About
An independent monitor for Canadian AI signals
Tracking policy, research, industry, labour-market, infrastructure, and public-interest developments across Canada from public sources and curated reference datasets.
Project coverage
A scan layer, not a final authority
The site turns public-source monitoring into daily briefs, topic pages, data maps, and research surfaces while keeping primary evidence linked.
- Source groups
- 11
- Public surfaces
- 7+
- Refresh model
- Daily + 4h
- Evidence rule
- Linked
active public source groups in the registry
digest, dashboard, topics, blog, adoption, data centres, sources
full refresh plus lighter enrichment cycles
important claims point back to primary or named sources
How to read this project
The site is a scan layer: it helps readers see what is moving, then points back to checkable evidence.
- 1Monitor public signals
The site watches public feeds, registries, datasets, and manually reviewed reference surfaces.
Source registry - 2Separate evidence types
Official data, survey evidence, live news, curated references, and review queues are labelled differently.
Sources and methodology pages - 3Publish readable surfaces
Digest, dashboard, adoption, data-centre, topic, blog, source, and methodology pages each carry the evidence in a different format.
Public route inventory - 4Keep limits attached
Source captions, limitation notes, and primary links remain part of the user-facing product.
Site disclosure and evidence patterns
Where the evidence enters
A compact source matrix helps explain the site without a long source-list first.
Project overview
AI Canada Pulse is an open-source intelligence monitor for Canadian AI activity. The site combines live public feeds, government and research data, economic indicators, curated reference datasets, and cached AI-assisted summaries.
It publishes a daily digest, live dashboard, topic pages, deep-dive posts, an AI Adoption Compass, a Canadian data-centre map, and a reviewed archive of government AI quotes.
It is designed as a scan layer, not a final authority: use it to see what is moving, then follow the linked primary sources for anything important.
The AI Adoption Compass is a static, source-labelled research surface that explains official business use, worker generative AI use, small-business experimentation, sector gaps, and productivity limits without merging them into one adoption rate.
Source code is available on GitHub.
Operator
This project is operated by Scott Hazlitt, a private individual based in Winnipeg, Manitoba, Canada. It is a personal project exploring AI-assisted software development and public-interest data journalism.
Scott works at the intersection of public policy, data, and technology. More at scotthazlitt.ai and LinkedIn.
Data sources and methodology
The active source registry currently lists 11 public source groups for the core dashboard and public data services. Related public pages add separate curated or reviewed reference surfaces where a live feed is not the right model. A plain-language source list is available on the Sources page.
News and media
- Canadian News Feeds - Google News, BetaKit, and CBC Technology news-feed coverage for Canadian AI stories
Government and policy
- OpenParliament.ca - federal House of Commons mentions of AI
- LEGISinfo - AI-related bills in the Parliament of Canada
- Open Canada AI Registry - federal Algorithmic Impact Assessment disclosures
- Provincial AI Regulation - manually maintained regulatory references across Canadian jurisdictions
Research and ecosystem
- arXiv and OpenAlex - AI and machine-learning research signals connected to Canadian institutions
- Canadian AI Startups - curated startup and funding signals sourced from Canadian technology coverage
- Global standing sources - Oxford Insights, Stanford HAI, IMF, OECD, Tortoise, Anthropic, and Federal Reserve references for Canada's international AI standing
Market and economic
- Government of Canada Job Bank - AI-related job posting statistics
- Statistics Canada - labour force and economic context for AI-sector employment
- AI Adoption Research Snapshot - Statistics Canada, KPMG, CFIB, OECD, C.D. Howe, Stanford HAI, and Government of Canada references used for the adoption compass
Reference and archive surfaces
- Canadian government AI quotes - a Supabase-backed archive of approved quote records, with automated candidate ingest and admin review before public display
- Canadian data centres - a curated, city-level map of cloud regions, colocation facilities, telecom data centres, and high-performance or AI-compute sites
- Topic pages - canonical policy, infrastructure, application, research, and ecosystem categories populated from the latest enrichment bundle
AI enrichment
Story summaries, executive briefs, daily digests, topic tags, section summaries, and deep-dive posts are generated or assisted using OpenAI models, then cached before public rendering. Normal page views do not call the AI provider directly. See the How it works page for full pipeline details.
Key limits
- This is an independent personal project and does not represent any government, academic institution, or commercial entity.
- AI-assisted summaries and analyses may contain errors, omissions, or misleading phrasing. Always verify critical information with the linked primary sources.
- Market and economic indicators are contextual signals only and should not be used for trading or investment decisions.
- Story classification, sentiment, geography, and topic tags are automated or semi-automated and imperfect. Misclassifications will occur.
- Data freshness depends on upstream source availability. Feeds may occasionally fail, change format, duplicate records, or return stale results.
- Public status indicators report feed, digest, enrichment, and source-registry state; they are operational signals, not completeness guarantees.
Corrections and contact
If you spot an error in AI-assisted content, a misclassification, an accessibility barrier, or a technical issue, contact scott@scotthazlitt.ai. I aim to respond within 30 days.
Corrections to parliamentary, government, market, or research records must also be directed to the originating source. AI Canada Pulse can correct how a record is displayed, but it does not control the upstream data.
Accessibility and open source
AI Canada Pulse targets Web Content Accessibility Guidelines 2.1 Level AA conformance, with semantic HTML, keyboard navigation, and sufficient colour contrast.
Built with Next.js, TypeScript, Tailwind CSS, Upstash Redis, Supabase, OpenAI, and Vercel.
Last updated: May 20, 2026