CompanyCam agent demoClawdified × ZC Productions

AI agents · real client workflow · live system

From field photos to a client-ready report in one run.

The CompanyCam Assessment Agent is the “beef” of this presentation: a real automation that pulls field data, structures it, generates Docs/Sheets/report outputs, and writes the summary back to the source system.

Wes · Founder, ClawdifiedPress → to walk the workflow

The bottleneck

Vince already has the data. The problem is everything after the site visit.

CompanyCam is where the work starts: photos, window labels, comments, field notes, and project context. The old workflow is manually turning that scattered field data into a professional assessment package.

01Data lives in the field system.Photos, tags, comments, and notes are useful — but not yet report-ready.
02Every panel has to be normalized.Dimensions, breaks, lead deterioration, warping, water entry, rebar, and condition all need structure.
03Deliverables are split across tools.Excel, Google Sheets, Google Docs, Word reports, and CompanyCam summaries all need to agree.
Project 102341126

St. Mark's Episcopal Church Assessment

412 Oak Street, Chattanooga, TN · stained glass survey

Window 7 - South
south exposure, sanctuary
5 panels 29x161
a. top 29x38 - 2 breaks, sig lead deterioration, cement eroding, poor
b. 2nd from top 29x38 - cat 2-3 warping, lead splitting, poor

Exact workflow

The agent is an extraction pipeline, not a chatbot.

It starts where the contractor already works, then produces every downstream artifact the business needs.

Input

CompanyCam project

Project metadata, address, photos, comments, tags, and notepad context.

Pull

API fetch

Gets paginated photos, per-photo tags, per-photo comments, and image URLs.

Parse

Panel extraction

Claude-first structured extraction with deterministic fallback parser.

Structure

Assessment data

Window, panel, dimensions, issues, severity, condition, notes.

Generate

Docs + Sheets

Field notes doc, color-coded sheet, Excel workbook, and full report.

Write back

CompanyCam summary

Updates the project notepad with counts, critical windows, and output links.

What it extracts

Raw field notes become structured business records.

Raw CompanyCam comment

Window 1 - East

east exposure, bell tower
2 panels 30x82
a. top 30x40 - 2 breaks, sig lead deterioration, cat 2 warping, past repairs failing, poor
b. bottom 30x42 - 1 break, moderate lead deterioration, cement eroding, water entry, fair
commenttagphoto URLwindow marker

Structured panel record

{
  "window_number": 1,
  "exposure": "east",
  "location": "bell tower",
  "overall_dimensions": "30x82",
  "panel_letter": "a",
  "panel_dimensions": "30x40",
  "num_breaks": 2,
  "lead_deterioration": "significant",
  "warping_category": "cat 2",
  "past_repairs_failing": true,
  "condition": "poor"
}
dimensionsbreaksleadwarpingcondition

Run workflow

What the audience watches live.

This slide is the calm walkthrough. The final slide opens the real app and runs it against CompanyCam.

CompanyCam Project ID

Presenter line: “The button is not asking AI to improvise. It starts a fixed workflow: fetch → parse → generate → write back.”

workflow streamready
Connecting to CompanyCam…
Pulling photos, tags, comments, and image URLs…
Parsing window assessments into panel records…
Generating field-notes Google Doc…
Creating color-coded assessment spreadsheet…
Building full assessment report with Appendix 4 photos…
Updating CompanyCam notepad with summary and links…
Complete — assessment package ready.

What comes out

One run creates the whole assessment package.

Google Doc

Organized field notes

Raw observations regrouped by window so Vince can audit what the agent extracted.

Sheet / Excel

Assessment schedule

Color-coded panel table with condition counts, critical windows, and issue columns.

Report

Client-ready narrative

Reference-style Word/Google Doc report with cover, sections, valuation, summary, and appendices.

CompanyCam

Source-system writeback

Notepad summary gets updated with output links and condition breakdown.

Report proof

The output is not a generic AI write-up.

