For Founders & Builders
Get a team'sworth of workdone.Solo.
Tell it the job in plain English. Xorviex figures out what agents it needs, writes their code, builds the team, and gets it done — no manual agent-building, no planning phase, just results checked by an independent AI supervisor.
No Agents to Build. No Plan to Write.
One real job.
Start to finish.
Most agent tools still make you define each agent by hand — its role, its prompt, its tools — before anything runs. Xorviex skips that step. You describe the job, not a plan. Here is exactly what happens next.
You type
"Find 50 SaaS companies that raised a Series A in the last 30 days, and draft a personalized cold email to each."
In ~90 seconds
Xorviex spawns 3 agents: a Data Scraper, a Personalized Copywriter, and an Email Delivery agent — each with its own generated code.
Before anything ships
An independent Supervisor AI reviews every output against your goal and scores it 0–5 before it lands in your dashboard.
~6 minutes later
50 enriched leads and 50 personalized email drafts, ready to review and send. No agent was built by hand, no plan was written first.
How It Works
Three steps.
Nothing to configure.
The Same Job, Live
Describe the job.
We build the team.
This is the lead-gen job above, as it actually runs: Xorviex reads what you described, decides how many agents it needs, and generates working code for each one. You never define a role, write a prompt, or plan the steps yourself.
Meta-Spawned · Intelligence
Data Scraper Agent
Current Objective
Awaiting compile…
Spawning Pipeline
Queued for Spawn
Meta-Spawned · Creative
Personalized Copywriter
Current Objective
Awaiting compile…
Spawning Pipeline
Queued for Spawn
Meta-Spawned · Infrastructure
Email Delivery Agent
Current Objective
Awaiting compile…
Spawning Pipeline
Queued for Spawn
Self-Healing Engine · Agent Run Monitor
Watching your missions 00:00:00 · 0 incidents auto-resolved this session
All services nominal. Xorviex is watching error rates, latency, and logs in real time.
The first incident will surface here shortly.
Production Resilience
It finds the bug
before you do.
Xorviex watches every agent it runs. The moment one breaks, it's fingerprinted, patched, and re-verified by the Supervisor — no ticket required.
Built Per Mission
We Build The Tools
Agents Run On.
Every agent ships with a custom-built toolkit — forged for its exact mission, no drag-and-drop required.
Synthesizing Tool
web_intelligence_scraper.py
Web Intelligence Scraper
Turns any page or API into clean, structured data.
Synthesizing Tool
api_bridge_compiler.py
API Bridge Compiler
Wires authenticated connectors to third-party platforms automatically.
Synthesizing Tool
brand_dna_injector.py
Brand DNA Injector
Keeps every output on-voice, on-brand, automatically.
Synthesizing Tool
async_task_queue.py
Async Task Queue
Runs parallel workloads with retries built in.
Synthesizing Tool
structured_output_parser.py
Structured Output Parser
Turns raw LLM output into validated, typed data.
Synthesizing Tool
secure_credential_vault.py
Secure Credential Vault
Encrypted keys, decrypted only at the moment of use.
The Xorviex Difference
No pre-built connector library. Xorviex synthesizes the exact tool each agent needs, for the mission in flight.
Connected, Not Configured
Already Wired
Into Your Tools.
One-click from your dashboard, encrypted at rest, handed only to the agent that needs it.

