AI agent platform
An AI agent platform built to finish the work—and show you what to review.
Give ZeroTwo a goal, source material, and constraints. It can organize the steps, use the models and tools available to your account, and return work you can inspect before anything consequential moves forward.
What you provide
Start with the context operators and client-service teams already has
ZeroTwo works best when the source material, desired decision, and review boundary are explicit.
A defined outcome
State the file, decision, analysis, or action the run must produce.
Authorized context
Attach the files and sources the work is allowed to use.
Approval boundaries
Mark the steps that require review before an external action or client handoff.
How the work gets done
Move from source material to a reviewed output
The workflow keeps the evidence, intermediate decisions, and finished files connected instead of scattering them across tabs.
Plan the assignment
Break the outcome into bounded steps with explicit inputs and checks.
Use the right model and tools
Choose from the models, research modes, files, and connectors available to the account.
Pause at approval gates
Inspect consequential facts, calculations, and actions before continuing.
Package the result
Return the work with its assumptions, sources, limitations, and next decision.
Example deliverable
Product interface and evidence policy
The screenshot above is from the real ZeroTwo interface. Downloadable sample files are withheld until their source material, calculations, and claims complete editorial review.
No unreviewed example is presented as customer work. New downloadable proof must include its source inputs, review date, limitations, and output lineage.
No example file published
Available after reviewInside the deliverable
Finish with work another person can review
A useful run ends with a clear artifact, its evidence, and an obvious approval decision.
Work plan
A visible sequence of tasks, dependencies, and review points.
Finished artifact
The requested brief, analysis, campaign, code change, or other reviewable output.
Evidence trail
Sources, assumptions, and checks kept close to the claims they support.
Proof you can inspect
Keep capability claims tied to inspectable product behavior
ZeroTwo can organize multi-step work and use the models and tools available to your account. It does not make weak evidence true or remove the need for human judgment.
Provenance
Source-first context
The workflow starts from files, instructions, and links you supply or explicitly authorize it to research.
Visible product surface
The page uses a real ZeroTwo interface image rather than a fabricated dashboard or stock mockup.
Current plan details
A free plan is available. Current paid prices, model access, and usage limits are maintained on the pricing page because they can change.
Validation
Human approval gates
Review facts, calculations, external actions, and client-facing language before approval or publication.
Claim-to-source checks
Require citations or calculation anchors for statements that affect a decision.
Output inspection
Open the finished file, verify the required sections, and test any links, formulas, or exports before use.
What to expect
Know the operating limits before you start
Available models, connectors, context size, run duration, and usage depend on your plan and the providers used during the run.
- Pricing
- Free and paid plansUse the live pricing page for the current prices, included usage, and account limits.
- Approval
- Human review requiredTreat consequential, regulated, financial, legal, or customer-facing outputs as drafts until a qualified person approves them.
- Reliability
- Verify important outputsModels can misunderstand instructions, miss context, or produce incorrect claims. Keep evidence and checks in the workflow.
Agents are probabilistic and tool access is permissioned. Never allow an unreviewed run to make an irreversible, regulated, financial, or customer-facing decision.
A factual comparison
Choose the workflow shape that matches the assignment
This comparison describes how the work is organized; it is not a benchmark of accuracy, speed, or model quality.
| Criterion | ZeroTwo | Single-model chat | Manual tool stack |
|---|---|---|---|
| Context | Files, instructions, model choice, and tools in one work surface | One conversation and its available attachments | Context distributed across separate apps and folders |
| Workflow | Multi-step work with explicit review points | Prompt-and-response iteration | Operator coordinates every tool and handoff |
| Output | Reviewable response or file linked to its working context | Conversation-first answer | Files assembled by the operator |
Feature availability varies by plan, model provider, connector authorization, and platform. Verify the live product before committing a critical workflow.
Questions before you start
What people ask
What is AI agent platform?
AI agent platform is software for organizing AI-assisted work around a defined outcome. ZeroTwo combines model choice, files, research, tools, and reviewable outputs in one workspace.
Does ZeroTwo replace human review?
No. Use ZeroTwo to prepare and check work, then have the appropriate person approve consequential facts, calculations, recommendations, and external actions.
What does ZeroTwo cost?
ZeroTwo offers a free plan and paid plans. Prices, included usage, model availability, and limits can change, so the live pricing page is the source of truth.
Can I use my own files and business context?
Yes, when the file type and account limits support it. Only upload material you are authorized to use, and remove sensitive fields that the assignment does not require.
Ambition, delivered.
Put AI agent platform to work on one real assignment.
Bring the source material and the finish line. Use ZeroTwo to build the first reviewable version, then approve what ships.
Use this workflow in ZeroTwo