Managed web task automation workspace

Reduce manual browsing and reporting effort while keeping a named owner in control of every consequential action. For operations and data teams that repeatedly collect and report on web-based information, convert permitted target sites, task instructions, credentials and output schemas into reviewed, scheduled web task runs with structured extracts and reports. The benefit is a testable hypothesis, measured through accepted task runs per operator hour and corrections after delivery; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted target sites, task instructions, credentials and output schemas, then follow this sequence: 1. Accept natural language task commands. 2. Navigate permitted websites autonomously. 3. Extract and structure page data. Resolve uncertain cases with qualified reviewers, approve reviewed, scheduled web task runs with structured extracts and reports, and measure accepted task runs per operator hour and corrections after delivery against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved site list and output schema; final data-use and publication checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, extraction accuracy and usage permissions. Named owners approve substantive changes and publication scope. One approved site list and output schema; final data-use and publication checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved site list and output schema; final data-use and publication checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: accept natural language task commands; navigate permitted websites autonomously. Support the third module with operator review: extract and structure page data. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Google Sheets, Notion, customer-owned API keys and permitted target sites. Cloud storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Task brief and target sites, Editable run preview, Client proof and delivery. Use a thumbnail gallery for tasks, a large central run canvas, and a right-hand panel for sources, constraints and comments. Let users compare runs side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant extract row. Make the task-specific outcome reviewed, scheduled web task runs with structured extracts and reports visible beside its evidence, review state and value baseline.