Expert AI investor that evaluates startup pitch decks like a seasoned VC. Scores 9 criteria: Problem, Solution, Market, Business Model, Traction, Team, Financials, Competitive Edge, Market Timing. Provides strengths, weaknesses, tough investor questions, and specific improvements. Works for any industry, stage, and global market.
A read-only tool that describes the risk in your stock/ETF holdings: a 0-100 portfolio risk score, a risk level for each holding, factor exposure, four hypothetical stress scenarios, and how your exposure compares with reference limits for your chosen style. It does not recommend trades or quantities and is not investment advice.
This is the scoring reference the agent uses to turn raw crawl/API data into prioritized findings. Keep this file as the single source of truth — update it whenever a real audit reveals a false positive or a missing check. Scope covered: Crawlability & Indexation, Performance (Core Web Vitals), Structure & Markup. (Mobile/Architecture can be added in a later version.)
Your draft has blind spots. A structured three-lens check finds them before your readers do. For bloggers, newsletter writers, and note creators — anyone publishing text that represents their brand. What you walk away with: - A quality score (0–100) with a pass/fail threshold - 5–10 concrete, copy-paste rewrites — not vague "improve this" notes - Flags for claims that need a source - A readability check for your audience Runs in under 90 seconds. No API key. Works offline. $19 once.
Get your pitch scored by 3 experts — an investor, a buyer, and a skeptic. Find weak points before your audience does.
Scholar Evaluation from affaan-m’s ECC project. Use it to review research papers, proposals, literature reviews, thesis chapters, and other academic work with a structured 1–5 rubric. Evaluate research questions, literature, methodology, evidence, analysis, results, limitations, writing, and citations, then return clear scores, critical issues, revision priorities, and evidence checks.
Three independent AI reviewers audit your grant narrative for reviewer fatigue, eligibility gaps, and weak impact proof, then cross-examine each other.