Your backlog grows faster than you can play it, and a dozen review tabs scattered across the web don't help. Taskade Genesis pulls scores together, stores your personal notes, and lets an AI agent surface what to play next — all in one clean workspace.
What Is a Video Game Review Tracker Template?
A personal or team workspace that catalogues games with genre tags, platform, critic scores, and personal ratings — linked by series or franchise using the Relationship field — so you always know what's worth your time.
Why Use a Video Game Review Tracker Template?
A scattered backlog means great games get forgotten.
- Relational franchise linking — connect sequels and spin-offs to their parent series so you tackle games in the right order.
- Table view for score comparison — sort by critic score, personal rating, or hours-to-beat at a glance.
- AI recommendation agent — one prompt produces a "what to play next" shortlist based on mood, genre preference, and available time.
- Built-in automations — log a new game and it auto-tags the genre and sets a "Want to Play" status.
- Workspace DNA: Memory → Intelligence → Execution — the agent remembers your taste profile across sessions for sharper recommendations.
Who Should Use a Video Game Review Tracker Template?
- Hardcore gamers with 200-game backlogs who want a smarter way to prioritise.
- Games journalists tracking review assignments, embargo dates, and publish status.
- Podcasters and YouTubers coordinating game coverage with a co-host.
- Parents choosing age-appropriate games for their household.
How To Use a Video Game Review Tracker Template?
- Hit Use Template to clone the workspace — no setup, no code.
- Add games to the database with platform, genre, and your personal score.
- Link sequels to parent franchises using the Relationship field.
- Switch to table view to sort and filter your entire library instantly.
- Ask the AI agent for a "what to play tonight" recommendation based on your current mood.
Find more hobby tools at /community or browse AI apps for ready-made recommendations engines.