Articles
What Is the Best Claude Model in 2026? Comparison & Pricing
The best Claude model depends on the task. Compare Fable 5.1, Opus 5, Sonnet 5, and Haiku 4.5 on pricing and specs, plus picks for coding, writing, and research.
Dylan Cable · 1 day ago · 17 min
10 Best Jaeger Alternatives for Distributed Tracing (2026)
Jaeger alternatives all accept the OTLP stream you already send, so what separates them is what each does with a span. Compare 10 on search, scope, and cost.
Dylan Cable · 4 days ago · 25 min
What Is Distributed Tracing? 5 Best Tools for LLMs (2026)
Distributed tracing follows a request across every service it touches. Learn how it works and compare 5 tools on what each captures from LLM calls.
Dylan Cable · 6 days ago · 17 min
What Are AI Guardrails? LLM Examples & News in 2026
AI guardrails are the controls that keep LLM apps and agents within policy in production. See examples, how to implement and test them, and 2026 news.
Dylan Cable · 7 days ago · 20 minFew-Shot Prompting vs Zero-Shot: Which to Use in 2026
Few-shot prompting puts worked examples in the prompt so the model follows their pattern. See examples, how it compares to zero-shot, and when each one wins.
Dylan Cable · 7 days ago · 16 minHow to Build an AI Agent in 2026: A Production Guide
Learn how to build an AI agent in eleven steps, from scoping the task to instrumenting the agent loop. Then trace, evaluate, and monitor it in production.
Dylan Cable · September 14, 2026 · 30 minWhat Is LLM-as-a-Judge? Method, Examples, and Best Practices
LLM-as-a-judge uses one model to score another's output against a rubric you write. See how the method works, with examples and best practices for production.
Dylan Cable · September 14, 2026 · 22 minDSPy Prompt Optimization: How It Works + Examples
DSPy prompt optimization tunes your prompts against a metric you define. Learn how it works with code examples, and how to test the results in production.
Dylan Cable · September 11, 2026 · 14 minAI Security for LLM Apps and Agents: Risks and Defenses
AI security stops prompt injection and tool misuse from turning LLM apps and agents against you. See the risks, defenses, testing methods, and top tools.
Dylan Cable · September 10, 2026 · 21 min12 Best AI Observability Tools & Platforms (2026)
AI observability tools vary widely in what they capture and what they cost. Compare 12 platforms on tracing depth, evals on live traffic, and real pricing.
Dylan Cable · September 9, 2026 · 22 min9 Best LLM Observability Tools in 2026
LLM observability tools differ most in what they can see inside an agent run. Compare 9 platforms on tracing depth, instrumentation, and what each one costs.
Dylan Cable · September 9, 2026 · 20 minObservability vs Monitoring
Observability vs monitoring comes down to two jobs in LLM apps. Monitoring shows something broke, observability traces a failing agent to its cause.
Dylan Cable · September 9, 2026 · 11 minTop 8 Best OpenClaw Alternatives (2026)
OpenClaw alternatives differ most in how they handle credentials and memory. Compare 8 personal AI assistants on security, setup, and multi-surface access.
Dylan Cable · September 9, 2026 · 19 minWhat Is AI Observability?
AI observability means knowing what your LLMs and agents actually output, not just whether they respond. Learn the signals, a checklist, and agent best practices.
Dylan Cable · September 9, 2026 · 13 minLLM Evaluation in Production: Metrics, Methods, and Tools
LLM evaluation turns agent output into a score you can act on. Compare evaluation methods, the metrics worth tracking in production, and 10 tools that run them.
Dylan Cable · September 4, 2026 · 25 min8 Best Fiddler AI Alternatives in 2026
Fiddler AI alternatives differ most on tracing depth and how each one meters cost. Compare 8 LLM observability platforms on pricing, gateway coverage, and fit.
Dylan Cable · September 4, 2026 · 19 min10 Best LLM Gateways in 2026
The best LLM gateways put every model provider behind one endpoint. Compare 10 on model coverage, caching, compliance, and real pricing, with a clear pick for each use case.
