---
title: "Louis-François Bouchard"
category: "people"
role: "CTO & Co-Founder"
company: "Towards AI"
linkedin: "https://www.linkedin.com/in/whats-ai/"
twitter: "https://x.com/Whats_AI"
website: "https://www.louisbouchard.ai/"
blog: "https://www.louisbouchard.ai/"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Louis-François Bouchard

## Profile
CTO & Co-Founder at [[towards-ai|Towards AI]].

- [LinkedIn](https://www.linkedin.com/in/whats-ai/)
- [X / Twitter](https://x.com/Whats_AI)
- [Website](https://www.louisbouchard.ai/)
- [Blog](https://www.louisbouchard.ai/)

## Biography
Louis-François Bouchard is the co-founder of [[towards-ai|Towards AI]], where he builds and teaches a practical toolkit for shipping reliable LLM products. He co-authored Building LLMs for Production, a hands-on guide to prompting, fine-tuning, retrieval augmented generation, and evaluation. Through [[towards-ai|Towards AI]] Academy, he has launched multiple in-depth courses for AI engineers, designed to turn developers into AI professionals who can transform prototypes into scalable, customer-ready systems. He also runs the What’s AI YouTube channel and newsletter, translating new research and best practices into clear engineering playbooks for 70K+ subscribers and tens of thousands of readers. Today, he partners with founders and organizations on AI strategy, training design, and production workflows that raise accuracy, reduce risk, and make generative AI useful for paying customers, and he speaks at events such as AIE, Uphill Conf.

## Conference Sessions
- [[2026-06-29-louis-fran-ois-bouchard-context-engineering-in-2026-compaction-memory-and-cost]] — Context Engineering in 2026: Compaction, Memory & Cost (2026-06-29, 2:20pm-4:20pm)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-29-louis-fran-ois-bouchard-context-engineering-in-2026-compaction-memory-and-cost|Context Engineering in 2026: Compaction, Memory & Cost]]

### Media Signals
- `youtube-I2cbIws9j10` — 91,792 transcript words; 7 slide-derived text signals
- Transcript signals for `youtube-I2cbIws9j10`: code, model, back, system, well, first, today, even.
- Slide-derived themes for `youtube-I2cbIws9j10`: context, window, selects, response, facts, retry, coerce, rollback.
- Evidence links for `youtube-I2cbIws9j10`: [[youtube-I2cbIws9j10]], [[youtube-I2cbIws9j10-transcript]], [[youtube-I2cbIws9j10-slides]], [[youtube-I2cbIws9j10-dense-slides]]
- `youtube-ZRM_TfEZcIo` — 9 slide-derived text signals
- Slide-derived themes for `youtube-ZRM_TfEZcIo`: obsidian, google, plus, notion, drive, growing, files, month.
- Evidence links for `youtube-ZRM_TfEZcIo`: [[youtube-ZRM_TfEZcIo]], [[youtube-ZRM_TfEZcIo-slides]], [[youtube-ZRM_TfEZcIo-dense-slides]], [[youtube-ZRM_TfEZcIo-reconstructed-slides]]

## Livestream Appearances
- [[2026-06-29-louis-fran-ois-bouchard-context-engineering-in-2026-compaction-memory-and-cost|Context Engineering in 2026: Compaction, Memory & Cost]] — [watch at 02:11:16](https://www.youtube.com/watch?v=I2cbIws9j10&t=7876s) in WF26: Harness Engineering & Startup Battlefield (Day 3).