Why neww.ai · See exactly what Neww.ai can enable for you

See Neww.ai systems in action.

Neww.ai is the Agentic Domain AI Operating System — one platform where domain agents, automations, connectors, memory, approvals, artifacts, and admin observability work together to execute real workflows.

Choose a workflow below. Watch the agent plan, retrieve knowledge, call tools, request approval, generate artifacts, and route work across domains.

  • 44 domain workspaces
  • Shared agentic runtime
  • Cross-domain automations
  • Connector-ready architecture
  • Human approval gates
  • Admin observability
  • Artifact generation
  • Workflow replay
Domain OS
51
Categories
6
Workflows
10+

interactive · cross-domain · auditable

Shared layer
1

agents · memory · billing · admin

Chat is the interface. The operating system is the product.

Live demo

Choose a workflow and watch Neww.ai execute.

Every step below is driven by a real AgentRun in Postgres, streamed live over Server-Sent Events from /api/why-neww-ai/runs/[id]/events. Tool calls, approvals, and artifacts are real rows you can replay in /admin/agents.

Workflow

Debug Software

PainYour product has broken pages, console errors, failed APIs, and no launch proof.

Agent run timeline

  1. 01 / 07

    Inspect routes in the live build

  2. 02 / 07

    Launch headless browser QA

  3. 03 / 07

    Capture console + network errors

  4. 04 / 07

    Identify broken APIs and UI issues

  5. 05 / 07

    Generate repair plan and code diff

  6. 06 / 07

    Apply fixes and re-run tests

  7. 07 / 07

    Produce launch-readiness artifact

Tool calls

waiting for agent to call tools…

Domains touched

  • Code OS
  • Agent OS
  • Observe OS
  • Admin

Tools + connectors

  • GitHub
  • Playwright
  • Build system
  • Sentry

OutcomeShip with proof, not guesswork.

Open Code OS

DEMO RUN · sandbox · read-only safe tool registry · cost-capped per run · rate-limited per visitor · same Postgres schema, same admin replay surface as production.

Choose your workflow

Pick a role. See exactly what Neww.ai does for you.

Tap any role on the left. The right panel shows the live workflow, the agents that run it, the connectors it touches, and the outcome on the other side.

Founder

PainGTM, code, sales, marketing, payments, and analytics live in seven different tools.

Workflow

  1. 01Plan positioning in Assistant OS
  2. 02Build the MVP in Code OS
  3. 03Launch CRM, marketing, payments together
  4. 04Track conversion in Analytics OS
  5. 05Forecast in Revenue OS

Domains

  • Assistant
  • Code
  • CRM
  • Marketing
  • Payments
  • Analytics
  • Revenue

Agents

  • · Positioning agent
  • · Code repair agent
  • · Lead capture agent
  • · Campaign agent

Connectors

  • Stripe
  • Shopify
  • Gmail
  • PostHog
  • GitHub

OutcomeLaunch a full GTM stack on day 1 — skip the $80K/year SaaS line item.

Run founder workflow

The problem

The modern software stack is too fragmented for AI-native work.

AI cannot transform work if it is trapped inside disconnected products. Six structural failures show up in every team we've talked to.

  • 01

    Tool sprawl

    Teams now run work across dozens of products — chat, search, code, CRM, analytics, payments, observability, HR, ITSM, MLOps, security, ops. Each has its own data, permissions, dashboards, and AI assistant.

    The toll

    $80K+ per year in overlapping SaaS for a 20-person team — before headcount.

  • 02

    Context loss

    Every tool holds only a slice of the customer, project, or operational picture. AI cannot reason across the business when each app is a walled garden of state.

    The toll

    Your AI assistant can't see 90% of what your business already knows.

  • 03

    Manual handoffs

    People still copy, paste, summarize, export, import, and update systems by hand. The supposed automation layer is a row of browser tabs and human glue.

    The toll

    Knowledge workers spend ~11 hours/week switching tabs and re-entering data.

  • 04

    Shallow AI

    Most AI features are chat boxes stapled to old software — no tool calls, no approvals, no artifacts, no memory across products.

