Higher-Order Functions in Python
Based on SICP by Abelson and Sussman
Inspect the narrated deck, transcript, runnable lab, source attribution, production dates, and the limits of what the published artifact records.
Open sourceThe technical visual engine is open for inspection.Straightedge generates deterministic, machine-checkable SVG diagrams and Manim animations.View on GitHub ↗Published demonstration
Technical courseware production
Accurate teaching material, made from your sources.
We turn textbooks, notes, and technical documentation into reviewable lessons with structured slides, synchronized narration, captions, and traceable provenance.
For publishers, institutions, and technical training teams.
From source to artifact
Teaching material that can be inspected, not merely generated
The work begins with named source material and ends with coherent, reviewable assets—not an unexplained AI output.
Ground the structure and explanation in the supplied textbook, notes, or technical documentation.
Produce coordinated lesson assets: structured slides, technical visuals, narration, captions, and optional coding labs.
Publish the result with source attribution, production evidence, and explicit limits on what the artifact can prove.
Published work
Finished courseware you can inspect
These existing courses remain online as a portfolio of generated decks, narration, technical notation, labs, and artifact provenance.
Linear Algebra for AI
A technical sequence of vectors, transformations, eigenvectors, and decompositions with typeset mathematics and narrated decks.
Narrated technical lesson series
Meta System Design Interview
A long-form technical series combining a consistent answer framework with worked designs for ranking, storage, messaging, and live video.
Long-form worked-design series
Structure and Interpretation of Computer Programs
A source-attributed Python adaptation with narrated decks, environment diagrams, and a runnable lab in every lesson.
Narrated lessons · Runnable labs
Production evidence
Judge the work from the artifact itself
Source attribution stays attached to the published courseware, so the basis of the explanation is visible.
Artifact provenance records lesson and deck counts, slide ranges, generation dates, narration coverage, and speaker configuration.
Missing evidence stays visible. Engine builds, model choices, and review verdicts are not implied when published files do not record them.
Open source
Straightedge — the diagram engine behind the visuals
A technical explanation is only as good as its picture. Straightedge generates deterministic, machine-checkable SVG figures and Manim animations from structured input rather than from a model’s guess, so a diagram can be regenerated and verified instead of eyeballed.
We build it, we publish it, and our own production pipeline depends on it. MIT licensed, Python 3.10 and up.
Start a conversation
Tell us about your source material
A short description is enough. We will follow up to understand the audience, deliverables, and review requirements.
Have technical source material that needs to teach clearly?
Show us the material and the audience. We can discuss the most credible finished artifact for the job.