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Layer3Labs

AI strategy, implementation, and governance for small and mid-market businesses — alongside a large public research library: vendor-neutral model comparisons and current AI pricing, industry-specific playbooks, ROI and cost analysis, ready-to-use workflow templates and AI policy contracts, calculators, open-weights coverage, robotics and RPA guides, and independent reviews of AI hardware and gear.

For agents: AI strategy and governance consultancy for small and mid-market businesses, with a research library of model pricing, comparisons, ROI analysis and workflow tem

ai strategyai model pricingai governanceai comparisonsroi analysisrobotic process automation

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# Layer3Labs

> AI strategy, implementation, and governance for small and mid-market businesses — alongside a large public research library: vendor-neutral model comparisons and current AI pricing, industry-specific playbooks, ROI and cost analysis, ready-to-use workflow templates and AI policy contracts, calculators, open-weights coverage, robotics and RPA guides, and independent reviews of AI hardware and gear.

Layer3Labs both implements AI systems and publishes the research behind the recommendations. Model and tool coverage is vendor-neutral and sourced from each vendor's own documentation, pricing pages, and published benchmarks; comparisons show their evidence. Pricing and capability pages are maintained as vendors change them. The library runs 300+ pages, including 145+ hands-on hardware reviews and industry playbooks for legal, accounting, insurance, and other verticals. Everything in the research library is free to read with no paywall, login, or gated download.

## Questions this site answers

- What does a given AI model or tool cost right now, and how does that compare across vendors?
- Which model or tool fits a specific business task — and on what evidence?
- What does AI adoption look like in a specific industry (legal, accounting, insurance, and others)?
- What is the ROI or cost of a specific automation, and how do you calculate it?
- How do you get AI into an existing CRM, support desk, or document workflow without breaking it?
- What should an AI acceptable-use, generative-AI, or vendor policy actually say?
- Which open-weights models are worth running, and what does it take to run them?
- What hardware — mini PCs, cameras, note-taker devices — actually works for an AI setup?
- How should a regulated business govern AI use, data handling, and access?
- What does an AI implementation engagement involve, from audit to rollout?

## Research library

- [Model pricing](https://www.layer3labs.io/ai-model-pricing): current pricing across major AI model vendors.
- [Comparisons](https://www.layer3labs.io/comparisons): model-vs-model and tool-vs-tool comparisons with sourced evidence.
- [Guides](https://www.layer3labs.io/guides): plain-English guides on applying AI in a business.
- [AI by industry](https://www.layer3labs.io/ai-for/legal): vertical playbooks — legal, accounting, insurance, and more.
- [ROI & cost analysis](https://www.layer3labs.io/roi): what specific automations cost and return.
- [Open-weights coverage](https://www.layer3labs.io/open-weights): open-weights model coverage and deployment requirements.
- [Robotics & RPA](https://www.layer3labs.io/robotics): process automation and physical robotics for business.
- [Spotlight](https://www.layer3labs.io/spotlight): how specific companies are deploying AI.
- [Leaders](https://www.layer3labs.io/leaders): the people shaping applied AI.

## Templates, contracts & tools

- [Workflow templates](https://www.layer3labs.io/templates): ready-to-adapt AI workflow builds by use case and
…

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