How is this study material built?
Four-source synthesis. (1) Anthropic Academy courses on Skilljar (the official Anthropic content, free for all). (2) The four official exam guide PDFs (one per Claude certification) - domain weightings, scenarios, sample questions. (3) Anthropic Partner Network internal briefings on what beta-cohort candidates struggled with. (4) Community signal from r/ClaudeAI score posts and public exam debriefs. Every claim is tagged by source tier.
What is the evidence pip system?
Each factual claim on the site carries a colored emoji: 🟢 official-Anthropic (exam guide, Academy course, Anthropic team statement), 🟡 secondary (partner network materials, beta cohort consensus), 🟠 community (Reddit threads, community blogs, individual debriefs), 🔴 disputed (claims with conflicting sources). The system makes source-quality visible at-a-glance instead of asking you to trust the site uncritically.
Why use tier-graded sourcing instead of just citing sources?
Standard citations let bad sources hide behind a footnote. Evidence pips force every claim to declare its provenance inline - so you can tell at-a-glance whether a number came from Anthropic's exam guide (🟢) or someone's Reddit post (🟠). It mirrors how scientists distinguish primary literature from review papers, applied to certification prep.
How fresh is the content?
Every page footer shows its last-reviewed date. Standard review cadence is 60 days. When Anthropic publishes new guidance - exam blueprint update, Academy course release, release notes mentioning a new primitive - the site is refreshed within 5 business days. The /evidence page lists the source freshness review history.
Who built this site?
Manikandan Jeeva, VP of Data, AI & Analytics at Genpact. Built as personal CCA-F prep, then opened to the public and broadened to all four Claude certifications when content depth proved useful. The site is independent of Anthropic but the author's employer is an Anthropic Partner Network member. The /evidence page lists all sources transparently.
How does the site avoid hallucinated or out-of-date facts?
Three guards. (1) Every claim has an evidence pip - a reviewer can spot un-sourced or 🔴 disputed claims at a glance. (2) Critical exam facts (60 questions, 720 to pass, 5 domains) are kept in a canonical fact registry (lib/exam-guide.ts) so they're never re-typed or paraphrased in prose. (3) AI-generated content (adaptive plans, mental-model summaries) runs through deterministic templates first - LLM only fills curated slots, never invents structure.