    The toll

    You're paying premium AI prices for a textbox that can't take action.

  • 05

    No unified automation

    Each tool ships its own workflow builder with its own triggers and webhooks. Cross-domain execution requires a custom integration layer your team has to build and maintain.

    The toll

    Every new vendor adds a Zapier line item and a ticket to integrations.

  • 06

    No AI governance

    Admins cannot reliably inspect agent actions, costs, approvals, and failures across the business. Every vendor reports its own AI usage in its own format.

    The toll

    When the AI ships something wrong, nobody can replay what actually ran.

The solution

Seven shared primitives. Forty-four domain workspaces. One bill.

Buy a CRM, an analytics tool, an observability vendor, and an AI assistant — you get four identity systems, four billing portals, four data models, and four AI textboxes that don't share state. Neww.ai gives you one of each, and the same agentic runtime underneath them.

Start in Search OS, push findings into CRM OS, trigger a Marketing OS campaign, watch results in Analytics OS, forecast in Revenue OS, open an Ops OS task — all from one identity, on one runtime, against one memory layer, billed once. That's what a Domain AI OS does that a stack of point tools can't.

Domain workspace (44x)
  ├─ Domain UI + workflows
  ├─ Domain agents + tools
  └─ Domain APIs

Shared platform (1x)
  ├─ Identity + tenancy
  ├─ Memory + retrieval
  ├─ Agentic runtime
  ├─ Connectors + gateway
  ├─ Billing + usage
  └─ Admin observability
  • Sign in once

    One identity across all 44 workspaces. SSO, role-mapped, tenant-isolated — no per-domain provisioning ritual.

  • Remember everything

    Shared retrieval, embeddings, and workspace memory mean agents in CRM, Code, and Observability reason on the same context — not their own little walled garden.

  • Run agents anywhere

    Tasks, runs, tool calls, approvals, schedules, retries — one engine. Build a workflow once, invoke it from any domain.

  • Connect what you use

    OpenAI, Anthropic, Stripe, Salesforce, Plaid, FHIR, Shopify, and 50+ more from one connector registry. Add a connector once; every agent gets it.

  • Bill on usage

    One invoice, one usage record, one budget. Track spend per agent, model, workflow, and customer — without pivot tables.

  • Govern every run

    Approve risky actions before execution. Replay any run end-to-end. See costs, prompts, tool calls, and artifacts in /admin/agents.

  • Ship 44 workspaces

    Each domain has its own focused UI, agents, and customer actions on top of the shared layer — depth where you need it, not a watered-down general assistant.

Most products add AI to a single tool. Neww.ai adds an operating layer across tools.

Domain AI OS in action

Twelve domains. Twelve concrete workflows. One agentic substrate.

Every card below shows what you can do, the agent workflow that drives it, the automation it ships with, the connectors it touches, and the outcome on the other side. Open one. Run it.

Twelve shown here. Thirty-two more workspaces ship behind the same agentic runtime. Roll out as you need them.

Agentic runtime preview

Task → Run → Tool calls → Approval → Artifact → Replay.

One runtime under every domain. Six stages. Every step has a real schema, a real API, and a replayable timeline in /admin/agents.

  1. 01AgentTask

    Task

    A domain workspace emits a task with intent, context, and constraints.

    task.id = task_01HRXY7…
    domain = code-os
    intent = "Audit /admin routes for hydration errors"
  2. 02AgentRun

    Run

    An agent loads workspace memory, picks a tool registry, and starts a long-running run.

    run.id = run_01HRXY7…
    agent = code-repair-agent
    context = workspace-memory + repo-snapshot
    status = "running"
  3. 03AgentToolCall[]

    Tool calls

    Every model action becomes an audited tool call — approved tools only, all arguments + results recorded.

    tool.name = browser.navigate
    tool.args = { "url": "/admin/dashboard" }
    tool.result = { "console_errors": 2, "network_failures": 0 }
  4. 04AgentApproval[]

    Approval

    Risky actions surface a human-in-the-loop gate — auditable and replayable.

