1) Remove the phc_CYeeEQAYy3aBXVNKkGixozIAYtyiNhxde4q30cnK533 token from the URL path and query strings; 2) Replace token usage with a safer method: supply via a secure header (Authorization: Bearer <token>) or via a server-side fetch with proper CORS, not exposed in client-visible URLs; 3) If phc_ tokens are publicly exposed write keys, verify they are restricted and intended for public use, otherwise replace with restricted, non-secret keys; 4) Implement or enforce Content Security Policy (CSP) and Referrer-Policy headers to minimize data leakage; 5) Add monitoring to ensure no secrets appear in logs or analytics requests.

In the code for the /explore page, wrap all external tracking script loads behind a consent check. After user consents, dynamically inject the following: Google Tag Manager with advertising features disabled, PostHog loaded from a first-party domain or self-hosted, Intercom script only after consent, and LinkedIn/Reddit tracking pixels disabled until consent. Ensure no personal data is sent in query parameters (avoid user identifiers in URLs). Add IP anonymization where possible and set cookies with SameSite=Lax or Strict. Provide a code snippet showing a consent-guarded loader for each external script and update the privacy policy accordingly.

Remove production console logs that mention 'AI/LLM ENDPOINT DETECTED' or expose internal AI endpoint details. Guard diagnostic logs with an isDev or env.production check, and ensure only safe, high-level messages are logged in production.