Multiplayer AI for software delivery
Delivery is a graph,
not a queue.
An inbox asks "who signs this?" A graph answers "what else does this touch, what did it just invalidate, and who now has to look again?" — the question that actually costs teams their cycle time.
Who decides
Twelve personas. One graph of decisions.
A spec is any persona-owned document expressing intent in that persona's domain. Roles collapse gracefully onto small teams — the graph cares about accountability, not headcount. Every AI tool today hands each of these people a separate private chat. The graph is what they share instead.
Why multiplayer
Every AI coding tool today is single-player — one human, one chat, one agent. But delivery was never single-player.
VyomGrid makes the agents shared: Product, QA, Security, Ops and Engineering all work the same live graph — one place where every persona sees, steers, and ratifies the work.
The lifecycle bookends
Strong personas appear twice.
Early and late engagement are separate decision instances — the thing now exists, and the late one can raise objections the early one had no way to anticipate.
Early
"Is this worth building, at this priority?"
Business and market feasibility belong before architecture — not only after release.
Late
"Now that it's real — is it worth shipping?"
A separate decision instance, with evidence the early one never had.
The other half
Built is not live.
The phone is not an IDE.
The same graph is built to cover getting a feature deployed — and letting people decide from wherever they are, without touching source.
Propose. Never apply.
Infrastructure and DevOps draft the plan and the exact commands. SRE names the problem and stops. Agents never mutate the cloud — your IAM and an SRE/Ops human are the write gate. Azure, GCP, and AWS.
Docs move. Code does not.
The destination: stakeholders ratify, reject, or amend the product story from a phone. Documents update. Patches, PRs, and cloud apply stay on the desk — nothing from mobile ever approves code.
Why a graph wins
What a wiki plus an approval queue cannot do.
Staleness propagation
Upstream document changes mark every downstream ratification stale — with the delta — and route them back for a delta review, never a full re-read. The same computation as blast-radius over a call graph, run over decisions.
The join to code
Documents point at the code realizing them. "These files changed — which decisions are now unverified?" and "this decision changed — what has to move?" become answerable.
Agents draft, humans ratify
Nobody wants to write architecture documents from a blank page. Agents propose from the baseline and the codebase graph; personas edit, challenge, or sign.
VyomGrid is
The connective substrate for a graph of persona-owned decisions — who owns what, what depends on what, what went stale, who has to look again.
VyomGrid is not
A coding tool, a documentation wiki, a ticketing system, or an approval inbox. Those are executors plugged in underneath, or one edge type within the graph.
Stated plainly
What would make this fail.
A vision that can't fail isn't a bet. We track these openly.
Help us prove the bet.
The wedge is live: six agents, one human gate, one shared graph. Bring a repo; watch your first staleness delta.