    approval.required_for = file_write, db_migration
    approval.requested_at = 2026-05-18 14:32:11
    approval.status = "approved by mo"
  5. 05AgentArtifact[]

    Artifact

    Files, PRs, diffs, queries, and reports are first-class artifacts attached to the run.

    artifact.type = pull_request
    artifact.url = "github.com/neww-ai/web/pull/4421"
    artifact.size = 12 files, +84 / −23
  6. 06/admin/agents

    Admin replay

    Every run, every cost, every prompt, every tool call replayable in /admin/agents — across every domain.

    replay.cost = $0.34 (claude-sonnet-4.6)
    replay.tool_calls = 14
    replay.duration = 2m 03s

Same schema across Code, CRM, Observe, MLOps, Healthcare, and every other domain. One admin replay UI sees them all.

Cross-domain automation

One workflow. Six domains. Zero integration code.

Watch a single inbound lead touch six Domain OS workspaces in one continuous workflow — captured, scored, marketed to, measured, onboarded, and replayable in Admin.

  1. 01

    CRM OS

    Capture the lead

    Inbound form / email / API hit. Lead lands in CRM OS with source attribution.

    Open CRM OS
  2. 02

    Revenue OS

    Score the opportunity

    Scoring agent ranks fit, intent, and likely deal size against shared CRM state.

    Open Revenue OS
  3. 03

    Marketing OS

    Generate follow-up

    Campaign agent drafts a sequence — personalized to the account, ready for approval.

    Open Marketing OS
  4. 04

    Analytics OS

    Track conversion

    PostHog events feed back into the same workspace — no manual UTM stitching.

    Open Analytics OS
  5. 05

    Ops OS

    Create onboarding task

    When the deal closes, Ops OS opens an onboarding task with the agent run history attached.

    Open Ops OS
  6. 06

    Admin

    Replay every step

    Cost, prompts, tool calls, approvals, artifacts — auditable across the whole 6-step flow.

    Open Admin

OutcomeOne workflow, one identity, one memory layer, one bill. Every step replayable.

Build this workflow

Connectors as actions

Wire one connector. Unlock workflows across every domain.

Connectors aren't logo walls. Each one turns a real account into agent-driven workflows across the domains that need it.

  • Email

    Gmail

    Turn inbound emails into CRM tasks, follow-ups, summaries, and support tickets.

    Powers

    • Assistant
    • CRM
    • Marketing
    • Ops
    Connect Gmail
  • Payments

    Stripe

    Turn payments, failed charges, invoices, and subscriptions into revenue workflows.

    Powers

    • Payments
    • Revenue
    • Finance
    Connect Stripe
  • Code

    GitHub

    Turn issues, PRs, commits, and deployments into Code OS audit + QA workflows.

    Powers

    • Code
    • Ops
    • Observe
    Connect GitHub
  • Analytics

    PostHog

    Turn product events into analytics insights and revenue actions.

    Powers

    • Analytics
    • Revenue
    • Marketing
    Connect PostHog
  • CRM

    Salesforce

    Turn accounts, opportunities, and activities into agent-driven follow-ups and forecasts.

    Powers

    • CRM
    • Revenue
    • Marketing
    Connect Salesforce
  • Healthcare

    FHIR

    Turn healthcare records into governed intake, lab review, and audit workflows.

    Powers

    • Healthcare
    • Health
    • Admin
    Connect FHIR
  • Collaboration

    Slack

    Route incidents, approvals, and run artifacts to the right channel with full context.

    Powers

    • Ops
    • Observe
    • ITSM
    • Admin
    Connect Slack
  • Commerce

    Shopify

    Turn orders, returns, and catalog into commerce + revenue workflows with admin replay.

    Powers

    • Commerce
    • Revenue
    • Payments
    Connect Shopify

Add a connector once — every Domain OS workspace gets it. The connector hub at /connectors shows what's wired and what each one unlocks.

Workflow comparison

Same job. Two paths. One produces proof.

Three real workflows, side-by-side: the fragmented vendor path your team runs today versus the Neww.ai Domain OS path that ships with a replayable audit trail.

