Not just agents in a chat window but a proper decision engine
to power up all the docs you need to run your business.
This is filler copy.
Put the copy you think
is appropriate here.
This is filler copy.
Put the copy you think
is appropriate here.
This is filler copy.
Put the copy you think
is appropriate here.
Pressure-test a claim before it ships, not after someone else does.
Cross-check compliance angles and win themes across a room of models before it goes out the door.
A second, third, and fourth opinion when there's no cofounder down the hall to argue with.
Defensible, documented recommendations — the reasoning survives the client asking "why."
Have the roadmap argument before the meeting, not during it.
Stress-test positioning and launch sequencing before it's locked in.
Red-team the plan before it's in the deck.
Let the tradeoffs get argued out in the doc, not in a six-person Slack thread.
Turn a pile of sources into one Live Doc with the disagreements still visible.
Your infrastructure. Local. That is the Monolith promise.
Bounded cost holds roughly flat; naive cost climbs. The gap — your savings — widens the longer you use it.
90% less token useguarantee.
fewer input tokens across a session at this roster and depth.
Ceiling: up to 90% fewer input tokens once real depth exists across a large roster. The projection above scales with agents and session length because the naive cost keeps climbing while bounded stays flat.*
* Illustrative projection based on token math, not a guaranteed result for every session. Grounded in a matched controlled test — naive full-history replay vs. Monolith bounded retrieval, same roster, same rounds — where reduction compounds with roster size and session depth, up to 90% at the deep end. Your real number depends on your usage.
A Phase 2 build (Rust, macOS) that extends the same bounded-retrieval mechanism to image and video creative review.