1. Overview
Thothful helps you turn one topic into many high-quality web search queries.
- It does not replace your search engine.
- Instead, it uses AI and data science to propose 5β30 diverse queries that you can run on Google (or another search engine) with a single click.
- Each query is designed to reflect a different, meaningful angle on your original topic.
Think of it as a query design assistant: you decide the topic and priorities; it helps you formulate better searches.
2. Core Ideas Behind the Tool
2.1 Meaning Space, Not Keyword Matching
Rather than simply adding keywords, the system models your topic as a point in a semantic space. It then explores nearby regions of that space to find:
- Different wordings for the same idea
- Related questions and subtopics
- Adjacent fields and expert domains
Your inputs (topic, "Also Known As", etc.) help the system understand which regions of this space are most relevant to you.
2.2 Steering, Not Copying
When you add items to "Also Known As", "I Want to Know About", and "Related Fields", they are used as concept hints:
- Hints steer the AI toward certain directions (e.g., "costs", "beginner tutorials", "safety")
- Hints are not copied verbatim into every query
- Different combinations of hints lead to different queries
This is why diverse, specific hints produce richer results.
3. The Main Screen at a Glance
You'll typically see four stages:
- Define Your Topic β Describe what you want to explore in 4β6 words.
- Refine the Context β Optionally add or edit hints ("Also Known As", "I Want to Know About", "Related Fields").
- Control Breadth & Volume β Adjust how far the system should explore around your topic and how many queries you want.
- Review and Use Results β Copy, export, or click queries to launch them in your browser.
This guide focuses on how to get the most from stages 1 and 2, because better inputs produce better queries.
4. Step 1 β Define a Strong Topic
Your topic is the single most important input. The system works best when your topic:
- Uses 4β6 words
- Describes a specific goal, audience, or context
- Is not a full sentence, and not just one broad word
4.1 Examples of Good Topics
beginner aws python hostingitalian cooking for beginnerssustainable home vegetable gardeningmachine learning for medical diagnosis
Each one defines who (beginner, home, medical) and what (hosting, cooking, gardening, diagnosis).
4.2 Common Pitfalls
cookingitalian cooking for beginnersawsaws lambda python deploymentfoodmediterranean diet health benefitspythonpython web scraping tutorialIf your queries feel unfocused or strange, revisit your topic first.
5. Step 2 β Refine the Context (Optional but Recommended)
The context fields let you express what you really care about. They guide the generator to produce queries that match your intent.
5.1 Also Known As
Purpose: Capture alternate names, synonyms, or phrases for your topic.
Use this for:
- Abbreviations and acronyms
- Informal vs. formal phrasing
- How different communities describe the same thing
Example β Topic: "beginner aws python hosting"
- aws python setup tutorial
- deploy python app to aws
- first aws project python
- cloud hosting python beginners
Tip: If you searched for your topic last week, what phrases did you actually type? Add those here.
5.2 I Want to Know About
Purpose: Spell out the subtopics, questions, or angles you care about.
The system treats these as "chapters" it can explore when it designs queries.
Example β Topic: "beginner aws python hosting"
- ec2 instance setup steps
- rds postgresql configuration
- aws free tier limitations
- security groups for web apps
- connecting domain name to aws
- estimated monthly costs
For research-style work, you can include:
- specific populations ("adults over 60", "high school students")
- methods ("randomized controlled trials", "case studies")
- outcomes ("learning outcomes", "error rates", "user satisfaction")
Guideline: If several items all sound like slight rephrasings of the same idea, consolidate them into one clearer item.
5.3 Related Fields
Purpose: Tell the system which expert domains are relevant.
These keep queries anchored in the right disciplines and context.
Examples for various topics
- beginner aws python hosting β cloud computing, devops, web development, system administration
- sustainable home vegetable gardening β horticulture, permaculture, urban farming
- machine learning for medical diagnosis β medical imaging, clinical decision support, data science, statistics
You don't have to be precise; approximate labels are fine.
