AI Prompt Toolkit

Prepare prompts safely with preset-led examples, privacy-first sharing, redaction counts, and chunking before you move into an external AI workflow.

Prompt Workbench

Prompt Draft

Repository handoff brief for the next engineering pass:
- Goal: upgrade the prompt workflow so safe presets load through deterministic GET state while private notes stay out of the URL.
- Constraints: keep the route fast, preserve current redaction behavior, keep chunking deterministic, and update regression coverage in page.tests.
- Deliverables: add preset hydration, normalize token-limit selections, surface a workflow summary, and keep the next-step links pointing at the AI CLI tool and the structured-output checker.
- Review the current template for places where the page is still POST-only and replace that dead-end with a safer share model for preset-led states.
- Keep the language precise: explain what gets shared, what stays private, and why a custom prompt is handled differently from a preset.
- Preserve the existing prompt metrics so the user still sees character count, word count, line count, and approximate token count after analysis.
- Add a summary that makes the next action obvious: copy the redacted output, continue with CLI command generation, or validate downstream JSON output.
- Add coverage for GET preset hydration, invalid token-limit normalization, privacy-safe POST behavior, and the no-raw-prompt share contract.
- Update translations for every supported locale so the new explanatory text does not fall back to English on production pages.
- Keep the implementation scoped to prompt-toolkit so the surrounding AI cluster routes stay unchanged during this slice.

Target Token Limit

Clear

Safe share URL

https://comutil.com/prompt-toolkit?preset=repo-task-handoff

Workflow Summary

Current source Repo task handoff

Share mode Safe preset share URL

Approximate Tokens 376

Redactions 1

Suggested chunks 2

Characters 1,502

Words 228

Lines 11

Status Review the redaction count, token estimate, and chunk count before moving into the next AI workflow step.

Example Presets

Incident summary

Preset

Review a secret-heavy outage recap before you paste it into an external AI assistant.

Recommended token limit: 512

Repo task handoff

Active

Chunk a longer repository brief into smaller prompt slices before moving into CLI execution.

Recommended token limit: 256

Cleanup notes

Preset

Turn mixed scratch notes into a cleaner final prompt without exposing private drafts by default.

Recommended token limit: 1024

Redaction Breakdown

Domains

1 redaction(s)

Redacted Output

Repository handoff brief for the next engineering pass:
- Goal: upgrade the prompt workflow so safe presets load through deterministic GET state while private notes stay out of the URL.
- Constraints: keep the route fast, preserve current redaction behavior, keep chunking deterministic, and update regression coverage in [REDACTED:DOMAIN].
- Deliverables: add preset hydration, normalize token-limit selections, surface a workflow summary, and keep the next-step links pointing at the AI CLI tool and the structured-output checker.
- Review the current template for places where the page is still POST-only and replace that dead-end with a safer share model for preset-led states.
- Keep the language precise: explain what gets shared, what stays private, and why a custom prompt is handled differently from a preset.
- Preserve the existing prompt metrics so the user still sees character count, word count, line count, and approximate token count after analysis.
- Add a summary that makes the next action obvious: copy the redacted output, continue with CLI command generation, or validate downstream JSON output.
- Add coverage for GET preset hydration, invalid token-limit normalization, privacy-safe POST behavior, and the no-raw-prompt share contract.
- Update translations for every supported locale so the new explanatory text does not fall back to English on production pages.
- Keep the implementation scoped to prompt-toolkit so the surrounding AI cluster routes stay unchanged during this slice.

Suggested Chunks

Each chunk stays within an approximate 256-token budget.

Chunk 1 Approx. 256 tokens

Repository handoff brief for the next engineering pass:
- Goal: upgrade the prompt workflow so safe presets load through deterministic GET state while private notes stay out of the URL.
- Constraints: keep the route fast, preserve current redaction behavior, keep chunking deterministic, and update regression coverage in [REDACTED:DOMAIN].
- Deliverables: add preset hydration, normalize token-limit selections, surface a workflow summary, and keep the next-step links pointing at the AI CLI tool and the structured-output checker.
- Review the current template for places where the page is still POST-only and replace that dead-end with a safer share model for preset-led states.
- Keep the language precise: explain what gets shared, what stays private, and why a custom prompt is handled differently from a preset.
- Preserve the existing prompt metrics so the user still sees character count, word count, line count, and approximate token count after analysis.
- Add a summary that makes the next action obvious: copy

Chunk 2 Approx. 122 tokens

the redacted output, continue with CLI command generation, or validate downstream JSON output.
- Add coverage for GET preset hydration, invalid token-limit normalization, privacy-safe POST behavior, and the no-raw-prompt share contract.
- Update translations for every supported locale so the new explanatory text does not fall back to English on production pages.
- Keep the implementation scoped to prompt-toolkit so the surrounding AI cluster routes stay unchanged during this slice.