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> AI prompts · tools · guides

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Turn any task into a proven, ready-to-run prompt. Whizz gives solopreneurs a library of 20,000+ prompts, tools, and guides — built for real business work.

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Your prompt
a fundraising deck for a mobile financing app called Induitive
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Describe a task. Get a pro prompt.

Type what you’re trying to do and pick a focus. Whizz rewrites it into a structured, copy-ready prompt.

e.g. a fundraising deck for a mobile financing app called Induitive
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e.g. landing page copy for a productivity app free trial
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e.g. a 90-day go-to-market plan for a solo consultancy
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e.g. a REST API endpoint with input validation and unit tests
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e.g. a churn analysis brief from a 12-month subscription export
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> AI Guides

Learn the tools,
ship faster.

Step-by-step playbooks that take you from install to production with the AI tools that matter.

Why AI outputs sound generic, and how to fix it

Generic output is a predictable result of a generic prompt. Three changes that fix it in most cases.

Using AI safely with customer data

What to check before pasting anything that belongs to a customer into an AI tool.

Building a prompt library your team will actually use

Why most internal prompt libraries go stale, and what the ones that survive do differently.

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> Prompts library

20,000 prompts,
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Filter by role, model and use case. Every prompt is tested, tagged and ready to paste.

  • Ultimate

Build a bottom-up market size you can defend, with every assumption exposed and testable.

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  • Ultimate

Turn a screen-share transcript into a standard operating procedure someone else could follow.

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  • Free

Extract decisions, owners and deadlines from messy notes, and flag what was left unresolved.

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  • Starter

Compare shortlisted vendors against criteria you weighted before you saw any of the answers.

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  • Starter

Explain an inherited formula in plain language, then say what breaks it and how to simplify it.

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  • Ultimate

Turn a one-line company description into a twelve-slide narrative with the argument made explicit.

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  • Starter

A monthly update that leads with the numbers, names the problems, and makes a specific ask.

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  • Pro

Write tier names, feature lists and the framing that makes the middle plan the obvious choice.

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  • Free

Build on-brand replies for your most common tickets, with placeholders for the personal detail.

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  • Starter

Turn a resolved ticket thread into a structured help article other customers can find.

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  • Starter

A reply that lowers the temperature, owns what is ours, and offers a concrete next step.

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  • Pro

Review an existing macro library for tone drift, outdated instructions and gaps.

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> Courses

Learn something new.

Short, practical courses that turn AI curiosity into a repeatable skill.

Apache · PHP, CSS, JS · Software Development

With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You’ll feel empowered to have conversations about big data and the data analysis process.

C++ · Software Development

With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You’ll feel empowered to have conversations about big data and the data analysis process.

Software Development · Unity

With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You’ll feel empowered to have conversations about big data and the data analysis process.

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