6. Using "Suggest Ideas" Effectively
If you're not sure what to add, click Suggest Ideas. The system will:
- Propose alternate names in Also Known As
- Suggest concrete aspects for I Want to Know About
- Offer candidate Related Fields
Treat this as a first draft, then:
- Delete items that are clearly off-target.
- Edit vague items to be more specific to your real interest.
- Add any missing questions or terms that matter to you.
For researchers, you might add:
- population descriptors (e.g., "adolescents", "postoperative patients")
- study types (e.g., "systematic reviews", "meta-analysis")
- contexts (e.g., "primary care settings", "online education")
7. Step 3 β Generate and Interpret Results
When you click Generate, the system:
- Samples combinations of your hints.
- Uses them to steer an AI model that proposes many candidate queries.
- Removes near-duplicates and overly similar phrasing.
- Returns a list of distinct, search-ready queries.
Each query:
- Is designed to be a practical web search (roughly 5β12 words).
- Targets a different aspect or angle of your topic.
- Can be launched directly in your browser.
You may also see metrics such as:
- Queries generated vs. after dedupe β how many unique queries survived filtering.
- Mean pairwise distance β how spread out the queries are in meaning (higher = more diverse).
For research workflows, you can:
- Copy all queries into a document or reference manager.
- Tag which queries produced the most relevant sources.
- Use the best-performing queries as templates and regenerate with adjusted hints.
8. Worked Example
8.1 Scenario β Planning a Home Solar Project
1. Topic: residential solar energy for small homes
2. Also Known As: home solar power, rooftop solar panels, residential pv systems
3. I Want to Know About: installation costs, battery storage options, net metering, payback period, local incentives, diy vs professional installation
4. Related Fields: sustainable energy, electrical engineering, home improvement
After generation, you might see queries like:
- best residential solar panel systems for small homes
- payback period for rooftop solar panels with battery storage
- local net metering policies for residential solar customers
- diy vs professional solar panel installation pros and cons
Each query opens a different "research lane" while still reflecting your core goal.
9. Troubleshooting and Optimization
9.1 Queries Look Too Similar
Possible causes:
- Topic is very narrow.
- "I Want to Know About" items are variations on one idea.
What to try:
- Broaden the topic slightly (e.g., from "solar panel payback period" to "residential solar energy costs").
- Add new aspects: regulations, financing, long-term maintenance, technology comparisons.
9.2 Queries Drift Off-Topic
Possible causes:
- Topic is vague ("technology in education").
- "Also Known As" includes terms from a different domain.
What to try:
- Clarify the topic: "technology for math learning in middle school".
- Remove misleading or overly broad synonyms.
9.3 Too Few Queries After Dedupe
Possible causes:
- Many candidate queries ended up being near-duplicates.
- The system had a narrow space to explore.
What to try:
- Add more varied "I Want to Know About" items that cover different aspects.
- Loosen constraints: broaden the topic or include additional related fields.
10. Quick Checklist (Before You Click Generate)
1. Topic
- 4β6 words
- Describes a specific goal or context
- Not just a single broad term
2. Also Known As (optional, recommended)
- Includes 3β8 realistic alternate phrases you might actually search
- No obvious off-topic items
3. I Want to Know About (optional, recommended)
- Covers multiple angles (e.g., costs, methods, risks, examples)
- Items are concrete questions or aspects, not vague labels
4. Related Fields (optional)
- Adds 3β6 relevant disciplines or expert areas
If you can check most of these boxes, Thothful will usually produce a useful, diverse set of queries that make your web research more thorough and efficient.
11. Summary
- The tool enhances your use of traditional search engines by generating many focused queries from one topic.
- Your topic and context fields act as steering controls for the AI.
- Investing a minute to refine your inputs pays off in better, more relevant search results.
- You can use it for quick everyday questions and for structured research sessions.
Use Thothful whenever you're asking yourself: "What are all the smart ways I could search for this?"