Disclaimer
Nothing in this workshop is the official position of, or endorsed by, Anthropic or SCSP.
What we'll do today
1
Watch me build a live website from a dataset in 15 minutes using Claude Code
2
Then you build your own and publish it to a public URL
3
We’ll share and discuss
SCSP AI+ Expo · May 9, 2026
What we'll do — in order
Roughly 75 minutes; we'll move through these in order
1
Welcome & context
2
Chatbot vs. agent
3
The dataset & data safety
4
Live build & deploy
5
Hands-on (your turn)
6
Showcase
7
Wrap-up & resources
Agents vs chatbots
An agent is a model running tools in a loop.
The model
picks the next action — which tool to use, what to read, what to write.
The tools
are everything it can use on your behalf: read files, run code, browse the web, send messages.
The loop
is try → observe → retry, until the goal is met.
It is not just bigger models — it’s better tools and tighter loops.
New paradigm new risks
Three things to know before you point an AI at your data
01
Opt out of training data
Claude.ai → Settings → Privacy → "Help improve Claude" toggle off.
02
Avoid the lethal trifecta
Untrusted input + private data + external action. If a prompt has all three, a prompt hidden in the input can trigger unwanted actions.
03
Never paste secrets
API keys, PHI, CUI. If a file contains them, ask Claude to ignore those lines. Use Claude Code to help generate synthetic data if possible.
How you direct an agent
Treat Claude like a forgetful intern. Specific instructions and context are required.
1
Explore
Look at the data. Gather context.
2
Plan
Propose what to build. Ask the user before writing.
3
Execute
Carry out the plan.
4
Iterate
Show the result. Take feedback. Refine.
Your first prompt today asks Claude to look first and then ask you questions to create a plan — that's this loop in action.
Today's dataset
Stanford SNAP Facebook ego networks · McAuley & Leskovec, NIPS 2012
4,039
anonymized people
88,234
friendships
10
ego networks
1
edge-list file
facebook_combined.txt.gz
0 1 0 2 0 3 1 4 1 5 ...
LIVE BUILD
Watch me
Dataset → working interactive site → public URL — in 15 minutes, in plain English.
If something breaks, here's the backup:
learning-journey-ai.github.io/scsp-workshop-demo
Don't have Claude? Grab a free month while supplies last
6
free Claude Pro 1-month codes
first come, first served
What to do:
1
Come up to the front to claim a code while we get started
2
If you miss out — pair with a neighbor running Claude
3
Either way, take the reference card home and try later
Pick your difficulty
All in plain English, all on your reference card
BEGINNER
INTERMEDIATE
ADVANCED
Showcase — share your URL
1
Share links in https://docs.google.com/spreadsheets/d/1NFtKRzlB6n9YVeHiG9zCupY9W1Lmf5YvfwlwvKn2axk/edit?usp=sharing
2
A volunteer or two: walk us through what you built
3
What do you want to build next?
Keep building
What to read, watch, and try after today
code.claude.com/docs
Learn more about Claude Code
snap.stanford.edu/data
More public network datasets to point Claude at
resources.anthropic.com/hubfs/The-Complete-Guide-to-Building-Skill-for-Claude.pdf
Learn to build your own skills
dcai.guide
Find AI resources and community events in DC
Thank you.
Questions?
Nicholas Wagner nwagner@learningjourneyai.com Learning Journey AI