Workspace
A real workspace flow instead of an abstract demo
Model choice, execution controls, privacy blocking, and spend estimation all read as one product surface.
Product
The dashboard for choosing, delegating, and verifying across AI models.
LogK is organized around the real user workflow for multi-model AI: select the stack, estimate the cost, dispatch across providers, then compare or verify the outcome.
Select Choose one model or many
Pick a single model for speed, or a multi-model stack for comparison, aggregation, and task-specific coverage.
Estimate See expected credits before run
Make price visible up front so users can decide whether broader delegation is worth it for the task.
Delegate Dispatch across providers
Send the request through one system while LogK handles provider choice, central tracking, and workflow structure.
Verify Follow up when needed
Trigger verifier passes, compare outputs, and produce one trusted final answer instead of stopping at first response.
Pricing
Usage and spend presented as product UI
Pricing should feel like an operating surface, not a detached spreadsheet, so credit-based billing becomes easier to trust.
Model board for intelligent selection
LogK turns model choice into a clear product surface with cards, presets, recommendations, and spend visibility, rather than forcing users to remember vendor-specific behavior.
Cost-aware delegation
Credit estimates and centralized billing make it practical to fan out across multiple models without losing visibility into spend.
Answer aggregation and disagreement handling
LogK compares outputs, identifies disagreement, and lets users choose between direct comparison or aggregated synthesis.
Privacy and policy controls
Sensitive inputs can be blocked, redacted, or routed according to policy before they ever leave the product.
Flow
A product story that users understand in seconds.
Strong startup sites show the workflow clearly. LogK should communicate the loop quickly: choose models, see price, delegate, verify, decide.
01
Write the question once
Start with a single prompt, task, or file set that needs the best available answer.
02
Select the model stack
Choose one or many models manually, or accept LogK's recommendation for the current task.
03
Run delegation with controls
Preview credits, apply privacy blocking, and dispatch through one coordinated system.
04
Inspect and verify the result
Compare outputs, run follow-up verification, and finish with one answer you can actually trust.
Next step
Use this as the product destination linked from the homepage hero.
For a real company site, this page can grow into pricing, privacy guarantees, model coverage, and enterprise workflow details without overloading the homepage.