Kurgu Demirhanesi
Roman Yazma Motoru
Kıvılcım
Hikâyenizin özünü tanımlayın. Bir tür, hedef uzunluk seçin ve bir öncül tohumu ekin.
Oyuncu kadrosunun büyüklüğünü ve hikâyenin karmaşıklığını belirler.
Konu şekillendiriliyor...
Karakter Ocağı
Ana kadronu tanımla ve hikâyenin uzunluğuna göre destekleyici orta ve yan karakterlerin oluşturulmasını yapay zekâya bırak.
Ana ve yardımcı karakterler şekillendiriliyor...
Ana Kadro
Yardımcı Kadro (Orta ve Yan)
Dünya Kurucu
Buzdağını inşa et: Yüzey, Sığlar, Derinlik ve Uçurum.
Derinlikleri tesisatını döşüyor...
Mimar
Fraktal Taslak: İskelet halinden tam bölüm vuruşlarına.
İskelet taslak hazırlanıyor...
Cehennem Ocağı
Hayalet yazar döngüsü. Solda taslak, sağda elyazması.
Generating Beat...
Cilt Evi
Kitabınızın kapağını tasarlayın, mükemmel başlığı oluşturun ve yayımlamadan önce arka kapak tanıtım yazısını yazın.
No Cover Art
Painting masterpiece...
Fiction Forge Nasıl Kullanılır
Son teknoloji yapay zekâ roman yazma motoruna hoş geldiniz. Başyapıtınızı oluşturmak için 6 aşamayı izleyin.
Phase 1: The Spark
Türünüzü, kelime sayısını ve öncül fikri tanımlayın. Motor, ilk komutunuza göre dünya hakkında sizi dinamik olarak mülakata alacaktır.
Phase 2: Character Forge
Oyuncu kadrosu boyutları otomatik olarak ölçeklenir. Psikolojik profiller, MBTI özellikleri üretir ve Flux modeliyle görsel portreler çizebiliriz.
Phase 3: Worldbuilder
Dört katmanlı Buzdağı kuramını kullanarak, hikâyenize derinlik kazandırmak için Yüzey, Sığlar, Derin, Uçurum olay örgüsü alt metinlerini oluştururuz.
Phase 4: Architect
Fraktal taslak çıkarma, 7 noktalı bir iskelet haritalar, bölüm sayılarını hesaplar ve hikâyeyi matematiksel olarak mikro vuruşlara böler.
Phase 5: The Forge
Sonsuz hayalet yazar döngüsü. Motor, taslak takipçiniz ve dönen bellek önbelleğinizle beslenerek kesintisiz yazar. Bırakın çalışsın!
Phase 6: The Bindery
Bir başlık, tanıtım metni ve yapay zekâ kapak görseli oluşturun. Son olarak, tüm elyazmasını dinamik olarak baskıya hazır PDF formatında derlemek için Dışa Aktar’a tıklayın.
v1.5 - Ortak Yazar (Orta Kademe) Yeniden Yapılandırması
MATH CALIBRATION: Scaled Mid Tier pacing down from 1,000 words/beat to 800 words/beat (2,500 words per chapter). This aligns perfectly with the natural output limitations of rapid models like Haiku and Flash, eliminating prose padding and rambling.
CLAUDE HAIKU PROMOTION: DeepSeek V3 was still handling structural logic for the Mid Tier, risking the same timeouts. Claude 3.5 Haiku has been promoted to the primary structural brain for Mid Tier due to its lightning-fast reasoning and low cost.
v1.4 - Gemini Flash Tanıtımı
MATH CALIBRATION: Adjusted Premium tier chapter calculations to estimate 3,400 words per chapter. This corrects a pacing bug where the engine would over-generate text (giving you 180k words on a 150k word target).
WORKER BEE SWAP: DeepSeek V3 was suffering from severe API latency and timeouts under high load. Gemini 2.5 Flash has been promoted to the primary prose-generating worker bee to drastically improve generation speed and eliminate loop interruptions.
v1.3 - Yönetmen / İşçi Arı Mimarisi
DEEPSEEK INTEGRATION: Re-architected the Masterwork tier to split brain functions. Expensive, high-logic "Director" models (like Gemini 3.1 Pro) handle planning, world-building, and macro-structuring. The heavy lifting of raw prose generation is now dynamically outsourced to ultra-efficient "Worker Bee" models like DeepSeek V3.
