This prompt has a strong structure. Ship it to any model.
All checks passed. Zero structural, privacy, or security issues detected.
Developers and AI teams need to catch prompt defects, red-team injection vectors, and optimize token costs before shipping to users. AIQualityHQ provides deterministic quality linting, adversarial security scanners, and subword token intelligence today — with multi-model testing workflows as the platform evolves.
Built for AI developers, prompt engineers, and AppSec teams — validating output contracts, enforcing role boundaries, red-teaming adversarial inputs, and eliminating token bloat.
Need to measure token bloat or model headroom?Analyze AI token usage 38 Rules
Deterministic prompt linter
15 Detectors
OWASP LLM-01 security checks
30+ Models
Context & token intelligence registry
Browser-Native
Local-first, reproducible & fast
Ranked by product-hunting communities for speed, privacy & depth.
AIQualityHQ is independently listed across LaunchTry, Shipstry, Launch List, Verified Tools, IndieHunt, Toolfio and EarlyHunt — no artificially inflated ratings or reviews.
AI Quality Engineering Tools for Every Stage of the Prompt Lifecycle #
From initial prompt design to adversarial defense, token optimization, and automated refactoring — purpose-built browser tools that help teams **Check → Secure → Fix → Optimize → Audit**.
### [Prompt Linter & Contract Checker](https://aiqualityhq.com/checker)
Evaluate prompt structure, constraints, clarity, and output schemas against 38 deterministic rules running locally in your browser.
[Open Linter](https://aiqualityhq.com/checker)
### [Prompt Injection Security Scanner](https://aiqualityhq.com/prompt-injection-scanner)
Red-team prompts and RAG contexts against 15 deterministic detector modules covering direct hijacking, exfiltration, and context poisoning.
[Open Scanner](https://aiqualityhq.com/prompt-injection-scanner)
### [Prompt Rewriter & Target Compiler](https://aiqualityhq.com/prompt-rewriter)
Automated prompt refactoring for detected defects. Resolves constraint conflicts, adds delimiters, and provides side-by-side Git visual diffs.
[Open Rewriter](https://aiqualityhq.com/prompt-rewriter)
### [AI Token Analyzer](https://aiqualityhq.com/ai-token-analyzer)
Decompose prompts into architectural layers (System, User, Context, Tools) with exact subword BPE precision and multi-model cost tables.
The AIQualityHQ Suite by Product Domain #
Eleven browser-native applications organized across five core domains. Deterministic tools run locally in your browser with zero network calls; AI-assisted features are clearly labeled.
Prompt Quality & Linting
Static analysis for prompt templates, system instructions, and RAG conditioning. Catches conflicting constraints, role ambiguity, missing output delimiters, and formatting issues before code execution. Prompt Linter & Contract Checker →38 deterministic rules evaluating structure, negative constraints, and output schemas
Prompt Security & Guardrails
Pre-deployment red-teaming and exploit detection. Evaluates inputs against direct prompt overrides, RAG context poisoning, behavioral jailbreaks, and system prompt exfiltration vectors.
Token & Cost Intelligence
Comprehensive token counting, subword fragmentation, cost estimation, and context capacity engineering. Built with exact BPE tokenizer logic and calibrated cross-provider models running directly in your browser with zero cloud storage.
Prompt Engineering & Synthesis
Active instruction authoring and automated defect fixing. Synthesize production-ready system prompts with role parameters or compile defective drafts into optimized model-specific prompts.
AI Visibility & LLM Auditing
Diagnose domain discoverability and brand grounding across frontier AI engines. Validate your llms.txt file and evaluate generative engine optimization (GEO) metrics.
Eliminate Token Bloat & Optimize Model Context Windows #
Every uncompressed prompt burns context headroom and drives unnecessary API expenditure. Follow the complete token engineering cycle: Measure → Detect Waste → Compare Tokenizers → Verify Headroom → Optimize.
Calculate Your Token & API Cost Savings
See how much static prompt pre-filtering & token optimization saves your team vs cloud evals.
Estimates assume an average 18% token-bloat reduction from optimization and failed-injection filtering, and a 350ms cloud evaluation latency. Actual results vary by prompt and provider.
Deconstruct BPE Tokens
Break down prompts into system, context, user, and schema layers with subword precision.
[Open Token Analyzer →](https://aiqualityhq.com/ai-token-analyzer)
### [Detect Conversational Fluff](https://aiqualityhq.com/ai-token-waste-analyzer)
Automatically identify polite filler and redundant formatting that waste token bandwidth.
[Open Waste Analyzer →](https://aiqualityhq.com/ai-token-waste-analyzer)
### [Context Window Headroom](https://aiqualityhq.com/ai-context-window-calculator)
Monitor utilization gauges and avoid "Lost in the Middle" attention degradation risks.
[Open Calculator →](https://aiqualityhq.com/ai-context-window-calculator)
### [Cross-Model Tokenizer BPE](https://aiqualityhq.com/ai-tokenizer-comparison)
Compare token efficiency and subword chunking across OpenAI, Anthropic, Google & Meta.
Red-Team Prompts Against Injections & Adversarial Jailbreaks #
Adversarial inputs compromise AI behavior in two distinct ways: single-turn instruction hijacking (prompt injections) and persona modulation (jailbreaks). AIQualityHQ provides dedicated scanners for both threat vectors:
- Prompt Injection Vectors: Malicious user input or tainted RAG documents overriding system constraints or extracting sensitive system instructions.
