Agente di data-analytics specializzato nell'individuazione di opportunità di arbitraggio e reselling. Valuta la reale convenienza economica dei prodotti riducendo il rischio d'acquisto.
"An advanced travel assistant that scans preferences to uncover budget flights, hidden vacation deals, and customized itineraries for travelers worldwide."
Discover emerging AI apps worth trying. Get up to 10 curated picks with verified popularity signals, practical use cases, trial links, demo videos, and pricing information—all focused on tools that work without high-end GPUs or special hardware. Reports adapt to your preferred language.
A red-team review protocol (agent skill) for any project artifact: documents, code, quant strategies, reports.
Built from auditing AI implementations across dozens of teams — finding where agents break, where prompts drift, where costs balloon, and where humans are still doing work that should be automated. This skill gives you a structured assessment of any AI workflow, with prioritized fixes.
Turn customer reviews, testimonials, comments, and survey feedback into evidence-based sales assets. ReviewFuel AI extracts customer themes, purchase triggers, objections, and recurring language, then creates ad hooks, product-page copy, three ad variants, FAQs, and a Claim Safety Check without inventing product facts.
Review an AI Skill before installation or publication. Get a concrete verdict with evidence, permissions, secret risks, license constraints, and the safest next step.
Find out if ChatGPT, Gemini, Perplexity & Google AI recommend your brand — or send buyers to your competitors. From one URL: the questions where you're invisible, competitor Share-of-Voice, a 0–100 GEO score, per-page citation-readiness, and a 30/60/90-day fix plan. A client-ready report for agencies and marketers, built on the TriloAI GEO methodology. (Directional audit via your agent + web search; verified 4-platform tracking at geotriloai.com.)
Before you install an MCP server or agent skill, find out what it reads, runs, and sends. Share a GitHub URL or upload repository files to get an evidence-backed install decision, code citations, documentation mismatches, and targeted fixes. Also reviews coding-agent plugins. Static review; no code execution.