Dylan Cable · September 3, 2026 · 20 min8 Best LLM Routers for Production Traffic (2026)
The best LLM router decides where each request goes, and the decision is only as good as what it can measure. Compare 8 on routing logic, failover, and pricing.
Dylan Cable · September 3, 2026 · 20 minTop 10 Braintrust Alternatives for Production Evals (2026)
Braintrust alternatives worth evaluating in 2026, compared on production evals, tracing depth, and pricing. See how 10 platforms score live traffic.
Dylan Cable · September 2, 2026 · 26 minClaude Opus vs Sonnet: Pricing & When to Use Each (2026)
Claude Opus vs Sonnet pricing compared: Opus 5 costs 2.5x Sonnet 5 on input and output. See when each tier is worth it, plus every current and legacy version pair.
Dylan Cable · September 2, 2026 · 20 minOWASP LLM Top 10 (2026): Official List and What Changed
The OWASP LLM Top 10 was updated in August 2026, with a renamed entry and a reordered list. See all ten risks, what changed from 2025, and how to test for each.
Dylan Cable · September 1, 2026 · 21 minTop 10 Prompt Versioning Tools for Production (2026)
Prompt versioning tools should do more than store history. Compare 10 platforms on version pinning, rollback, trace linking, evals, and what each costs.
Dylan Cable · August 31, 2026 · 23 minTop 8 AI Agent Monitoring Tools & Software (2026)
The 8 best AI agent monitoring tools compared on alerting, session-level metrics, tracing, and cost. See which platform catches a failed task before a customer does.
Dylan Cable · August 28, 2026 · 20 minWhat Is Time to First Token? Measuring TTFT in Production
Time to first token (TTFT) is the delay before an LLM starts responding. Learn what drives it, how to measure it in production, and how to bring it down.
Dylan Cable · August 28, 2026 · 17 min10 Best Free LangSmith Alternatives Compared (2026)
LangSmith alternatives differ most in what ends their free tier. Compare 10 free platforms on seat caps, trace limits, retention, and evaluation depth.
Dylan Cable · August 27, 2026 · 31 min12 Best Log Monitoring Tools & Software to Try (2026)
Log monitoring tools and software catch failures that announce themselves in a log line. Twelve platforms, and what each one sees once that stops being true.
Dylan Cable · August 27, 2026 · 32 minRAG Security Best Practices: 9 Controls for Production
RAG security best practices belong at the retrieval layer. Nine production controls covering ingestion, permissions, output, and how to prove each one holds.
Dylan Cable · August 26, 2026 · 24 minTop 8 LLMOps Tools & Software in 2026
LLMOps tools differ most in where they sit relative to the request path. Compare 8 software on pricing, latency overhead, tracing, and evaluation coverage.
Dylan Cable · August 25, 2026 · 24 min12 Splunk Alternatives & Competitors for Observability (2026)
Splunk alternatives range from managed observability platforms to self-hosted open source. See how 12 compare on pricing, query language, and AI coverage.
Dylan Cable · August 24, 2026 · 26 minLLM Orchestration Explained: 10 Tools & Frameworks in 2026
LLM orchestration coordinates models, tools, and agent steps inside a single request. Compare 10 LLM orchestration tools and frameworks on what each one runs.
Dylan Cable · August 21, 2026 · 21 min10 Best Langfuse Alternatives Compared & Ranked (2026)
Langfuse alternatives are worth a look now that ClickHouse owns it. Compare 10 platforms on pricing, self-hosting, tracing depth, and evaluation coverage.
Dylan Cable · August 20, 2026 · 23 min10 Best AI Red Teaming Tools to Test Agents in 2026
The best AI red teaming tools probe deployed agents, not just model endpoints. See 10 compared on attack coverage, evidence, CI integration, and pricing.
Dylan Cable · August 19, 2026 · 21 minWhat Is Red Teaming? A Guide for AI Agents and LLM Apps
Red teaming is an authorized adversarial exercise against your own systems. See what it tests in AI agents and LLM apps, and how to automate campaigns.
