score plus specific suggestions for making it clearer and more effective.

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AI Model Picker Quiz

Answer four quick questions about your task to get a recommended model tier — budget, balanced, or flagship.

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AI Glossary

A searchable glossary of AI and machine learning terms, explained in plain English.

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AI Time-Savings Calculator

Estimate how many hours and how much money using AI for a repeated task could save you per month.

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Caching & Batch Savings Calculator

Estimate how much prompt caching or the Batch API could save on repeated or high-volume AI requests.

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Is This a Good Use Case for AI?

A quick checklist covering stakes, verifiability, repetitiveness, and data sensitivity to guide whether a task is a good fit for AI.

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