Co-Founder Search Open · Beta Q3 2026

The structural intelligence layer for professional writing.

AI for sentences exists. AI for structure doesn't. That's the gap AISES is built to close.

Read the co-founder role → See the comparison

Market Size · 2026 → 2029

$0.0B → $0B

Co-Founder Equity

Meaningful

Commensurate with contribution & risk

Writing Formats

Novel

Co-Founder Ramp

Flexible

Part-time start · pace tied to readiness

The Role

The hard engineering starts here.

The product vision is documented and the build is underway. What comes next is domain-adaptive AI that understands the difference between a legal brief, a screenplay, and a dissertation. That's not a feature request. That's a company-defining problem, and we're looking for the person who wants to solve it.

Complete

Technical blueprint

Live

Interactive prototype

• Now

MVP build

PRIORITY HIRE

Actively Recruiting

CTO / Technical Co-Founder

Apply for this role →

What you'd own

→ Domain auto-detection from raw text — distinguishing a legal brief from a dissertation from a screenplay before any explicit signal

→ Multi-model orchestration with a shared structural intelligence core, not five disconnected products

→ Rejection-learning pipeline that adapts to each writer's voice without explicit feedback signals

→ Cross-document memory architecture that compounds intelligence across a user's full history

→ Bias review as a parallel audit layer across six intersectional dimensions, architected from day one

→ Production infrastructure, model strategy, and engineering team build-out — every major technical decision

What we're looking for

You've shipped production AI systems — not just trained models, but taken them to real users. What matters most is that you've gone from idea to product. You see a gap this size and think about the system you'd design to fill it.

Production AI / ML NLP / LLM Fine-Tuning Systems Architecture Shipped Products

Terms

Equity Meaningful co-founder equity. Standard 4-year vest, 1-year cliff. No pre-committed split — specific terms direct.

Commitment Part-time start · full-time tied to mutual readiness, not a deadline

Location US-based preferred · remote-friendly · founder in NY

The Platform

Six capabilities.
No other platform
has all of them.

Each one addresses a problem that existing writing tools have ignored entirely. Not incremental improvements — a different category of tool. From spatial manuscript mapping to AI that lives inside the document and learns how each writer works, these capabilities form the structural intelligence layer that no platform in the market has attempted to build.

AI Corkboard

The entire manuscript, mapped spatially. Every chapter becomes a card. Every structural beat is visible at once. Writers see the architecture of what they’ve written before touching a single word — and finally know if structure is the actual problem.

See the Architecture

II.

Ghost Editor

An AI collaborator that lives inside the document — not a chatbot the user pastes text into. It reads the full manuscript, understands the structural arc, and when a section isn’t working, drafts three alternatives to choose from. The writer’s voice stays theirs. For collaborative projects, it maintains separate voice profiles per author and includes configurable AI contribution disclosure.

Lives Inside the Document

III.

Bias-Reviewed

Every AI suggestion passes through an independent intersectional audit layer — checking for cultural, linguistic, and representational fairness across six dimensions, including where identity categories intersect. Built into the architecture from day one. No current writing tool is designed this way.

Bias detection assists human review and does not guarantee bias-free content.

Built In, Not Bolted On

IV.

Rejection Learning

AISES is designed to learn how each writer writes. When a user consistently ignores a suggestion — because the “flaw” it’s flagging is actually their style — the system stops flagging it. No settings to configure. The tool adapts to the writer’s voice, not the other way around.

Adapts to the Writer

Cross-Document Intelligence Enterprise

Every document knows the user’s history. A law firm’s new brief checks against prior briefs on the same matter. A series novelist’s Book 2 knows every fact established in Book 1. The intelligence compounds over time — becoming institutional knowledge that lives nowhere else.

Compounding Intelligence

VI.

Adversarial Review

Before submission, Ghost Editor attacks the writer’s own work — responding as a hostile reader who wants to put the book down, a literary agent looking for reasons to pass, or opposing counsel finding the weakest argument. No other writing tool does this.

Stress-Test Before Submission

Why AISES

Other tools touch structure.
None make it the architecture.

AISES sits above sentence-level tools like Grammarly and Word — they live at a different layer. The real competitive set is the small group of tools writers actually consider when they need to work on the shape of a manuscript: Scrivener, Plottr, Fictionary, Sudowrite, and general-purpose AI. Here's how AISES compares on the dimensions that matter for structural editing.

AISES features reflect the designed architecture. The product is in active development.

