We show YOU how to build AI systems
that work while you sleep.

TAG is here to put end-to-end, working AI systems in the hands of business owners. The ones we use, the ones we build for you, and the knowledge to build your own.

· how ·

Seven pipelines.
Running right now.

Each one replaces a workflow humans used to run. Built, deployed, and operating today — scroll to see each in motion.

01 / 07● IN PRODUCTION

Bid → Proposal

An RFP lands in the inbox. By the time a human reads it, the proposal is already written, branded, and ready to send.

throughput
RFP → signed proposal in ~12 min
  1. R
    01 · AgentReceiverreads the inbound bid and classifies it
  2. S
    02 · AgentScoutpulls matching past projects for reference
  3. A
    03 · AgentAnalystbreaks down scope, timeline, and requirements
  4. A
    04 · AgentAuthordrafts the proposal narrative
  5. D
    05 · AgentDesignerapplies the brand template and formats
  6. C
    06 · AgentCouriersends it off and logs it in the CRM
02 / 07● IN PRODUCTION

Research → Sales

A target account list goes in. A queue of warm, personalized conversations comes out — every prospect gets the right message at the right moment.

output
50 personalized conversations / day
  1. H
    01 · AgentHunterfinds target accounts that fit the ICP
  2. O
    02 · AgentObserverwatches public signals — hires, funding, news
  3. P
    03 · AgentProfilerbuilds a dossier on every account
  4. S
    04 · AgentStrategistpicks the right message and the right moment
  5. M
    05 · AgentMessengersends the personalized outreach
  6. T
    06 · AgentTrackermonitors replies and routes them home
03 / 07● LIVE

Website Audit → AI Redesign

A zip code goes in. Underperforming small-business websites come back with full audits, three AI-rebuilt mockups each, and outreach emails already sent.

throughput
prospect → full pitch package in ~3 min
  1. S
    01 · AgentSpotterfinds underperforming local businesses
  2. I
    02 · AgentInspectoraudits their site on six dimensions
  3. E
    03 · AgentExtractorpulls brand, services, team, reviews, FAQs
  4. A
    04 · AgentArchitectrebuilds the site as three AI-powered mockups
  5. S
    05 · AgentScribewrites the three-act pitch report
  6. P
    06 · AgentPublisherdeploys everything live
  7. E
    07 · AgentEnvoysends the outreach email with all the links
04 / 07● IN PRODUCTION

Raw Footage → Full Production Video

Raw clips go in. A polished, scored, narrated, captioned production video comes out — no editor needed.

turnaround
raw clips → published video in under an hour
  1. I
    01 · AgentIngestortakes in raw footage and organizes it
  2. E
    02 · AgentEditorcuts, paces, and selects the best takes
  3. S
    03 · AgentScorerwrites or matches music and sound design
  4. N
    04 · AgentNarratorgenerates the voiceover
  5. F
    05 · AgentFinishercolor grades, captions, and polishes
  6. P
    06 · AgentPackagerexports in every format and uploads
05 / 07● IN PRODUCTION

Outreach → Lead

An ICP definition goes in. Meetings on your calendar come out — booked while you sleep, across every channel.

output
300 personalized touches / day
  1. L
    01 · AgentListerbuilds the target list from ICP filters
  2. E
    02 · AgentEnricherfills in and validates contact data
  3. C
    03 · AgentComposerdrafts a personalized message for every prospect
  4. D
    04 · AgentDispatchersends across email, LinkedIn, and SMS
  5. S
    05 · AgentSentrywatches inboxes for replies
  6. R
    06 · AgentRouterqualifies responses and books the meeting
06 / 07● IN PRODUCTION

Content Calendar → 500 Posts a Day

One content calendar goes in. Five hundred on-brand social posts — written, designed, scheduled, and published — come out every day.

velocity
500 on-brand posts / day
  1. P
    01 · AgentPlannerreads the calendar and knows today's themes
  2. W
    02 · AgentWriterdrafts copy for every post
  3. V
    03 · AgentVisualizergenerates images and graphics to match
  4. R
    04 · AgentReviewerchecks brand voice and flags risks
  5. P
    05 · AgentPosterpublishes each post on schedule
  6. A
    06 · AgentAnalysttracks engagement and feeds it back upstream
07 / 07● IN PRODUCTION

Addresses → Showing Package

A list of addresses goes in. A full real-estate showing package — per-property one-pagers, comps, photos, and the optimized route — comes out.

turnaround
address list → full showing packet in minutes
  1. L
    01 · AgentLocatorpulls property data for every address
  2. H
    02 · AgentHistoriandigs up sale history, permits, and neighborhood context
  3. A
    03 · AgentAppraiserbuilds comps and highlights selling points
  4. S
    04 · AgentStagerpulls photos and generates walkthroughs
  5. C
    05 · AgentCompilerassembles the packet — one page per property + the route
  6. C
    06 · AgentCourierdelivers it to the agent's phone

· art ·

Behind the systems.

TAG AI is a two-person shop — Julian and Gus Sanchez — building autonomous agent infrastructure for the companies ready to stop doing repetitive work. Most agencies hand you tools. We hand you a workforce.

Reach out

We reply within the day. Usually within the hour.