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Practical guides for AI prompts, GEO, image creation, SEO, and trading risk tools.

Practical guides for AI prompts, GEO, image creation, SEO, and trading risk tools.

Start with these guides. Each topic links to the relevant tool so the page is useful before a full article is expanded.

Start with these 12 guides

AI

Best free AI tools for prompt engineering

A practical guide for prompts, token budgets, structured outputs, and prompt security checks.

AI

How to estimate AI token cost before shipping

Use token counts, context planning, and manual per-million prices to avoid surprise API bills.

Developer

How to build a clean JSON prompt schema

Turn schema requirements into model instructions that are easier to validate downstream.

Image

How to compress images without uploading

A browser-first image guide for compression, resizing, conversion, and target file sizes.

Image

How to create marketplace-ready wall art mockups

Use frame mockups, gallery layouts, and export presets for Etsy, Shopify, and social posts.

GEO

How to check if AI crawlers can access your site

Understand robots.txt, AI crawler user agents, and the limits of crawl permission checks.

GEO

What is llms.txt and when should a site use it?

A concise guide to AI-facing site summaries, key pages, policies, and publication location.

SEO

SEO metadata checklist for tool pages

Use snippets, Open Graph previews, schema, and answer blocks to make pages clearer.

SEO

How to use a UTM builder without messy links

Keep campaigns readable, consistent, and easy to compare before publishing.

Trading

How to calculate trading position size

Turn account size, risk percent, entry, and stop into shares, exposure, and max loss.

Trading

How much gain is needed after a drawdown?

Why a 50% loss needs a 100% gain to recover, and how to keep recovery realistic.

Trading

How to build a daily trading checklist

Use state, risk, market context, and invalidation questions before adding new exposure.

AI

Best free AI tools for prompt engineering

A practical guide for prompts, token budgets, structured outputs, and prompt security checks.

Who this is for: AI builders, marketers, and product teams preparing prompts for repeated use.

Practical notes

  • Start with the task, role, context, constraints, examples, and expected output format.
  • Count tokens before adding retrieved context so the prompt does not crowd out the answer.
  • Run a prompt-injection pass when copied notes or third-party pages enter the context.
AI

How to estimate AI token cost before shipping

Use token counts, context planning, and manual per-million prices to avoid surprise API bills.

Who this is for: Developers and founders testing AI prompt systems before they become expensive habits.

Practical notes

  • Separate input tokens, reserved output tokens, and expected runs per day.
  • Use the largest realistic prompt example, not the best-case happy path.
  • Keep a monthly estimate next to latency and quality notes before choosing a model.
Developer

How to build a clean JSON prompt schema

Turn schema requirements into model instructions that are easier to validate downstream.

Who this is for: Developers using structured model output in apps, reports, and automation.

Practical notes

  • Name required fields plainly and define the accepted type for each field.
  • Tell the model what to do when data is missing instead of letting it invent values.
  • Validate output after generation; the prompt schema reduces errors but does not replace checks.
Image

How to compress images without uploading

A browser-first image guide for compression, resizing, conversion, and target file sizes.

Who this is for: Creators, operators, and store owners preparing images for faster pages.

Practical notes

  • Resize dimensions before chasing quality settings; oversized pixels are the common waste.
  • Use WebP for web delivery when the destination supports it.
  • Check the final image visually, because the smallest file is not always the best asset.
Image

How to create marketplace-ready wall art mockups

Use frame mockups, gallery layouts, and export presets for Etsy, Shopify, and social posts.

Who this is for: Artists and sellers turning artwork into listing visuals.

Practical notes

  • Create one clean framed image before building room scenes or gallery-wall variants.
  • Keep marketplace ratios in mind before adding text overlays or background details.
  • Use the full Frame Studio when the job needs room scenes, batches, or listing packs.
GEO

How to check if AI crawlers can access your site

Understand robots.txt, AI crawler user agents, and the limits of crawl permission checks.

Who this is for: SEO and GEO teams preparing pages for AI search visibility.

Practical notes

  • Check specific AI user agents instead of assuming one robots rule covers every crawler.
  • Crawler access is only permission; useful content and entity clarity still matter.
  • Keep a sitemap reference visible in robots.txt so important pages are discoverable.
GEO

What is llms.txt and when should a site use it?

A concise guide to AI-facing site summaries, key pages, policies, and publication location.

Who this is for: Site owners who want AI assistants to understand what their site provides.

Practical notes

  • Use llms.txt to summarize the site, important pages, policies, and canonical URLs.
  • Keep it concise; it should guide AI systems, not duplicate the whole website.
  • Review it alongside robots.txt, schema, and visible answer blocks.
SEO

SEO metadata checklist for tool pages

Use snippets, Open Graph previews, schema, and answer blocks to make pages clearer.

Who this is for: Marketers and builders publishing utility pages that need clear search intent.

Practical notes

  • Write the visible page for humans first, then align title, description, and Open Graph copy.
  • Add schema that reflects visible content; do not mark up content users cannot see.
  • Use examples, limitations, FAQ, and next-step tools to make the page genuinely useful.
Trading

How to calculate trading position size

Turn account size, risk percent, entry, and stop into shares, exposure, and max loss.

Who this is for: Traders who want risk defined before the setup becomes emotional.

Practical notes

  • Start with max loss, not with how much you want to make.
  • A valid stop must be far enough from entry to reflect the actual setup.
  • Review exposure separately from dollar risk because gap risk can still be too large.
Trading

How much gain is needed after a drawdown?

Why a 50% loss needs a 100% gain to recover, and how to keep recovery realistic.

Who this is for: Traders and investors who need a sober recovery plan after losses.

Practical notes

  • Drawdown math is asymmetric; the recovery gain is calculated from a smaller base.
  • Large drawdowns are not just psychological events; they change the required return profile.
  • Use the result to reduce risk before the next trade, not to justify revenge sizing.
Trading

How to build a daily trading checklist

Use state, risk, market context, and invalidation questions before adding new exposure.

Who this is for: Active traders building a repeatable pre-trade discipline loop.

Practical notes

  • Check sleep, recent losses, revenge-trade pressure, and plan violations before the ticker.
  • Separate market state from personal state; both can reduce position size.
  • End with a decision mode: attack, probe, defend, or wait.