Ship a feature with proof

Code OS vs fragmented dev stack

OutcomeShip with proof. No human stitching.

Fragmented vendor path

  1. 01Cursor writes code
  2. 02GitHub stores repo
  3. 03Vercel deploys
  4. 04Sentry logs errors
  5. 05Datadog monitors
  6. 06Notion documents
  7. 07Slack coordinates
  8. 08Claude explains
  9. 09A human stitches it all together

Neww.ai Domain OS path

  1. 01Code OS imports the repo
  2. 02Agent audits routes for breakage
  3. 03Browser QA captures console + network errors
  4. 04Agent proposes fix diffs
  5. 05Tests run automatically
  6. 06Deployment-readiness report is generated
  7. 07Observe OS tracks post-deploy issues
  8. 08Admin replays every step

Take a lead from inbox to forecast

CRM + Revenue + Marketing vs point tools

OutcomeRevenue execution, not record-keeping.

Fragmented vendor path

  1. 01Salesforce stores the record
  2. 02Outreach.io sends the email
  3. 03Marketo runs the campaign
  4. 04Tableau visualizes the funnel
  5. 05Clari forecasts the quarter
  6. 06Notion holds the strategy doc
  7. 07Manual exports glue them together

Neww.ai Domain OS path

  1. 01CRM OS captures the lead
  2. 02Revenue OS scores the opportunity
  3. 03Marketing OS generates a follow-up campaign
  4. 04Analytics OS tracks conversion in-context
  5. 05Revenue OS forecasts on shared CRM + payments state
  6. 06Assistant OS summarizes the account for the AE
  7. 07Admin replays every agent step

Resolve a production incident

Observe OS vs Datadog + PagerDuty + Slack

OutcomeFrom alert overload to guided incident resolution.

Fragmented vendor path

  1. 01Datadog fires the alert
  2. 02PagerDuty pages the on-call
  3. 03Engineer opens Grafana to find the trace
  4. 04Engineer opens Sentry for the stack
  5. 05Engineer opens GitHub for the suspect commit
  6. 06Engineer copy-pastes context into Slack
  7. 07Engineer writes the postmortem in Notion

Neww.ai Domain OS path

  1. 01Observe OS detects the spike
  2. 02RCA agent correlates logs, traces, deploys
  3. 03Agent generates an incident summary with likely cause
  4. 04Agent proposes remediation steps
  5. 05Approval gate before any auto-remediation runs
  6. 06Postmortem artifact attached to the run
  7. 07Admin replays the whole timeline

Trust and proof

Built for execution, visibility, and trust.

We treat AI seriously enough to admit when something isn't wired yet. Six operational primitives keep the platform honest as it grows.

  • Status transparency

    Every domain advertises its current product state — Available Workflow, Interactive Demo, Connectable System, Enterprise Setup, or Launch Path. No nav-hiding, no inflated readiness claims.

    Domain status
  • Admin observability

    Every agent run, tool call, approval, cost, and artifact is inspectable in /admin/agents — across every domain on the same schema.

    Open /admin/agents
  • Human approval gates

    Risky actions surface an approval before they execute. Approvals are audited, attributable, and replayable.

    Agentic layer
  • Connector status

    Integrations clearly show connected, needs setup, failed, or unavailable. Setup flows guide users to the next concrete step.

    Connector hub
  • QA evidence

    Launch-critical routes carry browser QA, screenshots, console, and network captures in docs/audits/ — not vibes.

    Per-domain evidence
  • Safe claims

    If a system is not actually wired, the surface says so. Honest-degradation envelopes flag provider keys, gates, and live versus simulated state.

    Provider readiness

Where to start

Start with one workflow. Expand into the full Domain AI OS.

Neww.ai does not require teams to adopt every domain at once. Pick the workflow that hurts most — assistant, search, code, CRM, analytics, payments, observability, MLOps, healthcare, or operations — and expand from there.

The fastest path is simple: pick one domain, launch one agent, connect one workflow, and expand from there.

Neww.ai is where AI stops being a chat window and becomes the operating system for real work.