AI Berkshire vs career-ops
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A set of AI prompt-based value investing research skills for Claude Code and Codex.
Open source · MIT
Open-source AI job search agent that scores jobs against your CV and drafts applications for you to submit.
The short answer
Choose AI Berkshire if you need…
- Chinese-speaking investors who want a structured value investing checklist applied to specific companies
- People already using Claude Code or Codex who want repeatable research templates
- Analysts who want to compare several companies against the same criteria
- Readers who want to see how an AI-driven research process is organized
Choose career-ops if you need…
- Job seekers who apply to many listings and want to filter them before spending time on each one
- People already using Claude Code, Codex, or OpenCode who want job search inside that environment
- Candidates who prefer keeping their CV and data on their own machine
- Anyone wanting help tailoring a resume and cover letter to specific postings
Side-by-side
| AI Berkshire | career-ops | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 17k | 79.4k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | HTML | JavaScript |
| Last code update | 5 days ago | 4 days ago |
What each one is
AI Berkshire
AI Berkshire is a collection of investment research "skills" (structured prompts and workflows) that run inside Claude Code or Codex. It is built around the investing methods of Buffett, Munger, Duan Yongping and Li Lu, and includes multi-agent workflows where several agents research a company in parallel and then a lead agent combines their conclusions. The README is largely in Chinese and focuses on Chinese and US stocks.
career-ops
career-ops is a free, MIT-licensed tool that runs locally inside an AI coding CLI such as Claude Code or Codex. It scans job boards, scores each listing from 1 to 5 against your CV, and helps tailor an ATS-friendly resume and cover letter, plus interview prep and an application tracker. It helps fill in applications, but you press Submit yourself.
Best for
AI Berkshire
- Chinese-speaking investors who want a structured value investing checklist applied to specific companies
- People already using Claude Code or Codex who want repeatable research templates
- Analysts who want to compare several companies against the same criteria
- Readers who want to see how an AI-driven research process is organized
career-ops
- Job seekers who apply to many listings and want to filter them before spending time on each one
- People already using Claude Code, Codex, or OpenCode who want job search inside that environment
- Candidates who prefer keeping their CV and data on their own machine
- Anyone wanting help tailoring a resume and cover letter to specific postings
Strengths
AI Berkshire
- Gives the same research structure every time, so outputs are easier to compare across companies
- Organizes 22 named skills by task, such as deep research, earnings review, and portfolio management
- Open source under MIT with a large public following and a published report archive
career-ops
- Runs locally, so your CV and job data stay on your machine according to the README's local-first design
- Open source under the MIT license, with a public codebase you can inspect
- Works inside several AI coding CLIs rather than one proprietary service
Not ideal for
AI Berkshire
- Anyone wanting guaranteed or verified investment returns: the README's performance figures are self-reported and it warns that past returns do not predict future ones
- Beginners without an AI coding client subscription, since the skills depend on Claude Code or Codex
- People who need a licensed financial advisor's personal recommendation; the project is a research aid, not advice
career-ops
- People who want a fully automatic bot that submits applications for them, since the README says you press Submit
- People without an AI coding CLI set up, because the tool runs inside one
- Anyone who is uncomfortable with an AI tool reading and rewriting their CV
Trade-offs
AI Berkshire
- Output quality depends on the underlying model and on data sources the README does not fully describe; the README itself notes higher-stakes analysis benefits from stronger models
- The track-record claims are shown as screenshots and a table, and cannot be independently verified from the repository alone
- Documentation is mainly in Chinese, with the main market focus on Chinese and US equities
career-ops
- The README is truncated and does not fully document features, so exact capabilities are unclear from it alone
- Output quality depends on the underlying AI model you connect, which the README does not benchmark
- Requires familiarity with a command-line AI tool, which may be a barrier for non-developers
Getting started
AI Berkshire
Install Claude Code
npm install -g @anthropic-ai/claude-codeInstall Codex via npm
npm install -g @openai/codexcareer-ops
Initialize career-ops
npx @santifer/career-ops initFrequently asked questions
What is the difference between AI Berkshire and career-ops?
AI Berkshire: A set of AI prompt-based value investing research skills for Claude Code and Codex. career-ops: Open-source AI job search agent that scores jobs against your CV and drafts applications for you to submit. AI Berkshire suits chinese-speaking investors who want a structured value investing checklist applied to specific companies, while career-ops suits job seekers who apply to many listings and want to filter them before spending time on each one.
Are AI Berkshire and career-ops free?
AI Berkshire: Free and open source. career-ops: Free and open source.
Is AI Berkshire or career-ops more popular?
career-ops has more GitHub stars (79.4k) than AI Berkshire (17k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to AI Berkshire and career-ops?
Other options people compare them with include Hermes Agent, Vibe-Trading, Frontend Slides, watermarks-remover, GenericAgent.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.