Pragmatic AI Solutions & Integrations
Cut through the AI hype. We integrate frontier model APIs (Gemini, OpenAI, Anthropic) into your existing web platforms with strict prompt boundaries, token caching, and deterministic fallbacks.
Overblown AI Promises vs. Fragile Deployments
The market is saturated with vendors promising that AI will completely replace your business operations overnight. In practice, unvetted chatbots hallucinate inaccurate data, expose API keys to the browser, run up unpredictable token bills, and crash when API rate limits hit.
Unpredictable Hallucinations
Uncontrolled generative prompts invent false pricing, inaccurate policies, or unsupported features when interacting directly with customers.
Exposed Keys & Cost Runaway
Calling AI APIs directly from client-side scripts exposes secret keys to the public and risks runaway bills without token quotas.
Zero Failure Handling
When upstream AI providers experience temporary downtime or rate limits, unprepared websites show broken UI spinners or raw error dumps.
Architected for Accuracy, Safety & Cost Control
We treat LLMs as powerful probabilistic components within an engineered system. Every model call is insulated by server-side proxies, prompt guardrails, schema validation, and deterministic fallbacks.
Secure Token & Key Routing
All API interactions run through authenticated backend edge workers. Secret keys remain strictly confidential, and user requests are rate-limited.
JSON Schema Validation
We enforce strict JSON output schemas. If an AI response fails validation, the system automatically handles the format or falls back cleanly.
Domain Grounding & Caching
Ground models strictly in your company documentation. Responses are cached to reduce latency and eliminate redundant API expenses.
Included Deliverables vs. Exclusions
We maintain transparent expectations around what AI can reliably achieve in production.
Included in Scope
- ✓ Integration with OpenAI, Google Gemini, or Anthropic Claude APIs
- ✓ Serverless API proxy with rate-limiting, IP throttling & response caching
- ✓ System prompt engineering with domain grounding and safety constraints
- ✓ Structured JSON Schema validation and output sanitation
- ✓ Deterministic fallback mechanisms during upstream provider outages
Explicitly Out of Scope
- ✕ Unsupervised systems giving binding legal, medical, or financial advice
- ✕ Ground-up foundation model pre-training from scratch
- ✕ Guaranteed 100% elimination of hallucinations (we minimize risk with ground-truth prompts, but LLMs are probabilistic)
- ✕ Third-party API token usage fees (invoiced directly to client by API providers)
Process & Communication
We test and calibrate prompt behavior on sample real-world payloads before any live release.
Use-Case Validation
Confirm whether an LLM is truly the optimal tool for the problem or if a deterministic script is superior.
Prompt Architecture
Engineer system prompts, specify JSON output schemas, and establish fallback boundaries.
Sandbox Testing
Run adversarial test cases to ensure the model cannot be easily jailbroken or instructed out of context.
Proxy Deployment
Deploy secure edge proxies, configure quota limits, and integrate the feature into your live site.
Real-World Deployments
Concrete implementations running live on our platform:
- Ninomax AI Visibility CheckupInteractive audit tool assessing modern search discoverability and brand visibility across AI engines with instant scoring and recommendations.
- Creative Production Assistance ToolsCustom script utilities assisting metadata generation, episode concept outlines, and technical documentation for creative studio releases.
Technology & Security
Enterprise-grade safety guidelines and data privacy:
Tech Stack
OpenAI API (GPT-4o), Google Gemini API (Flash/Pro), Anthropic Claude API, Cloudflare Workers backend routing, and JSON Schema validators.
Data Privacy & Handling
Commercial API data handling per provider terms (e.g. OpenAI, Google Cloud, and Anthropic commercial agreements, where business API inputs are not used for foundation model training). We also enforce server-side scrubbing of Personally Identifiable Information (PII) before transmission.
Integrate AI Where It Truly Adds Value
Discuss your application requirements, target users, and safety boundaries with an experienced developer.