Capability	Scrivener	Plottr	Fictionary	Sudowrite	ChatGPT / Claude	AISES
AI text generation	✗ No	✗ No	~ Limited revision suggestions	✓ Core feature	✓ Core feature	✓ Ghost Editor — contextual, in-document drafting
Document structure map	~ Manual corkboard	~ Manual planning board	~ Story-arc visualization	~ Story Bible (manual)	✗ No	✓ AI Corkboard — auto-generated from manuscript
Arc & pacing analysis	✗ No	~ Template-based (Save the Cat, etc.)	✓ 38 story elements, scene-by-scene	~ Beats feature	~ Via long prompt	✓ Ghost Editor — AI structural diagnosis on the live draft
AI voice adaptation	✗ No	✗ No	✗ No	✗ No	~ Basic memory	✓ Rejection learning — adapts to each writer's style
Multi-timeline visualization	✗ No	✓ Strong (its core)	✗ Single-timeline focus	✗ No	✗ No	✓ Core to memoir & dual-timeline fiction, integrated with structural analysis
Domain auto-detection	✗ Creative only	✗ Fiction/screenwriting only	✗ Fiction only	✗ Fiction only	✗ Generic, no specialization	✓ 5 domains — auto-detected on upload
Bias-reviewed suggestions	✗ No	✗ No	✗ No	✗ No	✗ No	✓ 6-dimension intersectional audit
Works across Google Docs, Notion, Word	✗ Standalone app	✗ Standalone app	~ DOCX import only	~ Web only	~ Via copy-paste	✓ Cross-platform by design
EU AI Act compliance	~ N/A — no AI	~ N/A — no AI	✗ Not confirmed	✗ Not confirmed	~ Partial	✓ Architected from day one
Cross-document intelligence	✗ No	✗ No	✗ Single-manuscript	✗ No	✗ No	✓ Document history informs every new doc
Adversarial review mode	✗ No	✗ No	✗ No	✗ No	~ Via prompt only	✓ Ghost Editor — hostile reader, agent, or opposing counsel
Role-based team AI	✗ No	✗ No	~ Editor/author collab	✗ No	✗ No	✓ Author / Editor / Reviewer / SME / Compliance — 5 roles + custom (Enterprise)
AI contribution audit	✗ No	✗ No	✗ No	✗ No	✗ No	✓ Every suggestion tracked — % AI-assisted, % human

The Bigger Picture

Creative writing is where
we start. It’s not where we stop.

Creative is the beachhead — highest structural complexity, clearest unmet need, strongest community signal. The same engine expands to academic, business, technical, and legal writing in later rounds. One structural intelligence core, format-adaptive across all five. That single-engine commitment is the moat — and the engineering challenge the co-founder owns.

Development Roadmap

✓ Blueprint

Technical blueprint, 12-format creative writing architecture

Complete

✓ Prototype

Interactive prototype live

Complete

MVP Build

Self-funded development underway

Now

Beta & Users

Closed beta with writers, collect usage data, iterate on feedback

Q3 2026

Seed Round

$5M @ $20M post — engineering team, creative-writing domain training, model fine-tuning. Opens post-MVP, post-CTO onboarding.

Q4 2026

Series A

Multi-format traction, revenue, expand to all 5 domains

2027–28

Launch · Beachhead

Creative Writing

12 formats: fantasy, mystery, romance, science fiction, literary fiction, historical fiction, thriller/horror, young adult, middle grade, short fiction, memoir, and creative nonfiction. Narrative structure detection, character intelligence, pacing analysis, and format-specific tools — from clue placement in mystery to relationship arcs in romance to truth-contract integrity in memoir.

Series A · Expansion

Academic Writing

Research papers, dissertations, grant proposals. Citation management across APA, MLA, Chicago, and IEEE. Argument structure analysis, methodology verification, and auto-formatting for 100 priority journal templates.

Series A · Expansion

Technical Writing

API documentation, engineering specs, user manuals. Procedure verification with step-by-step logic flow, standards compliance for ISO/IEEE/ANSI, version control integration, and automated changelog generation.

Series B · Enterprise

Business Writing

Proposals, reports, executive communications. Tone calibration across formality levels, audience-appropriate register, persuasion enhancement with argument weakness detection, and compliance flagging for GDPR, HIPAA, and SOX.

Series B · Enterprise

Legal Writing

Contracts, briefs, motions, compliance documents. Jurisdiction-specific compliance across federal, state, and local law. Bluebook citation verification, precedent discovery, contract clause analysis, and missing clause detection.

