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Case Prep AI

AI learning

Case Prep AI (CaseStudyPrep.AI) is an AI case interview practice tool for consulting industry job seekers, mainly used to simulate case interviews at top consulting firms such as McKinsey, Bain, and Boston Consulting Group (BCG). It provides a voice-driven AI interviewer, allowing users to converse naturally as in a real interview, with the AI responding in real time and adjusting based on the answers. After each case ends, users receive instant feedback and structured scoring on structure, calculations, and synthesis, helping them identify weak areas and track progress. The platform includes a complete MBB case library, covering interviewer-led, candidate-led, fit interviews, and BCG Casey simulations, and supports generating customized cases from any job posting. According to the official introduction, the tool has been used by thousands of candidates, including professionals from McKinsey, Deloitte, EY, and PwC. The official website offers a free trial (no credit card required), along with an individual advanced plan and white-label solutions for schools/enterprises.

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Casper AI

AI productivity

Historical third-party summary: A historical AI Track article describes Casper AI as a Chrome extension for summarizing, understanding and sharing written web content, linking casperai.xyz. An independent Creati index also describes article summaries and key-point extraction. AI Track publication is2024-02-20 and modification2024-08-24; checked2026-10-18. Source full text not verified for the Creati index; its complete request returned403. Free access, accuracy and current store availability are unverified. The official original/current extension status were not verified, and no browser extension was downloaded or installed.

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caspian-sdk

AI developer platforms

Caspian is an open-source AI agent communication SDK that provides a unified communication layer for AI Agents, supporting channels such as email, WhatsApp, Slack, Discord, Telegram, SMS, and more, with implementations in both Python and TypeScript. Its core idea is to treat channels as transport methods rather than separate identities: the agent's reasoning decides what to say, and Caspian is responsible for how it exists on platforms such as Slack, Discord, Telegram, email, WhatsApp, X, Linear, and others. Developers only need to call channels.add() once per channel to uniformly handle threading, webhook verification, and platform-specific features using declarative rules. Caspian mainly handles "agent-to-human" communication, rather than agent-to-agent protocols like A2A and ACP.

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Causal

AI finance

Causal (causal.app) is a financial strategy platform based on the concept of extended planning and analysis (xP&A), dedicated to unifying financial and operational planning. It connects data from multiple sources such as accounting systems, HRIS, ERP, CRM, etc., helping teams complete budgeting, forecasting, scenario analysis, and reporting on one platform. The platform emphasizes dynamic multidimensional modeling, real-time data insights, and collaborative permission management, and provides an AI modeling agent called Modeler Agent: users describe their requirements in natural language, and the agent can generate a complete xP&A model including partitions, variables, timelines, aggregations, and formulas, which can continue to be edited and reviewed. The official website claims that this solution can reduce complex formulas and save time on manual processes, serving more than 6,500 customers worldwide, and is suitable for scenarios such as financial planning, consolidated reporting, headcount planning, and operational planning, and runs in a secure cloud environment. Regarding specific pricing, packages, and deployment details, the information does not provide them.

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cc-audit

AI coding

cc-audit is a tool for checking whether a CLAUDE.md or AGENTS.md file complies with 12 baseline rules for AI coding agents. It is implemented as a single Python file, with no external dependencies and about 240 lines of code. The tool can detect missing baseline rules (such as token budget, visible failures, precise edits, convention over novelty, etc.), leaked secrets (GitHub PAT, AWS keys, API keys, plaintext passwords), a missing "project-specific" section, and crossing the 200-line compliance cliff. The output includes a compliance score, a list of missing rules, and any leaked-secret flags, with exit codes of 0 (pass), 1 (warn), or 2 (fail), and it supports a --json option for machine-readable results. In addition, it can be used as a GitHub Action to generate a compliance report for each PR. According to a scan of 492 public CLAUDE.md files, the median compliance score was 3/12, no file received a perfect score, no leaked production secrets were found, and the most commonly missed rule was "do not edit out of bounds" (98% non-compliance). cc-audit is used in pair with claude-code-pro-pack, from which the rules are derived.

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ccg-workflow

AI productivity

CCG (Claude + Codex + Gemini Multi-Model Collaboration) is a multi-model collaboration workflow engine for Claude Code. It turns Claude into a multi-model orchestrator: Claude retains lead control, dispatching specialized work via a Go binary bridge to external models such as Codex (OpenAI), Grok (xAI), Kimi Code (Moonshot), and Antigravity. Users only need to enter the single command /ccg:go and describe their requirements, and the engine automatically analyzes intent, selects a strategy, and orchestrates collaborative execution. The engine has 10 built-in strategies, automatically selected according to task type and complexity; the Hook engine injects state into each round of conversation via 4 JavaScript hooks, so that context is preserved even after compaction; tasks of medium complexity and above have lifecycle management with persistent directories; it also includes quality gates and 100+ domain knowledge files, automatically injected according to topics mentioned in messages. In addition, it provides independently installable native skills, OpenCode and DeepSeek Harness working modes, and features such as doctor self-check reports.

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