AiGanak
Scope a project
Security · Prompt Lab & guardrails

Prompts that hold up against real users and real data.

Deterministic firewalling for LLM integrations. We structure prompts, isolate untrusted content, enforce output formats and test every change, using our Prompt Lab diagnostics.

In short

AiGanak hardens LLM integrations against prompt injection, format failures and token waste using XML-structured prompts, negative constraints, input isolation and CI validation, backed by Prompt Lab diagnostics.

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When to call us

Problems this solves

Prompt injection

Customer text or retrieved documents can override your instructions and leak internal data.

Unreliable formats

Answers break JSON parsers or drift in tone and length, causing retries and support tickets.

Token bloat

Long prompts full of repeated rules and examples are paid for on every call.

What you get

Deliverables

XML schema validationNegative boundariesInjection isolationStructured outputsCI tests
  • Prompt Lab diagnostic of your top prompts
  • Rewritten prompts with XML structure and negative constraints
  • Input isolation for user and retrieved content
  • Output validation and structured output mode
  • Injection and format test suite that runs in CI
  • Before and after report on reliability and token use
How it runs

Engagement steps

Diagnose

Prompt Lab scores each prompt for structure, boundaries and injection risk.

Rewrite

We restructure prompts and add isolation and validation layers.

Test

Golden examples and attack cases run on every prompt change.

Related

Often paired with

Prompt Lab

Prompt Lab audits a failing system prompt. You submit the prompt, the failed input and output, formatting rules and a target answer; it checks XML structure, negative boundaries and injection risks and emails a diagnostic report.

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LLM Cost & Reliability Audit

The LLM Cost & Reliability Audit measures your OpenAI, Anthropic, Azure, Bedrock or Gemini usage from your own logs, prices every saving (model routing, caching, prompt trimming, retrieval, batch) against your approved answers, and ranks reliability risks. A free Quick Check gives an instant estimate.

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Multi-agent workflow automation (n8n and Make)

AiGanak builds n8n and Make multi-agent workflows that connect databases, CRMs, ERPs and messaging to language models with stateful routing, guardrails and cost tracking.

Learn more →
FAQ

Questions people ask

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What is prompt injection?

Prompt injection is when text supplied by a user or a retrieved document contains instructions that override the system prompt, for example making a support bot reveal internal notes. Guardrails separate untrusted content from instructions and check outputs before they are shown.

How do you test guardrails?

Prompt Lab runs injection, format and boundary tests on each prompt, and the same tests run in CI on every prompt change.

Tell us what you're building.

AiGanak Agent drafts a scoped proposal in a few minutes. An engineer reviews it with you.

Scope a project →Free cost check