Make every AI actually listen.
Paste any rough prompt. FixAIPrompt grades it across 5 metrics, rewrites it in the syntax ChatGPT, Claude, Gemini, or Grok handles best, and masks 30+ kinds of API keys and PII before you hit send. 58 templates. 16 technique guides. The model isn't the problem — your prompt is.
Fix my prompt
Smart Chunkerlive
Tip: pick a sample on the right, or paste a transcript / doc / complex task. Detection + chunking runs entirely in your browser.
▍Waiting for prompt…One product. Every privacy + prompt move covered.
Four tools. One mission.
Keep your data safe. Get better answers. Ship faster.
Mask secrets before they hit AI.
Detects API keys, JWTs, PII, credentials, and database secrets in logs, JSON, SQL, and code — and gives you a safe-to-paste version with an AI Leak Score.
Task-aware prompt rewriting.
A linter for prompts plus task-type detection (Code / Writing / Analysis / Decision / …) that adapts role, format, and example to each task. No API key needed.
Split big inputs. Decompose hard asks.
Two browser-only tools. Chunk long text into model-ready pieces for ChatGPT / Claude / Gemini, or decompose a complex prompt into a chain of focused sub-prompts.
Steal prompts that actually work.
A growing library of before/after prompt templates with explanations. Copy, customise, and lint before pasting into your favourite AI.
One prompt, rendered for the model that fits.
The Prompt Fixer detects your task, then renders the result in the syntax each model handles best — XML tags for Claude, markdown headings for ChatGPT, tight bullets for Gemini.
explain how vector databases work to a backend engineer who knows postgres
- • No role
- • No output format
- • No length constraint
- • No anti-hallucination safeguard
XML-tagged sections — Anthropic-style
<role>an experienced backend engineer who explains complex topics through Postgres analogies</role> <task> Explain how vector databases work to a backend engineer who knows Postgres. </task> <output_format> Open with one Postgres analogy that bridges the gap, then 3 short paragraphs (one new mechanism each), end with a follow-up question. </output_format> <constraints> - Length: under 250 words - Audience: engineering peer — assume comfort with relational DBs </constraints> <safeguard> If anything is unclear, ask before guessing. If you don't know something, say "I don't know" rather than making it up. </safeguard>
Tournament Pairwise Ranking
Don't ask 'which is best?'. Ask all N×(N−1)/2 pairwise comparisons. Far more reliable.
Six prompt-engineering patterns the pros actually use.
Each one is interactive — paste your scenario into the fields, get a fully-filled production prompt back. No API key.
Chain-of-Thought Forced Reasoning
Make the model show its work before answering — dramatic accuracy gain on multi-step problems.
Tree-of-Thoughts Decision Brancher
Explore 3 branches per decision, prune ruthlessly, beat one-shot answers.
Self-Refine — Generate → Critique → Revise (×3)
The single move that makes any output 2× better. Used in agentic systems.
Adversarial Red-Team Audit
Generate the strongest attack on your idea before launching. Find vulnerabilities before users do.
Pre-Mortem Failure Analysis
Imagine the project failed 6 months from now. Work backwards. (Used at Amazon.)
AI Personality Forensics
Paste 3 of your texts/posts/emails. Get a personality profile so accurate it's uncomfortable.
Your prompts deserve an honest editor.
Every prompt you type into the Fix My Prompt widget gets a dry, one-line review based on which lint rule fired. Here's the wall of shame.
“Short but detailed.” That's like asking for hot ice. Pick a side.
I've gotten more detail from a fortune cookie. What do you actually want?
“Can you please help me with…” — sure, with what exactly? Reading minds isn't on my résumé.
No role set, so I'll just guess. Want me to answer as a chef? A neuroscientist? A 19-year-old marketing intern? Pick one.
Stop yelling. I'm right here.
Four asks in one prompt. I'll do the first two well and skim the rest.
You asked for the “latest” and “everything” — buckle up for some confidently wrong answers.
Lots of “maybe” and “try to” in here. Bold of you to assume I have free will.
I read this three times. I'm not sure what you want me to do. Try a verb?
No format requested, so I'll produce 8 paragraphs. You'll hate them. We both know it.
The patterns the pros actually use.
Chain-of-Thought. Tree-of-Thoughts. Self-Refine. Multi-Persona Debate. Adversarial Red-Team. Pre-Mortem. Bias Audit. Personality Forensics. Algorithm Whisperer. Each one with the lazy prompt, the technique, and exactly why it works.
How FixAIPrompt protects you
One workflow. Three checks. No data leaves your browser.
Lint & rewrite the prompt
Multi-metric scoring (clarity / context / structure / specificity / risk) plus task-aware rewriting catches lazy phrasing, missing structure, and contradictions.
Scan the data
A regex + entropy detector spots 30+ types of secrets and PII before you paste. Highlighted, masked, copy-ready output.
Chunk what's too big
Long transcripts, contracts, and documents get split into model-ready chunks. Complex prompts get decomposed into focused chains.
The category nobody's building.
Generic prompt tools are everywhere. The real wedge is AI Data Loss Prevention: the layer that keeps developers, students, teachers, and whole companies from accidentally leaking real-world data into chat boxes. That's us.
- For developers — paste logs, stack traces, and API responses without exposing tokens.
- For founders — share customer data with AI for analysis without uploading PII.
- For teachers — paste student work without exposing names or emails.
- For everyone — every prompt is shorter, sharper, and safer.
FAQ
The questions we hear most.
›Is FixAIPrompt free?
Yes — the linter, detector, masker, chunker, decomposer, and templates are 100% free. Nothing is gated. We don't charge anyone.
›Where does my data go?
Nowhere. Detection, masking, linting, chunking, and decomposition all run as JavaScript in your browser. There is no server-side processing — we cannot see what you paste because we never receive it.
›What does the detector catch?
30+ patterns: AWS / OpenAI / Anthropic / GitHub / Stripe / Slack / Google / SendGrid keys, JWTs, bearer tokens, private key blocks, Mongo / Postgres / MySQL / Redis URIs, .env-style lines, emails, phone numbers, SSNs, Aadhaar, credit cards (Luhn-validated), IPv4/IPv6 — plus an entropy fallback for unknown secrets.
›What models does the chunker support?
9 presets: GPT-3.5 16k, GPT-4 8k, GPT-4 Turbo 128k, Claude Haiku 200k, Claude Sonnet 200k, Claude Opus 1M, Gemini 1.5 Pro 1M, Llama 3 8k, Mistral Large 32k, plus a custom mode. Chunk size is pre-filled to a sensible default per model and you can override it.
›Can my team get this?
Yes — we're building an enterprise version (browser extension + team rules + audit logs). If your team is interested, the same client-side detection moves into a Chrome extension that scans the clipboard before paste.
›What models does the Prompt Fixer optimize for?
Claude, ChatGPT/GPT-4, Gemini, and a model-agnostic Plain mode. The auto-fixer renders each prompt in the syntax that model handles best — XML for Claude, markdown for GPT, bulleted for Gemini, prose for everything else.