No human rewrites your work. Every review step is run by a coordinated AI agent.
Intake, scoping, review, quality assurance, and delivery are owned by named agents that share a single canonical memory document for each manuscript — under standards set and audited by a board of Ph.D. advisors. The agents do the reviewing; the humans define and police the rules they're held to.
From upload to publication-quality package — autonomous execution, no manual hand-off.
Every step below is executed by a named agent. Every transition is durable. Every output passes a QA gate before it ever reaches a candidate.
- 01
Manuscript uploaded
PDF or DOCX is received over an encrypted channel, hashed, and registered in the job ledger.
- 02
Lead Intake Agent
Captures degree level, paper type, deadline, formatting style, professor feedback, and stated concerns.
- 03
Project Scoping & Routing
Scores academic complexity, classifies the paper, and selects the precise validation path and priority tier.
- 04
Orchestrator Agent
Assigns reviewing agents, maintains the shared memory document, and drives deterministic state transitions.
- 05
Validation in parallel
Professional Editor and Research Support Agents validate the manuscript independently and post explicit, verifiable findings.
- 06
Shared memory merge
Findings are deduplicated, ranked by severity, and merged into a single canonical revision document.
- 07
QA & Final Approval
Intelligent multi-step verification, scored submission readiness, and rejection of any review that is not actionable.
- 08
Final scholarly package
Executive summary, annotated document, APA report, citation verification, and a downloadable revision package.
- 09
Automatic delivery
The student is notified in a calm, scholarly voice with their report, scores, and recommended next steps.
Ten specialised review agents. One coordinated pass.
- 01
Lead Intake Agent
coreCaptures degree level, paper type, deadline, formatting style, professor feedback, and stated concerns the moment a document is uploaded.
Student onboarding · Requirement gathering · Intake automation
- 02
Project Scoping & Routing Agent
coreDetermines academic complexity, paper category, service package, and the precise review path each manuscript should travel.
Complexity scoring · Project categorization · Workflow routing
- 03
Orchestrator Agent
coreCoordinates every reviewing agent through shared memory, workflow state, and event triggers — operating the platform without human intervention.
Central workflow orchestration · Shared memory coordination · Agent communication
- 04
Professional Editor Agent
reviewRefines scholarly tone, clarity, and cadence — producing edits that read as a thoughtful human reviewer would write them.
Grammar correction · Scholarly tone refinement · Sentence restructuring
- 05
Research Support Agent
reviewEvaluates the depth, synthesis, and thematic coherence of literature reviews and flags gaps in the scholarly conversation.
Literature review analysis · Citation review · Research synthesis
- 06
Dissertation Research Intelligence Agent
reviewAn autonomous scholarly research intelligence engine that discovers, verifies, organises, and synthesises peer-reviewed academic literature aligned with APA 7 and dissertation research standards.
Peer-reviewed source discovery · Source verification across Semantic Scholar, PubMed, Crossref, OpenAlex, ERIC, CORE, DOAJ · Theoretical framework mapping
- 07
Pricing & Payment Agent
operationsOwns the Stripe-backed billing lifecycle for one-time review purchases — checkout, receipts, and refunds — without manual reconciliation.
Stripe checkout automation · One-time payment processing · Receipt and refund handling
- 08
QA & Final Approval Agent
reviewAudits every deliverable for formatting consistency, scholarly tone, and submission readiness before autonomous release.
Final quality assurance · Formatting consistency · Submission readiness scoring
- 09
Client Support Agent
operationsHandles every student question — onboarding, status, revisions, and account — in a calm, scholarly voice, around the clock.
Autonomous support chat · Ticket handling · User communication
- 10
SEO & Growth Optimization Agent
growthContinuously expands organic and AI-search visibility across Google, ChatGPT, and Gemini surfaces.
SEO optimization · Blog generation · Organic search growth
- 11
Survey Completion Bot
operationsCloses the loop after every deliverable — collecting structured satisfaction data that feeds retention models.
User feedback collection · Satisfaction scoring · Retention analytics
Publication-quality output — every finding sourced and verifiable.
Every output passes intelligent multi-step verification before it reaches you — designed to reduce human error and improve scholarly accuracy from the first finding to the final delivery email.
- Explicit, verbatim findings
- Every comment references the exact passage with page, section, and severity — verifiable, never vague.
- Human-grade prose
- Editing recommendations are written to read as a senior consultant would write them. Generic AI patterns are explicitly suppressed by the QA agent.
- Scholarly register
- Tone is calibrated for committees, chairs, and peer reviewers — not generic SaaS friendliness.
- No ghostwriting
- Scholaria validates, edits, and guides. It does not author your dissertation. That is the architectural first principle.
- Reproducible scores
- Submission readiness and tone scores are decomposed so you can see what would move the number — precision and consistency over opaque metrics.
- Audit trail
- Every agent invocation, finding, and revision is durable, replayable, and exportable — defensible to your committee.