100 browser-only LLM planning tools

August 31, 2026

Toolcore added 100 client-side helpers for LLM context planning—token rough counts, chunk math, cost arithmetic, text cleanup, chat exports, and payload sizing. They live under AI tools in the Client-side — LLM workflow section. None call a generative API.

Token & text stats

Start with token estimate for a whole paste, then drill into line/paragraph/sentence stats, code-fence vs prose splits, CJK weight, emoji heuristics, and density scores—examples: line token stats, code block tokens, CJK token weight.

RAG & chunk planning

Pair RAG chunk calculator with overlap waste, sliding-window steps, chunk-by-paragraph/sentence/line tools, embedding byte estimates, and retrieval headroom pages such as RAG context headroom.

Cost & budget math

Use API cost calculator for the main workflow, then per-1K cost, monthly budget, cache savings, batch request estimates, and scale projections like cost at scale projection.

Text prep & chat formats

Strip HTML/Markdown, collapse blank lines, dedupe paragraphs, normalize smart quotes, number lines, or split chat exports by role—see strip HTML for prompt, chat export normalize, role turn counter.

Payload & JSON size

Measure UTF-8 bytes, JSON snippet tokens, OpenAPI schema weight, Base64 payload estimates, and tool-call overhead before you send a request—try JSON snippet tokens and OpenAPI schema token count.

All counts are rough planning hints—not provider tokenizers. Redact secrets with paste redact before sharing exports.

Common use cases

  • Pick the right local helper before pasting context into another system.
  • Browse the AI hub Client-side section when token or chunk math is enough.

Common mistakes to avoid

  • Treating rough token counts as billing truth

    Use these pages for planning; provider tokenizers differ.

FAQ

Do these 100 tools call a model?

No. They run in your browser with heuristics and arithmetic.

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