Automate publishing
Fiction, STEM textbooks, and bilingual courses—director-to-reviewer agent tiers produce book-length output with parallel writers and retry-aware completion.
AI automation · Education · Agentic systems
Automating everything—including education
Domino Data Systems
AI agent systems that automate publishing, learning, and knowledge work—from novels and textbooks to full language courses and the workflows behind them.
Our theme
Automating everything—including education
When each agent tier completes its work, the next domino falls—drafting, reviewing, exercising, and answering at scale without sacrificing coherence.
One domino triggers the next. We build hierarchical AI agents that turn manual creative and educational pipelines into repeatable, local-first automation—so humans steer vision while machines draft, review, and scale.
Automate education
Curriculum outlines, lesson sections, typed drills, and model answer keys— language courses with vocabulary tables, exercises, and reviewer gates built in.
Automate operations
Custom orchestration, benchmarks, and on-prem inference stacks for teams that need agentic automation without cloud lock-in.
PublishingEducationLanguage coursesLocal LLMsReview tiers
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See Domino Data Systems in motion
A quick introduction to our mission—automating publishing, education, and knowledge work with hierarchical AI agents.
Offerings
Products and research that automate publishing and education—from agent-orchestrated books to curriculum pipelines—built as composable, local-first AI on GitHub Pages.
ProductFeatured
Yankovinator
AI-powered parody generator with syllable matching, rhyme schemes, semantic coherence, and local LLM generation via Ollama—so songs become themed parodies that keep the original rhythm and style.
Parody generationLocal LLMCreative AI
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Bible Verse Bee
Test your knowledge of Bible verses in an interactive quiz game—start a round, tune settings, and climb the top scores leaderboard.
EducationQuiz gameScripture
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Prompt Bee
Guess the Prompt—an interactive challenge game built around a curated corpus of AI prompts. Tune settings, play rounds from the hive menu, and sharpen prompt literacy by reverse-engineering what instruction produced each output.
Prompt literacyQuiz gameAI education
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Passage2Quizzes
Turn any reading passage into quizzes automatically—on-device Llama 3.2 via Ollama keeps generation local so curriculum teams can draft assessment items without sending content to the public internet.
Education automationQuiz generationLocal LLM
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Agentic Parallel Book Writer
Automate end-to-end book production—fiction novels, STEM textbooks, and bilingual language courses—with hierarchical agents that plan, write, review, and generate exercises plus answer keys on local LLMs.
- Book modes
- 3
- Max tiers
- 6
Education automationMulti-agentLocal LLM
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Automated Education Pipelines
AI-native curriculum generation—outlines, lessons, drills (fill-in-the-blank, multiple choice, matching), and separate reviewer tiers—so instructional design scales like software deployment.
- Drill types
- 4+
- Review tiers
- 6
TextbooksLanguage coursesDrills & keys
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Conjunctive Snipper
Indexes spoken media into pause, sentence, word, and syllable clips, then composes requested sequences with an inverted index that prefers unused takes and ranks reuse by usage—research product with an industrial-track paper; packaged binary shipping when the release is ready.
- Clip tiers
- 4
- Status
- Research
Video indexingSpeech mediaIndustrial research
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Research & Publications
Industrial-track papers and benchmark galleries documenting how agentic automation performs on real book-length and education workloads.
PapersBenchmarksAI automation
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Custom Agentic Systems
Design automation for your domain—education platforms, publishing houses, or regulated ops—with orchestration, evaluation harnesses, and on-prem inference.
ConsultingOn-premFull-stack automation
Learn moreResearch papers
Industrial research on automating long-form publishing and education— papers, benchmarks, and public showcases that prove agent tiers can replace manual drafting at scale.
Industrial research track · 2026
Agentic Parallel Book Writing
Education automationMulti-agentLocal LLM
Hierarchical multi-agent automation for fiction, textbooks, and language education— director-through-reviewer tiers, parallel scene writers, exercise generators, and retry-aware completion that treats publishing and teaching as one automatable pipeline.
- Automated ~300-page novel drafts via 4-tier fiction pipeline
- 6-tier textbook & language modes with exercises and answer keys
- Education automation: vocabulary tables, drills, and reviewer gates
- Benchmarked on Apple M2 Ultra with pooled writer throughput
Leadership
Shyamal Suhana Chandra
Sole Technical Founder
Building Domino Data Systems around a single conviction: automate everything worth repeating—including how we teach, learn, and publish. From hierarchical multi-agent book generation to evaluation harnesses for local LLM pools, the goal is composable AI that ships as research-grade public showcases.
shyamalschandra.github.io