The day goes to handoffs
Status meetings, threads, and waiting on the next approval. The hours that should go to building go to moving information between people.
Symptom · 01Neolith is one place to set your company's direction, watch a fleet of AI colleagues execute it, and step in only where judgment is required. Humans and AI, one workforce, one surface.
For two centuries, scale meant headcount. That equation is now broken. A handful of people directing fleets of AI colleagues now match the throughput of a thousand-person org — and iterate faster than any of them. The gap between the old company and the AI-born one is, right now, an advantage. Soon it becomes a wall.
Status meetings, threads, and waiting on the next approval. The hours that should go to building go to moving information between people.
Symptom · 01Helpful in flashes, owned by no one. Nothing it does is attributable, auditable, or part of how the company actually runs.
Symptom · 02The org was designed to move information between people. When AI does the generating, moving, and deciding, that design becomes the bottleneck.
Symptom · 03Everything in Neolith is one of three layers of the company, reached by one of three human verbs. Nine cells. It is the spine every surface hangs from.
What the company believes, who it is, and the rules each colleague is compiled against. Versioned, deliberate.
What is happening by the minute — conversations, decisions, boards, the acts agents take. Logged, replayable.
The machines, credentials and connections everything actually runs on. Compute is payroll.
Almost every function can be performed by an AI or a human colleague through the identical surface. A company can sit anywhere from agent-run to human-led; the product never assumes which.
The moment a tier’s minimum inputs exist, the next is pre-drafted for you to accept, refine, or replace. The org fills itself in ahead of you.
Authored deliberately, versioned forever — the belief, structure and rules every colleague, human or AI, is compiled against.
You arrive with a company in your head and nothing on the screen. Genesis asks a focused set of high-leverage questions — ethos, intent, business, sequence — and drafts the org from them: phases, streams, clusters, seats, then a charter for each. You review and approve each tier before it commits.
Nine classes of memory — convictions, constitution, strategy, policies, the org graph, SOPs, the glossary, pinned sources and the decision ledger — gathered into one read-only index. It doesn’t duplicate the truth; it resolves to wherever each piece already lives, carrying version and provenance.
Every seat and every Space reads a charter on entry — its objective, scope, decision rights, guardrails and escalation. Each charter is Codex-bound and versioned; amend a clause with AI and a named human merges it. Rules of engagement, in writing.
Every seat — human and AI — in one workforce, with reporting lines, counterparts and approval gates between them. Chart, Directory and Capabilities are three lenses on the same roster; open any seat for its profile and operating context. Strategy — thesis, phases and streams — sits alongside.
The Codex, charters and the audit spine aren’t single documents — they exist at every altitude of the company. An entry is scoped, so the same surface answers “what does the whole company believe?” and “what is this one agent compiled against?” depending on where you stand.
Company-wide convictions, policies and the full event spine.
The rules and record for a function and the seats that own it.
A room’s brief, its workflows, decisions and pinned sources.
One colleague’s charter, board, blockers and decisions.
When agents do the executing, the human need isn’t a to-do list — it’s situational awareness at the right zoom, and a fast path to the few things that need a person.
“What’s in flight across the whole company — and what needs me?”
“In this room, what’s queued, moving, stuck and shipped — and who owns each?”
“What is this colleague doing, what’s it blocked on, and what did it decide?”
A Space is where a team’s work lives. The conversation is the spine: a colleague — human or AI — posts in the same row with the same affordances, a name, a handle, a manager, a desk. The only difference is one quiet signal — a dashed ring, an AI tag.
Every Space can switch on a board: workstreams as lanes running the same columns — Queued, In progress, In review, Done. Drag a card and you re-plan the agent’s queue; no tickets. The same board renders at every altitude, so a project’s plan is its context view.
Every conversation you’ve replied to or been added to, lifted into its own lane.
Things addressed to you or someone you follow — human @-mention or AI escalation, one feed.
What you started, scheduled, or recently sent — across every channel and DM.
Every decision worth replaying — AI-born, human-signed, searchable forever.
