PROJECT: TheFocus.AI Research Division
DOC. NO: RM-REPORTS-INDEX
TheFocus.AI Labs • Est. 2024
Model evaluations, tool-use benchmarks, and honest field reports on where AI-assisted software is actually headed. Written by the team that ships production AI for Samsung, Tesla, Perplexity, and Rivian.
Which model should you actually use? We tested 48 models across reasoning, knowledge, instruction following, coding, and MCP tool use. Claude Sonnet 4.6 leads at 93.8% across all 5 dimensions. Interactive leaderboard with per-model detail panels.
Read the Report →
We gave 39 models access to a Rivian owner's real driving and charging data via MCP tools and asked them to summarize 10 days of activity. Most can call tools. Far fewer call the right tools.
Read the Report →
We tested 131 AI models with one simple question: "Should I walk or drive to the car wash?" Only 24% figured out you need to bring your car. Interactive report with charts and full model comparison.
Read the Report →
Want to understand how AI coding agents actually work? We built one from scratch — and documented every step. This is the tutorial we wish existed when we started.
Read the Tutorial →
We gathered leading coding agent builders, engineers, and researchers to share what's actually working. Here's what we learned.
Read the Report →
We tested 15 leading AI coding tools and documented the strengths, weaknesses, and surprises. Clear recommendations for different workflows and experience levels.
Read the Full Report (PDF) →For Practitioners Ready to Build
The team behind this research also ships production AI.
Principal-led engagements. From tribal knowledge to production AI — in weeks, not quarters.
TheFocus.AI Research Division
Exploring the future of AI-powered software development
Whether you need a quick Vibe Check or a full Habitat built on Habitat OS, we'd love to hear what you're working on.