AI Engineering Agency/agents: 3 active

Build what works.

You’re drowning in AI hype and agencies who overpromise. We assess, build, and operate intelligent systems end to end.

What our clients say

They audited our AI agent pipeline, found the bottlenecks we couldn't see, and had a working prototype in two weeks.

RS

Rudy Sanchez

CEO, Vital Fitness · AI Agent Audit & Prototype Build

How We Work

Assess. Build.
Operate.

Every engagement follows the same arc — find what matters, ship it fast, keep it running when the hype dies down.

Phase 01

Audit

Find what matters before we touch a keyboard.

We tear into your stack, map every failure point, and hand you a plan that actually makes sense — not a 40-page deck nobody reads.

Phase 02

Build

Two-week cycles. Production, not staging.

Every sprint ships to real users. No waterfall. No six-month gestation periods where nothing happens.

Phase 03

Operate

Systems stay alive when the hype dies down.

Monitoring, iteration, incident response — ongoing work so your infrastructure doesn't become someone else's problem next quarter.

Code Intelligence Layer

Give your agents a map of the codebase.

CIL builds a structural index of your codebase using tree-sitter AST parsing. Agents query symbols and trace calls instead of loading entire files into context — saving ~60–70% tokens on large files.

~65%Fewer tokens on large files
0.3sQuery time
ASTtree-sitter powered
bash
$ cil index /path/to/project
Indexing project at /path/to/project...
✓ 47 files parsed in 2.3s
✓ .cil.db created

Get in Touch

Ready when you are.

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