Dylan Cable · August 19, 2026 · 17 min16 Best Datadog Alternatives & Competitors Ranked (2026)
Datadog charges for hosts, logs, custom metrics, and APM on six separate meters. Compare 16 Datadog alternatives on what they bill for and what they can see.
Dylan Cable · August 17, 2026 · 29 min15 Best MLOps Tools & Platforms for Production ML (2026)
MLOps tools cover experiment tracking, deployment, and monitoring, but not every stage applies to every model. Compare 15 platforms on pricing and fit.
Dylan Cable · August 17, 2026 · 32 minTop 12 OpenRouter Alternatives for LLM Apps in 2026
OpenRouter alternatives range from open-source LLM gateways to hosted routers behind one API. See which 12 hold up in production and what each one costs.
Dylan Cable · August 17, 2026 · 23 min12 Best AI Evaluation Tools for Production in 2026
The best AI evaluation tools for production score live traffic, not just test sets. Compare 10 platforms on offline and online evals, tracing, and cost.
Dylan Cable · August 14, 2026 · 23 min10 Best Application Performance Monitoring Tools & Software (2026)
Application performance monitoring tools differ most on cost and on what they can't see. Compare 10 platforms on pricing, instrumentation, and AI coverage.
Dylan Cable · August 13, 2026 · 27 minHow to Build a Web-Scraping Agent That Stays Reliable in Production
Build a web-scraping agent that stays reliable in production. Crawl docs with Context.dev, then trace, evaluate, and monitor every answer with Respan.
Dylan Cable · August 12, 2026 · 22 min12 Best Dynatrace Alternatives for Observability in 2026
Dynatrace alternatives worth evaluating in 2026, compared on observability coverage, pricing, and AI visibility. See how 12 platforms stack up before you migrate.
Dylan Cable · August 7, 2026 · 23 min10 New Relic Alternatives for Full-Stack Observability (2026)
New Relic alternatives get evaluated when per-user seats and ingest fees stack up. Compare 10 platforms on pricing, deployment, and observability coverage.
Dylan Cable · August 7, 2026 · 23 min20 Best AIOps Tools for Modern Engineering Teams (2026)
AIOps tools use machine learning to cut alert noise and find root cause faster. Compare 20 platforms on features, pricing, and fit for AI-era engineering teams.
Dylan Cable · August 6, 2026 · 34 min12 Best Synthetic Monitoring Tools for LLM Apps (2026)
Synthetic monitoring for LLM apps means testing output quality, not just uptime. Compare 12 tools on checks, alerting, evals, and what each one costs.
Dylan Cable · August 4, 2026 · 27 minTop 10 Vercel AI Gateway Alternatives for LLM Apps (2026)
The top Vercel AI Gateway alternatives in 2026 are: Respan, OpenRouter, LiteLLM, Portkey, Cloudflare, Bifrost, Kong, TrueFoundry, Apigee, Helicone.
Dylan Cable · July 31, 2026 · 21 min5 Common AI Governance Frameworks & Best Practices for 2026
An AI governance framework defines the controls, records, and oversight AI systems need. See what the five major frameworks require and how to implement one.
Dylan Cable · July 30, 2026 · 20 min15 Best AI Governance Tools & Platforms in 2026
AI governance tools fall into three categories, and most teams need more than one. Compare 15 platforms on what they enforce, record, and detect.
Dylan Cable · July 30, 2026 · 27 minClaude Prompt Caching: Pricing, TTLs, and What's Worth Caching
Claude prompt caching prices the 5-min and 1-hour caches very differently. Here's the exact pricing math, the cache_control breakpoints, when each TTL pays off, and Python + TS examples with the cache-hit-rate numbers we see in production.
Frank Chen · July 29, 2026 · 9 minAnthropic API vs AWS Bedrock Claude (2026): Which to Use
Anthropic API vs AWS Bedrock Claude compared: model freshness, pricing, IAM/VPC, BAA, latency, and a multi-cloud failover pattern through an LLM gateway.
