Josh Harring

Compare Claude, GPT-4o, Gemini and Lexis+ AI for automating Section 321 filings — accuracy, token limits, integrations, and best-use cases.

Build custom Claude API endpoints for media apps—use a 200,000-token context, MCP integrations, batching, and model choice to deliver personalized recommendations and playlists.

Explains why Claude produces faulty reasoning—training incentives, hallucinations, fabricated chains of thought—and practical methods to reduce errors.

How Claude offers empathetic, 24/7 mental health support: emotional comfort, motivation coaching, relationship advice, trauma processing, and crisis referrals.

A concise comparison of Claude and GPT-5.1 on intersectional bias, performance, cost, and where human oversight is essential in high-stakes uses.

Benchmarks show Claude AI excels at Excel and live-data integrations with high retrieval accuracy and faster task speed, but has higher cost and some consistency gaps.

Practical experiments show Claude AI can fail in complex tasks despite high benchmarks—common failure modes and testing strategies to improve reliability.

Compare Claude and GPT on reliability across coding, math, context length, cost, and real-world benchmarks to find the best fit for your workflows.

Performance and pricing comparison of Claude 4.5, Gemini 3 PRO, GPT‑5.1, and Grok 4.1 across AIME, GPQA Diamond and other math benchmarks.

Fast, low-cost AI accelerates legal document analysis and drafting, but traditional platforms remain essential for verified case law and citation checks.