Buyer's Guide: Which SPRAPP Product Do You Actually Need?
A plain-language guide to choosing among SPRAPP Panel, smoltext, TinyLM, and Sprappy Filter.
Four Products, Four Problems
SPRAPP sells four distinct tools, and they don't compete with each other — they solve different problems. This guide helps you match a problem to a product instead of buying everything. Often you need one; sometimes you combine several.
SPRAPP Panel: When You Need Better Answers
Choose Panel when answer quality on hard, ambiguous, or high-stakes questions is your problem. It runs several models in parallel and reconciles them, surfacing disagreement as a confidence signal. It is not the right tool for trivial lookups — there a single model is cheaper. Pick Panel when the cost of a wrong answer justifies the cost of multiple models.
smoltext: When You Move Many Small Payloads
Choose smoltext when your problem is the size and volume of small structured text — JSON, logs, queue messages — crossing network or storage boundaries. It targets the niche where general compressors leave gains on the table. If you mostly move large files, a standard compressor is fine and smoltext isn't your answer.
TinyLM: When Data Can't Leave the Device
Choose TinyLM when privacy, offline operation, or per-call cloud cost rules out hosted models. It runs small models entirely on-device. The honest tradeoff is capability: small local models won't match frontier cloud models on hard reasoning. Pick TinyLM when local-and-private beats maximally-capable for your use case.
Sprappy Filter: When You Need a Cheap First Line of Defense
Choose Filter when you want to screen input for threats — prompt injection, abuse — before spending an LLM call. It's fast and cheap enough to sit in front of every request. It's a first-line screen, not a complete safety system, so pair it with downstream safeguards.
How They Combine
These products stack naturally. Sprappy Filter can guard SPRAPP Panel so you don't spend multi-model calls on malicious input. smoltext can shrink the payloads moving between your services. TinyLM can handle the offline, private cases while Panel handles the hard online ones. You don't have to choose just one.
A Simple Decision Path
Start from your actual pain: bad answers point to Panel; bandwidth or storage on small payloads points to smoltext; privacy or offline needs point to TinyLM; unsafe input points to Sprappy Filter. Then check whether two of them combined solve it better.
Next Steps
Each product has its own quick start and API reference at https://doc.sprapp.com. Prototype against your real workload before committing — every one of these tools has a sweet spot and a place where it's the wrong choice.