Idea intake
Drop a thought by voice, text, or a link. It's captured, understood, and filed as a tracked build candidate — nothing gets lost.
Describe what you want to build — by voice or text. An agentic product-and-engineering org plans it, architects it, writes it, tests it, and ships it. You review and steer at every gate. You never touch a config file.
You move forward only when you approve. Each gate produces something real you can open, click, and pressure-test — not a slide about what might happen next.
Talk through the problem in plain language. WizClaw turns the conversation into a scoped plan, acceptance criteria, and a build spec you can read and correct before a line of code exists.
A working prototype you can actually use — real flows, real data, deployed to a private preview. Built for showing investors, testing with users, and deciding what's worth hardening.
When you're ready, the same system is hardened, tested, and shipped: monitoring, CI, and continuous improvement running underneath. It keeps getting better after launch.
Not a single chatbot writing code. A coordinated set of specialist agents, each owning a real function — handed off in sequence, kept in line by controls you set.
Turns a loose idea into requirements, edge cases, and acceptance tests — so everything downstream is building toward something defined.
Chooses the stack, shapes the data model, and lays out services with the trade-offs written down, not buried.
Writes the application against the spec — modules, APIs, integrations — committing work you can inspect at any point.
Runs the suite, reproduces bugs, and fixes them. Nothing advances a gate until it passes the checks that were agreed up front.
Provisions, deploys, and health-checks — then watches production and feeds regressions back into the loop.
You bring the vision and the judgment. WizClaw runs everything between the idea and the live product — always on, pulling in input from wherever it shows up: a voice memo, a message, a call you were on this morning.
Drop a thought by voice, text, or a link. It's captured, understood, and filed as a tracked build candidate — nothing gets lost.
Point it at a call. It transcribes, pulls out the decisions and asks, and turns the messy conversation into a scoped spec.
Loose intent becomes requirements, acceptance tests, and a build plan you can read, question, and correct.
Specialist agents get scheduled, handed off, and supervised — the system manages the team so you don't have to.
Plug in your own Claude Code or Codex subscription. WizClaw is the OS; you own the engine, the usage, and the cost.
After launch it keeps watching production, catches regressions, and feeds fixes back into the build on its own.
We're operators who built companies, took them through exit, and spent the years since living inside frontier AI. WizClaw is the system we wished we'd had — and licensing it puts both our playbook and our agents on your side.
Direct access to operators who've built, scaled, and exited real companies — reviewing the hard calls, shaping the product thinking, and making sure the agents are pointed at the right thing.
An agentic system that plans, builds, tests, and ships without waiting to be told each step — running the work between your gates so progress continues around the clock.
Focused engagements for teams building new AI products, hardening existing prototypes, or introducing controlled coding-agent workflows.
Turn a product conversation into tested, deployed, observable software.
Explore capability →Replace demo confidence with evaluation, security, release controls, and evidence.
Explore capability →Coordinate specialist agents around one shared product outcome.
Explore capability →Put powerful coding engines behind stable context, tests, and review gates.
Explore capability →Keep workloads, data, secrets, and operations inside a dedicated boundary.
Explore capability →Place real human judgment at consequential decisions without slowing routine work.
Explore capability →Practical, sourced thinking on agent architecture, quality, control, and the path from a convincing demo to a system you can trust in production.
A practical decision framework for matching autonomy to the uncertainty in the work.
Read field note →Specialization helps when the work truly decomposes. Coordination is the price you pay.
Read field note →Where approval creates leverage—and where it only creates ceremony.
Read field note →Turn “it usually works” into a measurable quality bar that survives model and product changes.
Read field note →Authentication is not isolation. Understand the architectural boundary your data depends on.
Read field note →Every customer runs on a single-tenant deployment — a dedicated, isolated environment. No shared compute, no shared storage, no pooled data. Your ideas, your code, and your builds never touch another customer's.
A dedicated instance per customer — not a seat inside a shared platform. Isolation is the baseline, not an upgrade.
Your ideas, transcripts, and source never train shared models or mix into a common pool. It lives in your environment and leaves when you do.
Deploy inside your own VPC or private cloud so builds and data stay entirely within your perimeter and controls.
SSO, scoped roles, and a full audit trail of every action — you decide who can see and approve what.
WizClaw is licensed per operator — a flat, predictable cost for the orchestration layer. You connect your own coding engine, so you stay in control of your model, your usage, and your bill.
Bring the problem you've been meaning to build a solution for. Leave with something running.