DFSGPT

From a mess of DFS information to one clear game plan

JARVIS uses AI to research the slate, synthesise the information, evaluate players for different contest types and help build your lineups.

Here’s what happens before you click Generate.

1

JARVIS starts with the slate

Salaries. The player pool. The games. The contest format. Available projections and ownership information. Relevant injuries and slate context.

It begins with the same question you do: what actually matters on this slate?

2

JARVIS does the research

Instead of asking you to spend hours consuming DFS content, JARVIS processes relevant research and analysis and brings the useful parts into the slate.

Then it synthesises what matters rather than dumping more content on you. Less information overload, more decision-ready information.

3

Every relevant player gets evaluated

JARVIS turns the research and slate context into structured player analysis: recommendations, reasoning and contest-specific grades.

Designed to answer the three questions you actually have. Who belongs in my lineup? Who belongs in my player pool? Who am I comfortable fading?

4

JARVIS adjusts for the contest

Cash isn’t the Milly Maker. Single entry isn’t 20-max.

A highly owned, high-floor player can be exactly what you want in one contest and exactly what you don’t want in another. JARVIS evaluates the slate accordingly rather than producing one ranking and reusing it.

Example Player
WR · Main slate
$7,200
Cash
A
Single Entry
A-
3-Max
B+
20-Max
B
Large-Field GPP
C+
Milly Maker
C
Illustrative grades on real contest types. Same player, same slate, different decision.
5

You make the final calls

Review the analysis. Ask JARVIS questions. Lock players. Fade players. Or change nothing at all.

You’re the player. JARVIS is the sidekick.

6

JARVIS builds the lineup

Once you’re ready, JARVIS turns the analysis and your preferences into a legal, salary-cap-compliant lineup for the platform and contest format you selected.

Then export and enter.

One thing this is not

It is not a guarantee. DFS has real variance, and a well-reasoned lineup loses all the time. What this gives you is a defensible process and the reasoning behind every call, so when a decision goes wrong you can tell whether it was a bad decision or a bad result. Those are not the same thing, and confusing them is the most expensive habit in daily fantasy.

Let JARVIS research your next slate.

The fastest way to judge any of this is to open the most recent slate and read it.

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