- Behavioral Jailbreaks: DAN personas, hypothetical scenarios, and multi-turn roleplay tactics designed to bypass safety filters.
Prompt Injection Scanner
Evaluates prompts against 15 deterministic detection modules. Scans for direct override syntax, typoglycemia, and exfiltration probes.
AI Jailbreak Detector
Tests guardrail resilience against adversarial persona modulation, developer mode exploits, and simulated framing attacks.
Deterministic. Reproducible. Private. By Design. #
Most prompt evaluation tools are just another LLM call — spending tokens to grade tokens with non-reproducible outputs. AIQualityHQ provides a deterministic static analysis and BPE token engine running directly in your browser.
| Capability | AIQualityHQ Local Engine | Asking an LLM to Grade | Generic Cloud Tools |
|---|---|---|---|
| Deterministic & reproducible scores | ✓ | ✗ varies run to run | ✗ LLM-backed |
| Local browser execution (prompt text remains on device) | ✓ | ✗ sent to provider | ✗ cloud processing |
| Instant evaluation (< 10ms, zero rate limits) | ✓ | ✗ seconds + queues | ✗ network latency |
| Free browser tools without required API keys | ✓ | ✗ API token cost | ✗ subscriptions |
| Exact subword BPE token & context analytics | ✓ | ✗ rough estimate | ± basic counter |
| Prompt injection & jailbreak security red-teaming | ✓ | ✗ | — rarely included |
Local analysis tools (Prompt Linter, Token Analyzer, Context Calculator, Injection Scanner) execute fully locally. AI-assisted features (Prompt Rewriter, AI Audit) connect to external providers and are clearly demarcated.
Six Core Dimensions of Prompt Quality #
Every prompt evaluated in AIQualityHQ is graded against six deterministic dimensions to isolate vulnerabilities and ensure output precision.
1. Prompt Structure
Validates role assignments, task demarcation, formatting delimiters, explicit output specifications, and structural clarity.
2. Memory & State
Evaluates how effectively conversational history and variable context are referenced without over token windows.
3. Context Grounding
Measures document retrieval parameters, citation requirements, and grounding constraints to prevent out-of-bounds answers.
4. Trust & Accuracy
Flags ambiguous instructions, unverified assumptions, and factual grounding gaps that contribute to hallucinated LLM responses.
5. PII & Privacy
Detects exposed email addresses, API tokens, phone numbers, and raw user variables requiring sanitization.
6. Security & Safety
Scans for prompt injection attacks, DAN jailbreak overrides, missing system instruction locks, and output boundary violations.
Read Security Mitigation Guide →
CHECK → SECURE → FIX → OPTIMIZE → TEST #
Deterministic prompt quality checks, adversarial security red-teaming, and token intelligence engineered for pre-production CI/CD pipelines.
Prompt Linting
Validate constraints and schema contracts against 38 deterministic rules.
Security Scan
Red-team prompt text and RAG context against 15 injection and jailbreak vectors.
Refactor Prompt
Remediate linter violations and compile model-specific candidate instructions.
Token Efficiency
Eliminate conversational bloat and benchmark cross-model tokenizer costs.
Automate & Eval
Export Promptfoo CLI configurations for automated multi-model regression runs.
[View Docs →](https://aiqualityhq.com/docs)
Engineering Guides & AI Quality Research #
In-depth technical architecture blueprints, testing methodologies, and governance frameworks from the AIQualityHQ engineering team.
[Explore all 26 AI engineering guides](https://aiqualityhq.com/articles)
### [Modern AI Software Testing Framework](https://aiqualityhq.com/artificial-intelligence-testing)
The authoritative 3,100-word cornerstone guide exploring the two dimensions of modern AI QA and the four pillars of AI-driven test automation.
[Read Full Guide](https://aiqualityhq.com/artificial-intelligence-testing)
### [Autonomous AI Agent Governance](https://aiqualityhq.com/defense-in-depth-autonomous-ai-agents-governance)
Defense-in-depth security architectures, human-in-the-loop gates, and deterministic execution boundaries for enterprise autonomous agents.
[Read Governance Blueprint](https://aiqualityhq.com/defense-in-depth-autonomous-ai-agents-governance)
### [Generative Engine Optimization (GEO)](https://aiqualityhq.com/generative-engine-optimization-ai-visibility)
How to configure llms.txt, structure entity documentation, and maximize brand citations in ChatGPT, Perplexity, and Claude.
[Read Visibility Guide](https://aiqualityhq.com/generative-engine-optimization-ai-visibility)
### [Wysera — AI Assistant for Client Follow-Up](https://wysera.ai/)
One AI assistant that posts to your social, answers your leads, and follows up with clients. You approve before anything ships. Built for solo med spas, CPAs, and insurance agents.
Frequently Asked Questions #
Common questions about AIQualityHQ. Visit our full FAQ page for detailed technical guides.
What tools are included in the AIQualityHQ suite? #
Is my prompt data private and secure? #
How is AIQualityHQ different from asking an LLM to review my prompt? #
Can AIQualityHQ protect against prompt injection and jailbreaks? #
How does the Token Intelligence suite help reduce API costs? #
Ready to harden your AI prompts? #
Catch prompt quality problems, red-team injection vectors, and eliminate token bloat with deterministic QA and security guardrails. Browser-native tools run locally in your browser — no mandatory signup or API key required. AI-powered tools are clearly labeled.