Generation quality
Build a stronger starting point.
Prompt architecture, Voice & Style, Brand Knowledge, format instructions, and provider controls shape what gets generated.
Quality Grading · The quality gate inside your AI content workflow
AI content needs a quality gate.
Generate better. Verify the result. Understand what needs work. Approve stronger content faster.
Vocalis grades generated Text, Images and Carousels before review and publishing workflows—with explainable signals and human control.
Text, image, and carouselExplainable strengths and issuesHuman approval stays in control
Example evaluation
Synthetic content · no customer data
Quality signal
84Good
Hybrid analysis
Standard confidence
The quality loop
Generation creates the asset. Evaluation helps you decide what happens next.
Vocalis separates quality-aware creation from a review step on the finished output, then keeps the final decision with you.
- 01
Brief / source
Start with the intent and available context.
- 02
Quality-aware generation
Use prompt architecture, Voice, Brand grounding, and provider controls.
- 03
Text / image / carousel
Create the finished asset in its actual format.
- 04
Quality Grading
Run a separate deterministic and, when eligible, semantic or visual evaluation.
- 05
Explain the result
See the score, strengths, issues, and next action.
- 06
Human decision
Improve, approve, or publish while you stay in control.
Two layers, one workflow
Generate with context. Evaluate the finished work.
The two layers solve different problems and may use different checks without implying identical providers or identical output quality.
Independent quality evaluation
Inspect what was actually produced.
Deterministic and eligible semantic or visual checks review the finished asset and expose method, confidence, strengths, issues, and actions.
Format-aware evaluation
Text, Image, and Carousel each get the review they need.
Quality is more useful when the signals match the asset. Dimensions and weighting can vary by format and available context.
84 · Good
Text
Spot generic language, weak hooks, platform mismatch, factuality risk, and context-dependent Voice or Brand drift.
SpecificityClarityOriginalityPlatform fitHookCTA appropriatenessFactuality riskVoice alignmentBrand grounding
91 · Strong
Image
Go beyond file dimensions and metadata to review the rendered creative, its readability, composition, crop, and defects.
Render integrityLegibilityCompositionContrastCropBrief relevanceBrand alignmentVisual defects
79 · Good
Carousel
Review the story across slides, the role of each frame, density, legibility, final CTA, mean quality, and the weakest slide.
NarrativeSlide rolesMean scoreWorst slideText densityFinal CTA
Carousel deep dive
One weak slide can pull down the whole carousel.
Vocalis reviews narrative progression and individual slide roles, then keeps the mean and worst-slide result visible. A broken slide can cap the overall result instead of disappearing inside an average.
Mean quality
79 · Good
Worst slide
72 · Fair
1/586
Hook
The content gap after generation
Good
2/582
Context
Why a polished asset can still miss
Good
3/572
Evidence
Too much proof in one slide
Fair
4/580
Takeaway
Separate creation from evaluation
Good
5/576
CTA
Make the next step specific
Fair
Explainability
A score you can act on.
Every result is designed to show why the grade exists and what to do next—without turning the score into a performance promise.
Editor review
Synthetic example · Version 04
Score + grade
84 · Good
Method
Hybrid analysis
Confidence
Standard
Strength
Clear opening
Issue
CTA too generic
Action
Name the reader’s next step
Calibrated bands
Exceptional95–100
Strong88–94
Good78–87
Fair68–77
Weak50–67
Broken0–49
Bands are calibrated quality signals, not performance guarantees.
Voice + Brand + Quality
Three systems answer three different questions.
Context makes evaluation more useful, while the page stays clear about which layer does what.
Fail-visible safety
When the source cannot support a valid output, silence is not the fallback.
When the source cannot support a valid output, Vocalis is designed to fail visibly rather than invent filler.
Unsupported-claim safeguards
Factuality is treated as a risk signal and grounded context—not a claim that every statement is verified true.
Visible fallback
When advanced grading is unavailable, the supported deterministic method and limited confidence remain visible.
Provider portability
Vocalis prompt and quality architecture is designed to work across supported providers; output quality can still differ.
Review notifications
Know what deserves attention before you open the Editor.
Quality summaries can reach configured in-app, email, WhatsApp, and Telegram channels, then point reviewers back to the asset.
Availability depends on workspace notification configuration and preferences.
Quality review ready
Synthetic workspace example
Clear opening. The CTA needs a more specific next step.
In-appEmailWhatsAppTelegram
Open the review workflow Trust + privacy
Useful signals, visible limits.
Quality Grading helps you review. You remain in control of approve, improve, and publish decisions.
Method transparency
Results identify method and confidence so advanced and fallback paths are not presented as equivalent.
Human control
A grade supports review; it does not approve, publish, or predict audience response for you.
Payload minimization
Grading payloads are bounded to the asset and context required for the selected evaluation path.
Provider privacy
No model improvement is configured where validated; provider handling and retention can vary by supported path.
Included in your plan
A quality gate without a separate quality bill.
Quality Grading is included in your Vocalis plan. There is no pay-per-grade charge or customer quality overage.
Starter
Core quality checks
Explainable deterministic signals with visible fallback behavior.
Creator
Advanced quality analysis + richer creation controls
Expanded analysis with Voice and Brand context when available.
Agency
Highest quality-analysis and workflow allowance
Advanced model and workspace capabilities for higher-volume operations.
Quality FAQ
Clear answers before you rely on the score.
The same qualified answers below are represented in the page’s structured data.
How is quality scored?
Vocalis applies format-appropriate deterministic checks and, when the plan, policy, provider availability, and internal safeguards allow it, semantic or visual analysis. The result shows the method and confidence used.
What assets are graded?
Current Quality Grading covers text, images, and carousels. Each format uses relevant signals rather than identical weights or one generic checklist.
Does grading use AI?
Some eligible evaluations use semantic or visual model analysis; others use deterministic checks. Vocalis identifies the method instead of presenting every result as equivalent.
Is the score a performance guarantee?
No. A score is a calibrated review signal, not a guarantee of reach, conversion, virality, factual truth, or audience response. Human approval remains in control.
Does Quality Grading cost extra?
Quality Grading is included in your Vocalis plan. There is no separate quality charge, pay-per-grade price, or quality overage bill.
Which plans include advanced analysis?
Starter includes core quality checks. Creator adds advanced analysis and richer creation controls. Agency provides the highest quality-analysis and workflow allowance. Advanced paths still depend on format, policy, and availability.
What happens if advanced grading is unavailable?
Vocalis falls back to supported deterministic checks and exposes the limited method and confidence. It does not silently invent an equivalent advanced result.
Does Vocalis use Voice & Style and Brand Knowledge?
When the relevant workspace context is available, Voice alignment and Brand grounding can contribute to the evaluation. Those dimensions are not implied when context is absent.
Does Vocalis train on my data?
Vocalis minimizes grading payloads and uses provider controls intended to prevent model improvement where that behavior has been validated. Provider handling and retention can vary by configured path; see Privacy and Trust for the current terms.
Is Video graded today?
No. Current Quality Grading covers text, images, and carousels. Uploaded video can participate in publishing workflows, but Video grading is not presented as live.
Put a quality gate between generation and publishing.
Create with context, inspect the finished asset, and keep the final decision in human hands.