Frank Chen · July 29, 2026 · 9 minIntent Classification With LLMs
Intent classification with LLMs: BERT vs few-shot LLM vs structured outputs, code examples, eval setup (precision/recall by class), production routing patterns.
Frank Chen · July 29, 2026 · 11 minPrompt Caching: OpenAI, Anthropic, and the Gateway Layer
OpenAI + Anthropic prompt caching plus gateway exact-match: cuts input cost up to 95%, latency 80%. With code, cost math, and a live demo.
Frank Chen · July 29, 2026 · 16 minOpenAI API Credits: Trial Bonuses, Auto-Recharge, and the Discounts That Cut Your Bill 75%
OpenAI gives new accounts free trial credits, then it's pay-as-you-go. Here's how the credits work, the prepaid vs auto-recharge tradeoff, and the two discounts (prompt caching + batch API) that cut your bill by 75% on repeat workloads.
Frank Chen · July 29, 2026 · 11 minRAG Evaluation: A Production Engineering Guide
A practical RAG evaluation guide. The 6 metrics worth measuring in production, how to build a golden set from real traffic, LLM-as-judge in Python, and how to wire results into your observability stack. From the team running 80M+ requests a day.
Frank Chen · July 29, 2026 · 13 minRAG Observability: How to Instrument a Production RAG System
A practical guide to RAG observability. The 4 telemetry layers, what to attach to retrieval and generation spans, the 5 dashboard panels that catch real problems, and how to wire online evals into your traces.
Frank Chen · July 29, 2026 · 11 min15 Best AI Tools for DevOps in 2026
AI tools for DevOps span code assistance, CI/CD, testing, security, automation, and LLM monitoring. Compare 15 tools on pricing, limits, and best fit.
Dylan Cable · July 24, 2026 · 30 min10 DevOps Best Practices for AI Systems in 2026
DevOps best practices change when the artifact you ship is a model call. Ten practices covering versioning, eval gates, tracing, rollback, and AI security.
Dylan Cable · July 23, 2026 · 27 minCache Invalidation for LLM Apps: A Production Guide
Cache invalidation for LLM apps: 6 triggers (model, prompt, tools, RAG, system prompt, user state), TTL playbook, cache-key design, gateway patterns.
Frank Chen · May 29, 2026 · 15 minSemantic Cache for LLM Apps: A Production Engineering Guide
Semantic caching for LLM apps: when it pays off, when it returns wrong answers, the threshold tradeoff, and how to ship it safely. Code + gotchas.
Frank Chen · May 25, 2026 · 13 minAgent Tools: The Patterns That Actually Work in Production
Agent tool design best practices for production. Naming, granularity, error handling, structured results, latency budgets, and the trace patterns that catch tool failures fast.
Frank Chen · May 23, 2026 · 9 minLLM Gateway vs LiteLLM
LLM Gateway vs LiteLLM: when LiteLLM's OSS proxy is enough, when a full managed gateway is the right choice. Real tradeoffs on routing, observability, prompt management, and ops burden.
Frank Chen · May 23, 2026 · 9 minLLM Monitoring: A Production Engineering Guide
LLM monitoring guide for production. The 7 metrics that matter (latency, cost, hit rate, faithfulness, etc), 5 alerts worth setting up, and the dashboards we recommend.
Frank Chen · May 23, 2026 · 9 minOpenAI vs Anthropic Pricing
OpenAI vs Anthropic API pricing as of May 2026. GPT-5.5/5.4 vs Opus 4.7 / Sonnet 4.6 / Haiku 4.5. Real cost math on RAG, agents, classification, plus the tokenizer trap.
Frank Chen · May 23, 2026 · 11 minAI Agent Debugging Without Print Statements
A working engineer's guide to debugging AI agents. The trace-tree method, five bug shapes you will see in production (stuck loops, hallucinated args, lost context, wrong-path planning, silent degradation), and the span schema that makes debugging fast.
Frank Chen · May 22, 2026 · 12 minAgent Workflow Patterns That Actually Ship
A working engineer's guide to agent workflow design. Five patterns (router, parallelizer, evaluator-optimizer, orchestrator-workers, hierarchical handoff), the failure mode each one hides, the trace signal that surfaces it, and three patterns we tell teams to stop using.
