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Elkwai Solutions
Your models. Your systems. Repeatable evidence.

AI developer tools

Find the check for the work in front of you: verify feed freshness, inspect agent actions, extract fields, route documents, evaluate search or compare an integration. Keep your own AI provider and systems.

Match these checks to six business workflow playbooks, compare practical alternatives and prepare a focused project brief.

What are you working on?

15 practical workflows. Free entry points; no account or model connection required.

Check data feeds / FREE ENTRY

Check the data feeding your business and AI workflows

Separate stale content, collection delay, missing feeds, incomplete counts and unknown measurements at an explicit cutoff.

500 expected feeds; supplied metadata, not live monitoring; free offline CLI

Check integrations / FREE ENTRY

Test the tool access your AI workflow should have

Compare expected allow, deny and approval-required cases with explicit role, scope and environment rules. Inspect reasons and untested tools.

500 cases; local policy simulation, not live authorization; free offline CLI

Check integrations / FREE ENTRY

Check the actions an AI workflow actually recorded

Compare serial tool calls with intended steps. Keep unlisted tools, failed retries, pending calls and missing budget telemetry visible.

500 cases; serial recorded calls; free offline CLI

Measure AI quality / FREE ENTRY

Check whether extracted document fields are correct

Compare reviewed invoice, order and form values with recorded extractions. Separate wrong values, omissions, absences, missing runs and unruled keys.

500 records; flat scalar fields; free offline CLI

Measure AI quality / FREE ENTRY

Check document and ticket routing

Compare reference labels with recorded decisions. Inspect per-class precision, recall, F1, confusion counts, missing runs and abstentions.

500 cases; single-label; no model calls

Measure AI quality / FREE ENTRY

Find the evidence your document search misses

Compare judged document IDs with ranked retrieval. Separate missing queries, partial recall, no-answer tests and cohort results.

500 queries; ranked IDs, not document text

Measure AI quality / FREE ENTRY

Compare releases by quality, uncertainty and cost

Match stable case IDs. Review exact paired tests, pass-rate intervals, cohort corrections, individual regressions and recorded cost or latency.

500 cases per run; statistical assumptions are not verified

Measure AI quality / FREE ENTRY

Test structured outputs against explicit expectations

Check exact values, schemas, supplied evidence quotes and recorded budgets. Missing results stay visible.

Free browser: 5 cases; Kit: 100 cases

Check integrations / FREE ENTRY

Check whether a retry created a duplicate action

Analyze recorded delivery attempts and business-effect counts. Separate acknowledgement from completion and unknown telemetry.

Browser and free offline Node CLI; no live replay

Check integrations / FREE ENTRY

Review an MCP contract before changing it

Compare complete before/after tool catalogs by name. Review removals, required arguments, outputs and behavioral hints.

Static review; not runtime authorization

Check integrations / FREE ENTRY

Validate payloads and inspect API changes

Review OpenAPI, JSON Schema and payload changes with JSON-pointer findings, explicit severity and exportable evidence.

Free browser checks; separate licensed automation

Plan and prepare / FREE ENTRY

Inspect a fine-tuning dataset before a run

Check JSONL training-record structure and missing fields before spending time on a training job.

Structure checks, not training quality

Plan and prepare / FREE ENTRY

Extract labeled PDF and image fields locally

Extract PDF text or English OCR, match explicit labels and review conflicting candidates before exporting records.

Free: one document, two pages; $79 offline edition separate

Plan and prepare / FREE ENTRY

Estimate local AI model memory

Compare model-size and quantization assumptions before choosing local hardware. Verify real runtime requirements separately.

Assumption-based estimate, not a device benchmark

Plan and prepare / FREE ENTRY

Calculate a workflow automation trade-off

Use explicit effort, volume and operating assumptions to compare an automation plan with the work it replaces.

Your assumptions; not guaranteed savings

Choose how much help you need

Free diagnostics, reusable software and implementation are separate offers
Your needWhat you getNext step
Inspect a recorded resultFree browser checks with explicit input limits and measurement boundaries. No account or model calls.Choose a free workflow
Extract labeled documents locallyDocument Desk: free one-document workspace or $79 one-time offline edition for PDF text, English OCR, exact labels and reviewed batch export.Review Document Desk and license
Automate development checks$79 one-time Developer Assurance Kit: offline browser, CLI, SDK, CI and five local MCP tools.Review the Kit and license
Implement a business workflowA separately quoted project with agreed connectors, milestones, evaluation and operating handoff.Discuss a scoped pilot

The free feed-health, tool-policy, run-comparison, retrieval, classification, extraction, agent trace and webhook analyzers are separate and free; they are not included as MCP tools in Kit 1.1.0. Document Desk and the Kit are separate licenses; neither includes every tool on this site. Model, hosting and custom integration costs are not included in either $79 one-time price.

Review real project examples, inspect pilot delivery scope or browse the full tool library.

A practical release loop

  1. Preserve the baseline. Keep reference cases, judgments, model or rule versions, source revisions and contract snapshots in your own project.
  2. Change one thing. Replay the same cases and retain failures, retries, abstentions and missing results.
  3. Inspect the failure types. Look at individual cases, classes and cohorts before deciding whether a headline score improved the actual workflow.
  4. Retain the evidence. Export the source-hashed report with run settings. Reports may include confidential field values, IDs and labels; review before sharing.