Founder

Shara Lopossa

Writer · Visual Artist · AISES Founder

New York

I got lost in my own manuscript —
so I designed the way out.

I spent years writing Daughter of Lunacy, a memoir about growing up alongside my mother’s mental illness, told across two timelines. I knew the story intimately — every scene, every line, every decision I made and second-guessed. And still, I couldn’t see it. Not the shape, not the structure, not how it all held together.

When you’re deep inside your own writing, working line by line, the overall architecture begins to disappear. That loss of perspective becomes even more pronounced when you’re weaving multiple timelines into a single narrative. You can feel when something isn’t working, but you can’t always see why.

So I tried to force visibility in every way I could.

Every tool made me faster. Not one helped me see.

I printed the manuscript and rearranged the scenes across the floor. I hired editors whose revisions reshaped the story in ways that weren’t mine. I turned to AI tools that could only see fragments, returning insights that never connected.

I kept running into the same limitation: every solution could operate at the sentence or section level, but none could show me the structure of the work as a whole. They could improve the writing line by line, but they couldn’t tell me if the document itself was structurally working.

I needed a way to see that structure clearly and dynamically, without losing control of my own voice. So I built it.

AISES is a system that maps, visualizes, and analyzes the structure of an entire document — not in fragments, but as a complete, living architecture. It is not built to rewrite the work or replace the writer’s judgment, but to surface the structural layer that is otherwise difficult to see.

I started by solving the problem for myself, creating a way to make the structure of a full manuscript visible. Then I expanded that thinking across academic, business, technical, and legal writing, recognizing that while the content changes, the underlying challenge remains the same.

All writing has structure. But structure has never had its own tool.

AISES is built to make that structure visible — for the first time.

FAQ

For co-founder candidates

Why is creative writing the beachhead? +

Creative writers have the highest structural complexity, clearest unmet need, and strongest community networks. The architecture is built for all five domains; the creative beachhead provides the training signal, user base, and proof of concept that unlock enterprise expansion — the co-founder's domain to lead.

What's the funding plan after MVP? +

Phase 0 first (bootstrapped — see commitment model), then four priced rounds to IPO:

Seed (Month 0 · $5M): Opens post-MVP and post-CTO onboarding. Engineering team, creative-writing domain training, model fine-tuning.

Series A (Month 18 · $15M): Expand to all five domains, enterprise pilots, collaboration features.

Series B and C follow at Months 30 and 48. Total: $140M across four priced rounds.

What's the competitive moat? +

Six, from the blueprint:
(1) Domain training data — 50M labeled documents across five domains; 18–30 months and $2–4M for competitors to replicate.
(2) Technical architecture — LoRA adapters + neural-symbolic reasoning + six-dimension bias detection; 9 patents planned at seed close.
(3) Enterprise switching costs — $50K–$500K per customer; 88%+ target retention.
(4) Network effects — more users → more training signal → better accuracy.
(5) Ghost Editor + AI Corkboard — UI paradigms with no equivalent in any competing product.
(6) Accuracy-assurance positioning in legal/academic — sold as risk management, not productivity. Different buying center, price point, contract length.

How do equity and IP work? +

Both negotiated with counsel — not pre-committed in this document.

Equity: Meaningful co-founder stake. No pre-committed split; structure modeled with an attorney and negotiated based on contribution, risk, and timing of entry. Reserved for founding-level risk, not consultants billing market rate.

IP: All company IP is owned by AISES at incorporation. Standard assignment for co-founder contributions; specifics signed with counsel.

What's the commitment model? +

Both founders bootstrap part-time through Phase 0 (Months −6 to 0). Equity is the only compensation; no priced round. Build infrastructure is co-funded by both founders.

First 90+ days can be part-time or consulting to validate chemistry and shared vision. Full-time and cash compensation begin together at seed close (Month 0). The blueprint allows up to 6 months for the recruit; a fractional CTO bridge is available if it takes longer. AISES is my primary commitment.

What's the current stage, in one line? +

Blueprint complete · interactive prototype live · corkboard MVP in active development · bootstrapped through Phase 0 · co-founder search open.

The structural intelligence layer for professional writing.

The hard engineering starts here.

Six capabilities.No other platformhas all of them.

Other tools touch structure.None make it the architecture.

Creative writing is wherewe start. It’s not where we stop.

I got lost in my own manuscript —so I designed the way out.

Six capabilities.
No other platform
has all of them.

Other tools touch structure.
None make it the architecture.

Creative writing is where
we start. It’s not where we stop.

I got lost in my own manuscript —
so I designed the way out.