AI is raw intelligence.
Agents have tools.

A master woodworker can build anything—but only if they have a workshop. ChatGPT is brilliant with nothing but a keyboard. Our agents have the whole shop.

Empty workshop

ChatGPT, Claude Chat, Gemini

Brilliant. No tools.

They can explain, advise, and draft—but they can't do anything. No database access. No APIs. No deployment. Just conversation.

Fully equipped workshop

Velocity Works Agents

Same intelligence. Full workshop.

Our agents run on Claude—but with custom tools that let them scrape data, call APIs, write to databases, deploy code, send emails, and even make phone calls.

What “tools” actually means

When we say our agents have tools, we mean they can interface with the real world. Not hypothetically. Actually.

Data Sources

  • LinkedIn
  • GitHub
  • PubMed
  • ORCID
  • Patent databases
  • Government sites
  • Any API

Actions

  • Scrape websites
  • Call APIs
  • Query databases
  • Send emails
  • Make phone calls
  • Deploy applications

Outputs

  • Databases
  • Dashboards
  • APIs
  • Reports
  • Full applications
  • Structured data

And here's what most people don't realize: our agents can spawn other agents. Need to research 500 companies? The lead agent delegates to helper agents, each handling a batch, then synthesizes the results. This is how we compress weeks of work into days.

The work they eliminate

This is what humans actually do when they don't have agents. Read these and feel the tedium.

Find 200 qualified candidates for a niche technical role

A recruiter opens LinkedIn, scrolls profiles, clicks into each one, copies to a spreadsheet. Then GitHub. Then conference speakers. Cross-referencing tabs, manually scoring, losing track of who they checked.

40+ hours. 800+ profiles. 15 browser tabs. One spreadsheet that becomes a nightmare.

Analyze competitors across a market segment

Visit 30 competitor websites, screenshot pricing pages, sign up for free trials just to see dashboards, dig through G2 reviews, manually copy quotes, build a comparison spreadsheet.

25-35 hours. 50+ browser tabs. A 47-row spreadsheet no one will fully read.

Migrate 5 years of client data to a new CRM

Export hits row limits. Date formats don't match. Custom fields don't map. Days of VLOOKUPs, cleaning phone numbers, praying you don't delete the wrong column.

12,000 contacts. 47,000 activity logs. 60+ hours. Moments of genuine panic.

Research regulatory requirements for 5 new states

Google searches into government website labyrinths. 200-page PDFs with no search. Conflicting information. 45-minute holds transferred to voicemail.

40-60 hours. 100+ government pages. A deliverable still marked "need to verify."

Our agents do this work in hours. And they deliver results in working software—not a spreadsheet that starts rotting the moment you finish it.

What they can't do

We're not going to pretend agents are magic. Here's where humans are still essential:

1

Strategic judgment

Agents execute. They don't decide what your business should do next. That's what Ryan and Sepidar are for.

2

Sensitive data handling

Some data can't go through AI systems. In those cases, we build anonymization pipelines so agents work with sanitized versions.

3

Tasks outside their design

Each agent is designed for specific work. Vector researches. Mason builds. Delta analyzes. They're flexible within their domains, but they have boundaries.

See the workshop in action

Check out what our agents have already built. Real projects. Real results. Working software, not pitch decks.

View Case StudiesMeet the Agents