Slack

GitHub

Notion

Google Workspace

Asana

Salesforce

Ayrshare
Every Credential, Locked Down
Encrypted at rest, decrypted only at the moment of use — never the whole workspace at once.
A Second AI Checks the Work
Nothing Ships
Unchecked.
Execution and auditing are separate agents. Every output is independently verified before it ever reaches reality.
Supervisor Audit
LiveOutreach Copywriter
6,000-user acquisition sequence
Outreach Copywriter
6,000-user acquisition sequence
Market Intel Agent
Competitor pricing summary
Market Intel Agent
Competitor pricing summary
Company Intelligence Layer
Teach it once.
It never forgets.
Workspace Memory is your company's permanent operating context inside Xorviex. Define your brand voice, company facts, audience, and compliance rules once — and every Claude call across every mission, agent, and supervisor receives that context automatically.
No prompt engineering. No agent re-briefing. No off-brand outputs. Your rules enforced at the infrastructure level — not the prompt level.
Write your company profile once
Name, one-liner, mission, target audience, brand voice, and links — plain language, no templates required.
Set your non-negotiable rules
Compliance constraints, tone guardrails, off-limits topics. Toggle any rule per campaign without touching the underlying agents.
Every agent follows them automatically
Memory is injected into mission planning, code generation, supervision, and Command Chat without any extra input from you.
Workspace Memory
ActiveCompany
Acme Corp — B2B SaaS for operations teams
Voice
Direct, data-driven. Bold but never arrogant.
Audience
CTOs & ops leads at 50–500 person SaaS companies
Workspace Rules
Never mention competitor names directly
All pricing qualified as 'starting from'
Use Oxford comma in all copy
Injected Into Every Claude Call
Core Capabilities
What You
Actually Get.
No Agents to Configure. Just the Goal.
Forget defining each agent's role and prompt by hand. Type your goal in one sentence — Xorviex plans the steps and executes them for you.
It Builds Its Own Team
Xorviex reads your objective, decides how many agents the job actually needs, and generates working Python code for each one — no fixed role list, no template.
A Second AI Checks Every Output
A separate Supervisor AI — not the agent that did the work — reviews and scores every result before it reaches your dashboard, so nothing unverified reaches the real world.
One Person, Full Team Output
From scraping raw leads to shipping code fixes or content, Xorviex runs multi-step work end-to-end without you assembling a team or planning the steps yourself.
Use Cases Across Every Domain
One Platform.
Every Department.
Outbound Sales
Scrape ICP profiles, write personalized sequences, execute delivery. Fully autonomous.
Content at Scale
Brief → research agent → writer agent → publisher agent. One command, 30 articles.
Market Intelligence
Monitor competitor moves, aggregate signals, brief your team every morning. Hands-free.
Code Operations
Spawn QA agents, generate tests, auto-fix regressions. Ships faster than any human team.
Customer Ops
Triage support tickets, draft responses, escalate anomalies. Zero queue buildup.
Investor Relations
Track portfolio KPIs, generate LP updates, flag anomalies before they become problems.
Structural Advantage
Not a Feature Update.
A Different Category.
Measured against using a general AI chatbot on its own, not against workflow builders — this is the gap between a chat reply and a finished job.
Agent Operations Center
Type a command.
Watch it happen.
Type a plain-language instruction and watch Xorviex update your agent team live — spawning, pausing, or shutting agents down as you direct it.
Loading demo…
Setting up a sample conversation
Active Roster
Live SyncIntelligence
Data Scraper Agent
System Status
Compiled & Hardwired
Creative
Personalized Copywriter
System Status
Compiled & Hardwired
Common Questions
Every Answer.
No Ambiguity.
A general AI chat assistant is excellent at generating an answer inside a chat window — then it stops. You're still the one pasting that answer into Slack, writing the follow-up code, or sending the email yourself, and the next chat starts from zero. Xorviex takes the same objective and finishes the job: it decides how many agents the work needs, generates and runs real code for each one, executes directly against your actual tools, and routes every result through an independent Supervisor AI before it reaches you. Workspace Memory also means it remembers your company — voice, audience, rules — across every future mission, so you're never re-explaining context in a new chat.
Those tools require you to manually define every node, connection, and trigger. Xorviex takes a plain objective and automatically architects the entire execution layer — agents, APIs, and sequencing — from scratch. There is nothing to build.
One OU represents one atomic task executed by an autonomous agent — a scrape, a write, an API call, a validation pass. Complex missions consume many OUs in parallel, metered against your plan's monthly allotment. Going over never hard-stops a mission mid-execution — it's billed at your plan's overage rate.
Every agent output — text, data, API payload — is routed through an independent Supervisor model before it reaches any external system. The Supervisor judges the output on its own merits, not the agent's reasoning trace, so it audits objectively. If it detects brand-voice mismatches, factual anomalies, or policy violations, it rejects the output and queues a regeneration cycle.
Every agent run, continuously. Crashes are fingerprinted and deduplicated, and each agent's code is checked against its mission goal for drift. When something breaks, Xorviex classifies the failure, regenerates the agent's code, and runs the new output past the Supervisor before it ships. For a connected GitHub repo, a dedicated agent can clone it, patch failing tests in an isolated sandbox, and open a pull request for review — it never auto-merges to your default branch.
Yes — connect your own Anthropic API key from Integrations and it kicks in automatically as overflow the moment your workspace's OU quota runs out, so missions never stall waiting on a plan upgrade. The Meta-Agent orchestration layer and Supervisor stay Xorviex-managed either way.
No. All mission data, Workspace Memory, and agent outputs are isolated per workspace and are never used for model training. Enterprise customers receive full data processing agreements.
Take the Command Seat
Stop Building.
Start Directing.
Every day you spend hand-building agents is a day your competitor's team is already running. Describe the job once, and get a team that executes it today.
5-minute initialization. Full compliance data structures protected. Cancel anytime.