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Insights, product notes, and implementation guides for teams building on AI APIs.

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Oct 26, 2026Marcus

Internal console notes

Internal notes

Oct 26, 2026Marcus Reid
AI Security Audit: A Practical Test Plan, Evidence Checklist, and Report Template for LLM Apps
Enterprise Controls and Trust

AI Security Audit: A Practical Test Plan, Evidence Checklist, and Report Template for LLM Apps

An AI security audit tests what your LLM application actually does, not what a vendor claims. This guide gives a scope template, 12 OWASP-mapped tests with input, expected control, evidence and remediation, a safe test harness, severity rules, and a report template.

Oct 26, 2026Flatkey Team
Grok vs Gemini (October 2026): Which AI Should You Use?
Model and Modality Playbooks

Grok vs Gemini (October 2026): Which AI Should You Use?

Gemini wins on value, Google integration, research, and video; Grok wins on real-time X content and bundles with X Premium. Compare October 2026 plans, tasks, and API prices, then test both with code.

Oct 25, 2026Flatkey Team
Open AI API Key Free? Limits, Costs, and Production Tradeoffs
Cost, Billing, and Ops

Open AI API Key Free? Limits, Costs, and Production Tradeoffs

An OpenAI API key is a credential—not a guaranteed free production budget. Learn what to verify about eligibility, credits, limits, costs, and spend controls before launch.

Oct 24, 2026Flatkey Team
AI Video Generator API: Access, Pricing, Integration, and Production Guide
Model and Modality Playbooks

AI Video Generator API: Access, Pricing, Integration, and Production Guide

A practical guide to choosing, pricing, integrating, and operating an AI video generation API with asynchronous jobs and measurable cost controls.

Oct 24, 2026Flatkey Team
CLI Proxy API: Access, Pricing, Integration, and Production Guide
Reliability and Routing

CLI Proxy API: Access, Pricing, Integration, and Production Guide

Learn what a CLI proxy API does, how CLIProxyAPI access and costs work, how to test it safely, and when a managed gateway fits production.

Oct 24, 2026Flatkey Team
What Is LLM Routing? Rules, Weights, and Cost-Aware Policies Explained
Reliability and Routing

What Is LLM Routing? Rules, Weights, and Cost-Aware Policies Explained

What is LLM routing? Learn how rules, weighted scores, capability filters, fallbacks, and evaluation make multi-model APIs more reliable.

Oct 24, 2026Cxj
vLLM Docker: Architecture, Performance, and Cloud Deployment Guide
Cost, Billing, and Ops

vLLM Docker: Architecture, Performance, and Cloud Deployment Guide

vLLM Docker deployment guide for cloud GPUs: architecture, OpenAI-compatible setup, performance tuning, multi-GPU scaling, and production checks.

Oct 24, 2026Cxj
Can You Run Kimi K3 Locally? Hardware, GGUF, and vLLM Guide (2026)
Cost, Billing, and Ops

Can You Run Kimi K3 Locally? Hardware, GGUF, and vLLM Guide (2026)

Kimi K3 can run locally, but the smallest 1-bit GGUF needs about 610 GB of RAM plus VRAM. Get exact hardware requirements, llama.cpp and vLLM commands, license terms, and a cost comparison with rented GPUs and APIs.

Oct 24, 2026Flatkey Team
How to Get an OpenAI API Key and Fix a 401 “Invalid API Key” Error
Base URL and SDK Migration

How to Get an OpenAI API Key and Fix a 401 “Invalid API Key” Error

Diagnose OpenAI 401 invalid API key errors safely, including wrong endpoints, stale secrets, revoked keys, project controls, and IP allowlisting.

Oct 24, 2026Cxj
Perplexity AI API: Access, Pricing, Integration, and Production Guide
Model and Modality Playbooks

Perplexity AI API: Access, Pricing, Integration, and Production Guide

A source-backed guide to choosing the right Perplexity API surface, integrating it correctly, estimating cost, and operating it safely in production.

Oct 24, 2026Cxj
AI Inference Meaning: Architecture, Performance, and Cloud Deployment Guide
Cost, Billing, and Ops

AI Inference Meaning: Architecture, Performance, and Cloud Deployment Guide

AI inference meaning: how a trained model turns new input into a production response, with the metrics and cloud GPU deployment steps that matter.

Oct 23, 2026Flatkey
AI Inference vs Training: Performance, Cost, and Deployment Tradeoffs
Cost, Billing, and Ops

AI Inference vs Training: Performance, Cost, and Deployment Tradeoffs

AI inference vs training explained: compare performance metrics, cost drivers, deployment requirements, and when to fine-tune or serve a model.

Oct 23, 2026Flatkey
Nvidia H200 GPU: Architecture, Performance, and Cloud Deployment Guide
Cost, Billing, and Ops

Nvidia H200 GPU: Architecture, Performance, and Cloud Deployment Guide

A practical guide to sizing, deploying, validating, and operating Nvidia H200 GPU capacity for AI and HPC workloads in the cloud.

Oct 23, 2026Cxj
Cheapest LLM APIs in 2026: Compare Prices by Workload, Not Hype
Cost, Billing, and Ops

Cheapest LLM APIs in 2026: Compare Prices by Workload, Not Hype

A source-checked guide to comparing low-cost LLM APIs by workload, including input, output, cache, batch, tool, retry, and repair costs.

Oct 23, 2026Cxj
H100 GPU Price: Pricing, Cost Drivers, and Buying Guide
Cost, Billing, and Ops

H100 GPU Price: Pricing, Cost Drivers, and Buying Guide

H100 GPU price guide for comparing a $32,200 PCIe listing, cloud rental snapshots, form factors, and the TCO behind an on-prem quote.

Oct 23, 2026Flatkey Team
Sovereign AI Infrastructure: Models, Data Residency, and Compute Control (2026 Guide)
Cost, Billing, and Ops

Sovereign AI Infrastructure: Models, Data Residency, and Compute Control (2026 Guide)

A practical guide to sovereign AI infrastructure in 2026: the four layers (compute, data, models, operations), regulations driving it, five sovereignty levels, an open-model serving setup, and a 70B in-country GPU cost example.

Oct 23, 2026Flatkey Team

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