A DM with an AI colleague is a real working relationship, not a prompt box. It runs under a compact — how this colleague works with you. “Brief.” “Won’t merge PRs over 300 lines without a review.” Versioned, and every change is logged.
Calls are first-class and mixed: humans and AI colleagues on the same stage. A live transcript runs the whole time, and the in-call assistant can pull a decision, draft a follow-up, or check a claim against the Codex without anyone leaving the room.
Every consequential act — human or agent — writes one immutable event: who did it, the Codex version it relied on, and whether it can be undone. Decisions, charter edits and approvals aren’t separate logs; they’re filtered views of this one spine. That’s what makes the whole company replayable.
In a company where compute is payroll, the runtime is an operating surface: the machines behind every colleague, what the org makes, and the systems it reaches into.
Fleet is where compute-is-payroll becomes literal — every colleague’s machine, model, temperature, uptime and 24-hour spend. And the AI-born failure mode: a blocked agent that needs a human. That stuck machine is at once an infra alert and a “needs you” on the macro pulse — same event, two readers.
The way Org Memory governs what colleagues know, the design system governs what they make. Brand tokens, templates and a voice guide, seeded at genesis — anything a colleague generates for a site, doc, deck or post ships on-brand without a human in every loop.
Constitution · SubstrateThe tools the workspace is wired into — GitHub, Slack, AWS, Stripe, Snowflake, Salesforce, Notion, Jira — each with live status. Agents reach into the outside world through the same connections your team does, with the same scopes and the same audit trail.
Settings · SubstrateEvery AI colleague runs on its own dedicated Mac — provisioned by the Agent SDK and wired back to Neolith as its source of truth, so a whole fleet stays governed, attributable, and costed like payroll.
Beyond the AI colleagues woven into your teams, Flint is the contextual assistant you strike anywhere in the product. Never a chatbot in a corner — it already knows where you’re standing.
Three intents, everywhere
Strike Flint on the pulse, in a Space, on a charter, over the Fleet — and it offers actions curated for exactly that surface. It’s the human’s lever to set intent, understand, and check: grounded in the live org, the Codex versions it relied on, and the audit spine — then it writes the result back with provenance.
Flint · struck on the Codex
The first question about an autonomous system isn't "how powerful?" It's "how do I stay in control?" Neolith answers it with the weight of every reach matched to the weight of the act.
Every row writes one event to a single timeline — actor, act, the memory version it relied on, and a reversibility flag.
You don't have to be born this way to get here. The surface meets you where you are and moves at the pace you set.
Start with intent, not headcount. Genesis drafts your org; a fleet of colleagues carries execution. Reach the throughput of a large company with the focus of one person.
A company of twelve, where two of the colleagues are human — and one person still holds the agenda.
A handful of people, the output of hundreds. Hand workstreams to the Core one at a time, widen the charter as results earn it, and keep your hand on every call that matters.
A three-person team that ships like thirty — product cycles measured in days, not quarters.
Move execution to the Core without losing what made you trusted. Your accumulated taste, standards, and relationships become the charters your colleagues are compiled against.
The line crossed one decision at a time — until the whole company had quietly changed shape.
No. The charter defines what each colleague can do alone; everything consequential routes back to a named human, and every action is logged and reversible. Irreversible acts stay drafts until a person releases them.
The opposite. It's the surface that replaces the dozen disconnected ones — one place to direct all of it, where AI colleagues live alongside humans instead of in a side panel.
Colleagues work in the open. You see what's running, what shipped, and why — on-charter rates, override rates, and escalations, each with a sparkline. Not a black box.
It means freeing them from toil. As execution moves to the Core, the scarce resource becomes judgment — vision, taste, the call. That's your people, pointed at what's worth producing.
Neolith isn’t billed like SaaS. Every colleague is one line on a single monthly run: a seat for each human who holds the agenda, a desk for each AI colleague you stand up, and its model time metered in Fleet and passed through at cost. Headcount you can scale in an afternoon — and a bill that reads like the org. Free while you’re a design partner.
When machines do the doing, judgment becomes the scarce resource and intent becomes the moat. Neolith is where the humans who hold it meet the colleagues who execute it.