Frank Chen · May 22, 2026 · 11 minLLM Cache Layers and How to Choose Between Them
A practical guide to LLM caching. The three cache layers (provider prompt cache, exact-match cache, semantic cache), when each one pays off, the hit-rate math, and the production gotchas to avoid before you wire one up.
Frank Chen · May 22, 2026 · 11 minMCP Server Tutorial: Hello-World to Production with Tracing
A practical MCP server tutorial in Python. Build the server, add tools and resources, handle auth and structured errors, deploy as a remote server, and wire OpenTelemetry tracing so you can debug agent loops in production.
Frank Chen · May 22, 2026 · 10 minPrompt Injection Detection: A Defense-in-Depth Guide
A practical guide to prompt injection detection. The 5 main attack patterns, the 3 detection layers (input filter, output filter, dual-LLM), false-positive rates we have measured in production, and the gotchas behind every defense.
Frank Chen · May 22, 2026 · 11 minHow to Handle Anthropic 429 / 529 Errors in Production
Anthropic's API throws 429 and 529 for very different reasons. Here's what each one means, the exact Build Tier limits, the backoff code that works, and the gateway pattern that keeps Claude calls flowing under load.
Frank Chen · May 11, 2026 · 10 minAnthropic Message Batches API: 50% Off Async Jobs (2026)
Anthropic Batches API guide: 50% discount on async jobs, up to 24-hour completion, Python and TypeScript examples, gotchas, and comparison to OpenAI Batch API.
Frank Chen · May 11, 2026 · 9 minAzure OpenAI Pricing Calculator and Cost Guide
Azure OpenAI pricing in 2026: pay-as-you-go vs PTU, regional deployment types, commitment discounts, cost calc formulas, and gateway-based failover.
Frank Chen · May 11, 2026 · 10 minHow to Reduce OpenAI API Costs in 2026
Cut OpenAI API costs in 2026 with prompt caching, batch API, model right-sizing, semantic caching at a gateway, output limits, and cost monitoring.
Frank Chen · May 11, 2026 · 10 minIs OpenAI Swarm Still Worth Using in 2026?
OpenAI Swarm in 2026: status, what replaced it (Agents SDK), when to migrate, and how it compares to LangGraph, CrewAI, and Claude Agent SDK.
Frank Chen · May 11, 2026 · 9 minLeast-to-Most Prompting Explained
Least-to-most prompting explained: origin in Zhou et al. 2022, how it differs from CoT and ToT, worked examples, and when to use it with 2026 reasoning models.
Frank Chen · May 11, 2026 · 10 minOpenAI Agents SDK vs Swarm: Migration Guide
OpenAI Agents SDK vs Swarm in 2026: architectural differences, handoffs, guardrails, tracing, sessions, side-by-side code, and a migration checklist.
Frank Chen · May 11, 2026 · 11 minOpenAI API Rate Limits and 429 Handling
OpenAI API rate limits in 2026: usage tiers 1-5, RPM/TPM/RPD limits, 429 error headers, exponential backoff in Python and TypeScript, and gateway fallback patterns.
Frank Chen · May 11, 2026 · 11 minOpenAI Code Interpreter via API
OpenAI Code Interpreter through the Assistants API in 2026: capabilities, session pricing, file uploads, code examples, and DIY sandbox comparison.
Frank Chen · May 11, 2026 · 11 minOpenAI Embeddings: Engineer's Guide (2026)
OpenAI embeddings in 2026: text-embedding-3-large vs 3-small, pricing, the dimensions parameter, batching, pgvector and Pinecone integration, code examples.
Frank Chen · May 11, 2026 · 10 minOpenAI Fine-Tuning: When and How
OpenAI fine-tuning in 2026: supported models (GPT-4.1, GPT-4.1-mini, o4-mini RFT), SFT vs DPO vs RFT, data prep, JSONL format, costs, and when to skip it.
