How TechEniac built a generative AI course platform reducing 40-hour authoring to under 2 hours. Bloom's Taxonomy alignment, adaptive assessments, SCORM export. 18 B2B customers in 3 months.
The founder brought 15 years of instructional design expertise the kind that comes from designing learning programs for Fortune 500 companies, education platforms, and corporate training departments. She understood the craft of course creation: pedagogical theory, Bloom's Taxonomy, assessment design, learning objective sequencing. But she also understood the business problem: creating eLearning content was taking an unreasonable amount of time, and L&D teams didn't have the budget or headcount to meet demand. As companies shifted to hybrid and remote work, the need for digital training courses exploded. Her vision was to build AI that didn't replace instructional designers it made them 20x more productive, compressing 40 hours of manual work into 2 hours of AI-assisted creation.
Industry standards indicate that producing one hour of eLearning content typically requires 20–30 hours of development effort. The founder identified three compounding challenges that make this process increasingly unsustainable:
Instructional designers spend hours manually structuring courses, creating lessons, assessments, materials, and SCORM packages. Much of this time goes into repetitive tasks instead of the work that truly matters: designing effective learning experiences and meaningful content.
As eLearning demand grew, L&D teams had to create and update more courses with limited resources. At 40 hours of work per hour of content, scaling training became difficult without sacrificing quality or increasing costs.
Existing course tools often produced SCORM packages that failed on client LMS platforms. Differences across Moodle, Cornerstone, and SAP SuccessFactors caused tracking and reporting issues, forcing L&D teams to spend hours fixing imports instead of improving course quality.
Input a topic brief or upload a syllabus; receive a complete, structured course ready for production in under 2 hours.
Generate complete course structure (modules, lesson sequencing, prerequisites, learning objectives) with human approval before content generation begins.
Produce slide decks, speaker notes, learner handouts, and multiple assessment formats (MCQs, scenario-based, drag-and-drop, short-answer) all Bloom's Taxonomy aligned.
Export valid SCORM 1.2 and 2004 packages tested to work across Moodle, Cornerstone, and SAP SuccessFactors.
Never show instructional designers low-quality assessment distractors filter AI output before delivery.
The AI Curriculum Architecture Engine turns a topic brief or existing syllabus into a structured, ready-to-build course. GPT-4o-mini analyzes the subject, identifies key competencies, and creates the module structure, lessons, prerequisites, and learning objectives. An instructional designer can review and adjust the structure before content generation begins.
The Parallel Content Generation Engine creates all course materials simultaneously, including slides, speaker notes, and learner handouts. This reduces generation time significantly while maintaining a consistent tone, vocabulary, and style across the entire course. The system also checks content density and automatically simplifies or splits lessons when needed.
The Adaptive Assessment Generator creates different types of questions, including MCQs, workplace scenarios, sequencing activities, and short answers. Each question is mapped to a learning objective and Bloom’s Taxonomy level. An AI evaluator checks question quality and automatically regenerates weak questions before they reach the course creator.
The SCORM Generator packages the complete course into SCORM 1.2 or 2004 formats, including content, media, assessments, and LMS communication scripts. An automated validator tests the package against major LMS platforms and identifies compatibility issues before download, adding only 2–3 minutes to the export process.
SCORM Compliance Across LMS Platforms
Built automated validation suite using SCORM Cloud API that tests every generated package across all three platforms before download. If a package fails validation on any platform, the system identifies the specific issue and regenerates only the problematic component, not the entire course. Outcome: every exported package is guaranteed to work on target LMS platforms; L&D teams stopped hearing "the course didn't load properly."
Assessment Distractor Quality
Implemented independent GPT-4o evaluator that assesses each MCQ's distractor quality on three dimensions: plausibility (represents genuine misconception?), discrimination (one clearly correct answer?), and alignment (tests stated learning objective?). Questions scoring below threshold are automatically regenerated before course creator sees them. Roughly 20% of initial questions are regenerated through this loop. Outcome: achieved 4.3/5 expert panel rating for assessment quality instructional designers endorsed the output.
Cross-Module Content Consistency
Generated a course-level style brief from the first module, capturing vocabulary, tone, formality level, and key terminology. This style brief is injected as shared context into every parallel generation task. Outcome: entire course reads as if one author wrote it even though 32 content pieces generated simultaneously. The output is consistent in voice and terminology across all modules.
Authoring Time Reduction
1 hour of eLearning content created in under 2 hours vs. 40–50 hours industry standard.
MVP Delivery
Full SCORM export, LMS validation, and assessment filtering delivered in under 5 months.
Content Quality Rating
Expert-rated output scored 4.3/5, requiring only minor adjustments.
B2B Customers in 6 Months
Organizations onboarded within 6 months, driving referrals and organic growth.
Assessment Formats
Four question formats aligned with Bloom’s Taxonomy and quality-checked before delivery.
LMS Compatibility
Every export validated across Moodle, Cornerstone, and SAP SuccessFactors.
AI / ML
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SCORM
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