Appendix 4 · Site Notes

Window-by-window proof with photos and measurements

1. Two Panels 30x82a. Top 30x40
• 2 glass breaks
• significant lead deterioration
• warping cat 2
• Poor condition

b. Bottom 30x42
• 1 glass break
• moderate lead deterioration
• Fair condition

32

windows present in the polished report artifact

136

panel records represented in the final assessment

32

embedded image files detected inside the Word report

9

reference-style sections: overview, condition, 100 year plan, summary, appendices

Time saved

For this workflow, the savings are almost a full workday per assessment.

Conservative manual baseline

609 minutes
manual work
− live runtime
= time saved

Baseline includes CompanyCam collection, panel normalization, spreadsheet formatting, report assembly, upload/share links, and CompanyCam writeback.

10 min run
9.98 hrs saved
15 min run
9.90 hrs saved
20 min run
9.82 hrs saved

Manual total

10.15h

conservative estimate

Report scale

136

panels processed

Reduction

97%+

for 10–20 min live run

From the other agent inputs

Where this fits inside the ZC agent menu.

The CompanyCam demo is the clearest proof, but the same build pattern maps into four sellable categories for ZC clients.

01
Competitor analysis

Audit a client site against competitors and return the ranked backlog: keywords, content gaps, technical fixes, and why they matter.

02
Lead generation

Find, qualify, enrich, and package B2B prospects so a rep starts with context instead of blank research time.

03
Proposal generation

Draft the repeatable 75%, then flag the few strategic sections that still need Robert’s judgment.

04
Admin reporting

Pull data from wherever it lives and ship the recurring Docs/Sheets/reports that quietly eat the week.

More of the work

A few other agents already in the portfolio.

Lead generation

Find & enrich B2B prospects.

Built for a services client. The agent searches, qualifies, enriches contact routes, and packages each lead with the context a sales rep actually uses.

Sales-rep research day → qualified list in minutes

SEO & competitor analysis

From “where do we start” to a ranked backlog.

Point it at a client site and competitor URLs. It audits keyword overlap, content gaps, technical issues, and priority fixes.

Content team confusion → prioritized action list

Administrative reporting

The recurring report, on autopilot.

The same pattern as CompanyCam: pull source data, normalize it, build the deliverable, and put it where the team expects it.

Weekly manual report → repeatable workflow

Built for ZC

An AI proposal generator for ZC — Robert plus agent.

Robert’s bottleneck

30+ hrs

Robert spends thirty-plus hours writing a single proposal. The agent drafts the repeatable 75% in under five minutes, then tells him exactly which sections still need strategic input.

RobertInputs the brief.Client name, services on the table, and two or three sentences of context.
AgentDrafts and flags.Generates the proposal draft and calls out the client-specific gaps in plain English.
RobertAnswers and finalizes.Robert handles strategy. The agent folds in the answers and outputs the send-ready proposal.

Partnership

How Clawdified plugs into ZC.

White-label.
Agents are built, hosted, and operated by Clawdified — and sold under the ZC brand as a ZC service.
Patient zero.
ZC’s own proposal generator becomes the proof-of-concept. You live with the product before you sell it.
Scalable menu.
Start with the four buckets and expand the catalog as clients surface new repeatable workflows.

Why this matters to ZC

This is the pattern behind useful agents.

01They live where work already happens.CompanyCam stays the source system. The agent does not ask the team to change habits first.
02They turn messy inputs into structured outputs.Photos and comments become rows, sections, reports, and summary links.
03They finish the loop.The workflow does not stop at “draft generated.” It writes final deliverables back where the client expects them.
Bridge to your world

A ZC proposal agent is the same shape.

Pull the source material, structure the messy inputs, generate the client-ready package, flag what still needs human strategy, and save the finished output where the team already works.

Live reveal

Now run the actual CompanyCam agent.

http://127.0.0.1:5050CompanyCam Assessment Agent

Over to you

That is the work. What should we dig into?

We can open the CompanyCam project, inspect the generated report, walk the code, or talk about how the same agent pattern maps to ZC proposals.

Built by

Wes · Clawdified

Main demo agent

CompanyCam Assessment Agent

Local path

/workspace/bots/vince-agent

← → / space to navigate · F fullscreen · final slide embeds the live agent