Frank Chen · May 11, 2026 · 11 minOpenAI Structured Outputs vs JSON Mode
OpenAI Structured Outputs (json_schema strict) vs JSON Mode (json_object): schema guarantees, code samples in Python and TypeScript, model support, and when to use each.
Frank Chen · May 11, 2026 · 10 minRespan vs Braintrust
Respan vs Braintrust compared honestly: evals depth, tracing, prompts, gateway, pricing, and target user. From the team running 80M+ LLM requests/day.
Frank Chen · May 11, 2026 · 13 minRespan vs Langfuse
Respan vs Langfuse compared honestly: instrumentation, tracing, evals, prompts, gateway, self-host, pricing, and community. From the team running 80M+ LLM requests/day.
Frank Chen · May 11, 2026 · 14 minRespan vs LangSmith
Respan vs LangSmith compared honestly: LangChain-native vs framework-agnostic, OTel, evals, prompts, gateway, pricing, and self-host. From the team running 80M+ LLM requests/day.
Frank Chen · May 11, 2026 · 13 minWhat Is Chain-of-Thought Prompting?
Chain-of-thought prompting explained: origin (Wei et al. 2022), zero-shot vs few-shot CoT, code examples, and when CoT helps vs hurts in 2026.
Frank Chen · May 11, 2026 · 10 minWhat Is Prompt Chaining?
Prompt chaining explained: what it is, why it beats single mega-prompts, common patterns (extract, reason, format), code examples, and when to graduate to agents.
Frank Chen · May 11, 2026 · 10 minWhat Are ReAct Agents?
ReAct agents explained: origin (Yao et al. 2022), the Thought-Action-Observation loop, Python and LangGraph code, modern relevance, failure modes.
Frank Chen · May 11, 2026 · 10 minWhat Is Semantic Search?
Semantic search explained: embeddings, vector databases, hybrid search with BM25, reranking with cross-encoders, evaluation, and a pgvector code example.
Frank Chen · May 11, 2026 · 10 minWhat Is Tree-of-Thoughts Prompting?
Tree-of-thoughts explained: origin (Yao et al. 2023), how ToT decomposes and explores reasoning paths, BFS vs DFS, Python implementation, when to use it.
Frank Chen · May 11, 2026 · 11 min12 Best AI Agent Frameworks in 2026
The best AI agent frameworks in 2026: Claude Agent SDK, Vercel AI SDK, LangGraph, OpenAI Agents SDK, CrewAI, Mastra, AutoGen/AG2, Google ADK, Pydantic AI, LlamaIndex Agents, Agno, SmolAgents. Tradeoffs and production fit.
Frank Chen · May 10, 2026 · 10 min11 Best Prompt Engineering Tools in 2026
The best prompt engineering tools in 2026: Respan, PromptLayer, Vellum, LangSmith, Braintrust, Langfuse, Promptfoo, Latitude, Helicone, Pezzo, Continue. Pricing and pros and cons of each.
Frank Chen · May 10, 2026 · 7 min8 Best Prompt Management Tools in 2026
The best prompt management platforms in 2026: Respan, PromptLayer, Vellum, LangSmith, Braintrust, Helicone, Promptfoo, Latitude. Pricing, features, and when each is the right pick.
Frank Chen · May 10, 2026 · 7 minClaude Code vs Cursor: The Honest 2026 Comparison
Claude Code vs Cursor compared: terminal agent vs IDE, Anthropic models vs flexible model routing, pricing tiers, agent capabilities, when to choose each. Verified May 2026 pricing.
Frank Chen · May 10, 2026 · 10 minClaude vs ChatGPT: The Honest 2026 Comparison
Claude vs ChatGPT compared head-to-head: model lineup, context windows, coding ability, pricing, multimodal, agents, voice, developer experience, and when to choose each. From a team running 80M+ LLM requests per day across both.
Frank Chen · May 10, 2026 · 16 minCodex vs Claude Code: The Honest 2026 Comparison
Codex vs Claude Code compared: OpenAI's GPT-5.2-Codex agent vs Anthropic's terminal coding agent, capabilities, pricing, when to choose each. Verified May 2026.
