1. What TankForge uses
- Species and equipment catalog facts, including water type, size, chemistry ranges, temperament, filter type, and maintenance metadata.
- Explicit care-plan rules that target species groups, tank purposes, filtration styles, and setup context.
- On-device heuristics that adapt those rules to tank history, stocking pressure, and recent maintenance behavior.
2. What the confidence labels mean
- High: stronger agreement between catalog data, rule coverage, and known husbandry patterns for that scenario.
- Medium: useful guidance, but more dependent on general aquarium husbandry patterns or partial catalog coverage.
- Low: limited evidence, sparse catalog support, or an area still relying heavily on fallback logic.
3. How care plans are generated
TankForge combines three layers:
- A baseline rhythm generated from tank size, water type, filtration adequacy, stocking pressure, maintenance history, and current setup.
- Rule-based adjustments for specific situations such as breeder tanks, quarantine tanks, reef systems, heavy-bioload species, or species with explicit overrides.
- Task-level evidence that explains which rules influenced the final water-change, filter-service, or parameter-testing schedule.
4. What TankForge does not claim
TankForge guidance is informational only. It is not veterinary advice, emergency advice, or a guarantee that a species pairing, treatment, or maintenance plan is safe in every setup.
Outputs should be reviewed against manufacturer instructions, retailer guidance, breeder notes, veterinary input when appropriate, and the specific conditions of your tank.
5. Current limits
- Some species and equipment have richer metadata coverage than others.
- Not every catalog item has a species-specific husbandry rule yet.
- Some recommendations still depend partly on generalized aquarium logic rather than narrow species-by-species rule tables.
6. How we’re improving it
- Adding more explicit species-level and filter-level husbandry rules.
- Expanding source attribution, review dates, and confidence scoring across the catalog.
- Improving transparency so users can see why a recommendation exists, what triggered it, and how strongly it is supported.
7. Contact
If you find an issue with species data, rule logic, or source attribution, contact [email protected].