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Bhargav Joshi

Bhargav Joshi

Full-stack developer, Geiger Studios

Bhargav Joshi is a full-stack developer working across Node.js and PHP/Laravel, and increasingly on the AI systems behind web apps: RAG pipelines, self-hosted inference and custom agents. Bhargav builds Geiger Studios, a connected suite of apps for planning, creating and running work, and writes here about forms, events, AI models and what it takes to ship them.

Articles

Tutorials

Conditional logic in forms: 7 examples

How conditional logic works in online forms: the parts of a rule, which rule to use when, seven examples to copy, and the bugs to test for before launch.

Model Reviews

GPT‑5.6 Sol cuts cost by two‑thirds but raises hallucination risk

GPT‑5.6 Sol delivers the same Intelligence Index score as Claude Fable 5 for $1.04 per task – about one‑third the price – but introduces a measurable rise in hallucinations.

Model Reviews

Grok 4.5: The cheapest near‑frontier model that also hallucinates twice as much

At $0.31 per Intelligence Index task, Grok 4.5 undercuts rivals, yet its hallucination rate jumps from 25% to 54%, raising safety concerns for cost‑focused adopters.

Model Reviews

Muse Spark 1.1 Review: Meta Scores 51 on the Intelligence Index - Benchmarks, Cost Per Task & Where It Still Lags

Meta's Muse Spark 1.1 scores 51 on the Artificial Analysis Intelligence Index at ~$0.26 per task — but its 4x factuality gain came from abstention, not accuracy.

Model Reviews

AutomationBench-AA results: AI agents still break business rules

A new benchmark from Zapier and Artificial Analysis tested AI agents on 657 real SaaS workflow tasks. Anthropic's models lead — but every model breaks business rules, and Finance automation is still the weak spot.

Model Reviews

Claude Sonnet 5 Review: Benchmarks, Cost Per Task & How It Compares to Opus 4.8

Claude Sonnet 5 scores 53 on the Artificial Analysis Intelligence Index and matches Opus 4.8 on agentic tasks — but at standard pricing it costs more per task than the model it's supposed to undercut. Here's what the numbers actually show.

Model Reviews

GLM-5.2 Review: Benchmarks, Cost & How It Compares to DeepSeek and MiniMax.

GLM-5.2 tops the open weights leaderboard with a score of 51 on the Intelligence Index. Here's a breakdown of its benchmarks, cost per task, and how it stacks up.