Frank Chen · May 10, 2026 · 7 minDeepSeek vs ChatGPT: The Honest 2026 Comparison
DeepSeek vs ChatGPT compared head-to-head: model lineup (DeepSeek V3, R1 reasoning vs GPT-5.5 / 5.4 / 5.4 nano), pricing (where DeepSeek's edge is most extreme), context, capabilities, agents, geopolitics. Verified May 2026 pricing.
Frank Chen · May 10, 2026 · 10 minGemini vs ChatGPT: The Honest 2026 Comparison
Gemini vs ChatGPT compared head-to-head: model lineup (Gemini 3.1 Pro / 2.5 Flash vs GPT-5.5 / 5.4 / 5.4 nano), context windows, pricing, multimodal, agents, voice, developer experience. Verified May 2026 pricing.
Frank Chen · May 10, 2026 · 12 minGrok vs ChatGPT: The Honest 2026 Comparison
Grok vs ChatGPT compared head-to-head: model lineup (Grok 4.3 / 4.20 / 4.1 Fast vs GPT-5.5 / 5.4 / 5.4 nano), context windows, pricing, multimodal, agents, voice, developer experience. Verified May 2026 pricing.
Frank Chen · May 10, 2026 · 12 minHow to Evaluate an LLM
How to evaluate an LLM for production: define criteria, build a test set, score with rule-based + LLM-as-judge + human review, run online evals on production traffic.
Frank Chen · May 10, 2026 · 6 minHow to Test AI Models
How to test AI models in production: rule-based checks, LLM-as-judge, sampled human review, eval pipelines, A/B testing, and the workflow that catches regressions before customers do.
Frank Chen · May 10, 2026 · 7 minLangChain vs LangGraph: The Honest 2026 Comparison
LangChain vs LangGraph compared: same team's two frameworks, when to use each, what they're good and bad at, real production tradeoffs in May 2026.
Frank Chen · May 10, 2026 · 7 minLlamaIndex vs LangChain: The Honest 2026 Comparison
LlamaIndex vs LangChain compared: RAG-first framework vs broad LLM toolkit, when to use each, ecosystem, integration patterns, real production tradeoffs in May 2026.
Frank Chen · May 10, 2026 · 7 minPerplexity vs ChatGPT: The Honest 2026 Comparison
Perplexity vs ChatGPT compared head-to-head: Sonar models vs GPT-5.x lineup, citations and web grounding, pricing, agentic search, when to use each. Verified May 2026 pricing.
Frank Chen · May 10, 2026 · 10 minWhat Is a RAG Pipeline?
RAG pipeline explained: what it is, the components (chunking, embedding, retrieval, generation), common architectures, agentic RAG, and how to ship one in production.
Frank Chen · May 10, 2026 · 6 minWhat Is Agentic RAG?
Agentic RAG explained: how it differs from classic RAG, when to use it, the production architecture, and the tools that handle it well.
Frank Chen · May 10, 2026 · 6 minWhat Is an LLM Gateway?
LLM gateway explained: what it is, what it does (routing, fallback, caching, rate limits), why teams adopt one, the difference from an AI gateway, and how to choose.
Frank Chen · May 10, 2026 · 5 minWhat Is LLM Inference?
LLM inference explained: what it is, how it works, why it costs what it does, latency components (TTFT, generation), batching, caching, and the production patterns that matter.
Frank Chen · May 10, 2026 · 5 minWhat Is LLM Tracing?
LLM tracing explained: what it is, what a trace contains, the OpenTelemetry GenAI conventions, sampling, and how to start tracing your stack today.
Frank Chen · May 10, 2026 · 4 minWhat Is Prompt Evaluation?
Prompt evaluation explained: what it is, why it matters, the three types (rule-based, LLM-as-judge, human review), and how to build a real eval pipeline.
Frank Chen · May 10, 2026 · 7 minWhat Is Prompt Versioning?
Prompt versioning explained: what it is, why it matters, how it works, the tools that do it, and how to build a prompt change workflow that doesn't break production.
Frank Chen · May 10, 2026 · 7 min