MASSIVE COST REDUCTION: By combining this model-routing split with the Rolling Context Window, Masterwork prose generation costs have plummeted to roughly 18-26 credits per beat—saving approximately 93% (1/15th the cost) compared to previous legacy generations that forced premium models for all tasks.
v1.2 - Başyapıt LLM Optimizasyonu
HARDWIRED LLM ROUTING: Premium Tier explicitly routes Logic/World building to Gemini 3.1 Pro Preview and Prose/Characters to Claude 4.6 Sonnet for maximum literary quality. Mid-Tier balances cost and speed using DeepSeek V3 and Claude 3.5 Haiku.
ROLLING CONTEXT WINDOW (ANTI-SNOWBALL): To prevent exponential token bloat, the Forge Engine restricts the injection of previous prose to exactly 800 words. Combined with the Master Outline and Cache, inputs are strictly capped around ~1,450 tokens. This guarantees a flat-rate cost structure per beat.
FRACTAL BEAT SCALING: Output instructions adapt dynamically to the AI Tier. Premium forces 4 beats per chapter at ~700 words each (highly detailed, sensory prose). Mid-Tier forces 3 beats per chapter at ~1,000 words each (plot-driven, utilitarian pacing).
TOKEN & CREDIT ECONOMICS: A full 50,000-word novel scales predictably:
• Premium (Sonnet): 18 chapters / 72 beats. ~20 credits/beat. Total cost: ~1,440 credits.
• Mid-Tier (Haiku/DeepSeek): 17 chapters / 51 beats. ~7 credits/beat. Total cost: ~357 credits.
v1.1 - Gutenberg Baskı Güncellemesi
NATIVE DARK MODE PDF: Added explicit rendering toggles to bypass default browser print settings, enabling true dark mode PDFs with #121212 backgrounds and #e0e0e0 text.
MANUSCRIPT REFLOW: Refactored text parsing engine to discard pre-wrap logic and dynamically wrap newlines into semantic HTML paragraphs with text-indent and justification. Resolves ragged edges on mobile PDF viewers.
ANTI-RASTERIZATION: Stripped all CSS filters and backdrop-blurs during the print compilation phase to prevent mobile browsers from treating text as low-res screenshot images.
v1.0 - Başyapıt Mimarisi
STATE & STORAGE: Migrated from standard localStorage (1MB cloud limit) to IndexedDB for manuscript payloads. This allows up to ~500,000+ words to be cached locally without triggering quota limits, while the structural metadata (outlines/characters) syncs to the cloud. Library architecture uses 'Active' and 'Basement' logic for cold storage.
LLM ROUTING: Dynamic EngineManager dynamically routes tasks. Draft Tier strictly hits free models (GPT-4o Mini, Gemini, Llama 3). Co-Writer Tier routes logic/prose to DeepSeek V3 and Claude 3.5 Haiku. Masterwork Tier leverages GPT-5 and Claude Opus capabilities. Advanced JSON regex extraction claws recover broken model responses.
PHASE 1 (SPARK): Procedural contextual generation. Options feed recursively back into a deep-dive questionnaire engine to exponentially expand worldbuilding lore.
PHASE 2 (CHARACTERS): Math-based algorithmic scaling. Target wordcount dictates cast size (e.g. >50k words spawns up to 13 unique characters). Deep profile mapping via MBTI traits, interconnected motivations, and native image generation calls via Flux via MiniappsAI.
PHASE 3 (WORLDBUILDER): Thematic scaffolding using the 4-tier Iceberg Theory (Surface, Shallows, Deep, Abyss) to force models to account for subtext during prose generation.
PHASE 4 (ARCHITECT): True fractal outlining. Creates a 7-point skeleton -> Estimates total chapters via (TargetWords / 3000) -> Batches chapter chunks to the LLM to write granular micro-beats. It maintains a rolling [CACHE] state (Location/Time/Status) passing forward to preserve agent memory.
PHASE 5 (FORGE): Infinite Ghostwriter Async Loop. Injects previous 800 words + current cache + specific beat text into prompt. Uses dynamic tier-based chunking (e.g., Free tier generates micro 300-word sections, Masterwork generates massive 1500-word blocks). Implements continuity-editor boundary-smoothing for fragmented models.
PHASE 6 (BINDERY): Auto-generates final metadata (blurb/title/cover). Injects data into DOM and replaces standard HTML tree with native print-CSS classes (break-before: page, text-indent, orphans/widows management) bypassing standard render limits directly into browser PDF engine.