One platform. Every step from research to export.
Aura handles research, drafting, humanization, and quality scoring automatically. You review, approve, and publish.
Two layers, one system
Aura runs your workflows. Aura Models power each step.
Aura
- Plans each step and executes them in order, picking up where it left off
- Carries your sources, brand preferences, and past work across every session
- Connects to your tools as needed (Slack, Google Docs, web search)
- Scores its own output and improves with each subsequent run
- Keeps every action inside your project settings with a full audit trail
Aura Models
- Specialized AI profiles built for each task type
- Separate profiles for humanizing, drafting, researching, brand voice, and scoring
- Automatic fallback when a provider degrades
- Trained and tuned by NeuraWrite, getting better with each production run
- You never pick a model. Aura routes to the right profile automatically.
How Aura works
From your brief to a finished document, Aura handles each step.
Decide
Aura plans the next step. It chooses which Aura Model to call, which connector to use, and what to retrieve from memory.
Execute
Aura executes each step — calls the model, invokes the tool, updates the document, captures the result. Every action is observable.
Show its work
Aura surfaces what it did at each checkpoint. You see sources pulled, drafts written, and scores run as they happen, not after the fact.
Remember
Aura persists context, sources, brand books, and prior decisions. Every workflow inherits everything Aura has learned about your work.
Adapt
When a provider degrades or a connector fails, Aura falls back automatically and explains the change. Workflows don’t break.
Govern
Every call stays inside your project policies, guardrails, and audit log. Intelligent and accountable.
Aura Models
One name. One brand. A model for every job.
Aura Models is the multi-model intelligence layer Aura draws on. You never pick a model. Aura routes every step to the profile best suited for it, with deterministic fallbacks.
Humanize
Rewrites for clarity and natural voice, scored against common detectors before export.
Humanize
liveRewrite AI- or stiff-sounding drafts into natural, academic-quality prose.
Use this when you need drafts to read like a skilled human wrote them, especially student papers, reports, and long-form assignments. Aura Humanize runs a NeuraWrite-orchestrated pipeline (structure, vocabulary, voice, validation) so output is not locked to a single model fingerprint. Technical stages are summarized under Pipeline in Studio; day-to-day users just pick Humanize and choose strength in the product.
Humanize 2
previewNext-generation humanize profile, training on real approved edits from production.
Preview successor to Humanize 1. While the new fine-tune is finishing training, traffic may use a fast evaluation backbone under the same Aura humanize prompts. When the pair threshold is met, weights swap with no change to how you use the product.
Academic
Rigorous long-form drafting with citation discipline.
Academic
liveLong-form drafting that respects structure, discipline tone, and your sources.
Best for theses, journal-style sections, methods, literature reviews, and formal RFP language. Aura Academic uses a high-quality long-context backbone with NeuraWrite academic-voice prompts: it preserves citation markers, keeps section intent stable, and avoids casual or marketing tone where it does not belong.
Research
Web-grounded synthesis with claim-checking.
Research
liveGrounded answers with live web search, your knowledge base, and cited sources.
Pulls fresh context from the web, merges in your uploaded or connected knowledge base, and synthesizes a single response with explicit source links. A claim-check pass flags weakly-supported statements so you can tighten wording before publishing.
Brand Voice
Style-guide adherence on every word you ship.
Brand Voice
liveOn-brand copy that follows your brand book, banned phrases, and tone rules.
Loads your active NeuraWrite brand book (voice, terminology, words to avoid, examples) into every request. Uses a low-temperature drafting profile so marketing, support, and social copy stay consistent without sounding generic.
Detect
In-house pre-predictor for AI-detection scoring.
Score
roadmapFast, cheap pre-check for AI-detection risk before you run full scans.
Roadmap: a small NeuraWrite classifier trained on labeled text vs. detector scores. When live, it will estimate risk so we only call expensive external detectors on borderline drafts, saving time and credits on obvious human-like output.
A typical run
What Aura actually does on a typical run.
What Aura does
- Finding sourcesWorking
Searches the web and your library, then removes duplicates.
- Checking citations
Confirms every source is real and retrievable before it is used.
- Drafting
Writes each section from your approved outline and verified sources.
- Humanizing
Rewrites for natural voice and clarity while keeping your meaning.
- Scoring
Checks the draft against common AI detectors and retries if needed.
- Ready to export
A polished .docx with citations, ready to deliver.
What Aura doesn’t do
- Ask you which model to use.
- Show raw provider names (“Claude” / “Llama”) in the UI.
- Make you copy-paste between tools.
- Forget what you set up last week.
- Break when one provider has an outage.
Roadmap
Coming next.
Aura Humanize 2
A retrain on real production data. Better scores across tested detectors.
Aura Score
Our own AI-detection scorer. Faster results on high-confidence passes.
Aura Public API + MCP
REST and MCP server so customers can call Aura from inside their own agentic stacks.
Don’t buy a chatbot.
Buy a system that ships work.
Aura is what drives every NeuraWrite workflow. Talk to us about running it on your content, with your tools, and inside your governance requirements.