SHAWRANA

Design&Rank operations system

SR-001 · 2015 · CL-A · BUSINESS SYSTEMS (PRE-AI)

Design&Rank started on paper. Leads on paper, closers dialing from paper, customer service logging jobs on paper for the dev team.

I picked a modular base and rebuilt it with my dev team around the whole company: SDRs, closers, customer service, retention, fulfilment and monthly billing in one pipeline.

By the end, every part of the company ran through it, billing and fulfilment included.

40 · people on one pipeline

Prime CS dialer platform

SR-002 · ~10 yrs running · CL-A · BUSINESS SYSTEMS (PRE-AI)

Prime CS sets appointments for car dealerships and gets paid per lead, so every extra minute per lead eats margin. Before the build it ran on spreadsheets and manual dialing.

I designed a dialer pipeline with voicemail detection, so agents only ever speak to a live person, with the right record already on screen.

It handles every client's intake and delivery format, from email to SFTP, and gives supervisors dashboards to run each campaign to goal.

~10 yrs · in production

Augmented underwriting

SR-003 · AI era · CL-B · AI IN PRODUCTION

Built solo for a micro-lending company. Human underwriters stay in charge; AI adds decision signals to every application.

The data is processed on the company's own box with local models, so applicant files never leave it.

Approvals and declines got faster, and fewer loans defaulted.

Saivpoint save desk

SR-004 · 2026 · CL-B · AI IN PRODUCTION

An AI desk that answers refund, cancel and billing messages for a digital-offer subscription brand I run.

It handles the routine cases and hands anything unusual to a person.

83% · resolved by the AI alone

Company rolodex

SR-005 · 2026 · CL-B · AI IN PRODUCTION

One registry and app for every company I own or manage: directors, fiscal year-ends, deadlines, incoming letters and a ledger.

An agent works from it with fixed rules. Secrets stay in a password store; the database only keeps pointers.

33 · companies run from one app

AI call desk

SR-006 · 2026 · CL-C · VOICE + OUTBOUND AI

It places real phone calls for me: parts desks, suppliers, quotes. One brief in, one call out, then a transcript and a structured result on my phone.

It runs a speech-to-speech model over a Canadian carrier, handles French, answers callbacks, and hangs up on voicemail.

Every call needs my go first.

Collections outreach

SR-007 · AI era · CL-C · VOICE + OUTBOUND AI

A context-driven SMS and email agent for the micro-lending company that reaches defaulted clients and sets up payment plans.

A compliance check runs against every outbound message before it is sent.

Vinsight deal pipeline

SR-008 · AI era · CL-D · INTELLIGENCE PIPELINES

Pulls car sales data and trends. Every new opportunity passes a predictive gate, then a deterministic gate, then an LLM that reads the context and decides.

The team now spends its time on the deals the pipeline surfaces instead of hunting for them.

Marketing feedback system

SR-009 · AI era · CL-D · INTELLIGENCE PIPELINES

Reporting across Google Ads and Meta for the micro-lending company, fed back into creative and ad strategy.

An LLM compliance layer reviews all marketing output before it runs.

Evergreen wiki

SR-010 · 2026 · CL-D · INTELLIGENCE PIPELINES

Every agent session I run gets mined each night. Learnings land in a wiki with backlinks, a health check, and an index the next session reads first.

It is how a lesson from one project reaches the others without me repeating it.

100+ · pages, grown from sessions

Geo-leak lead finder

SR-011 · 2026 · CL-D · INTELLIGENCE PIPELINES

Finds businesses whose Meta ads spill across a border they do not serve. That leak is a warm lead.

A pre-triage classifier cuts paid lookups before anything is scored.

12,800 · ads screened by one pipeline

The agent fleet

SR-012 · 2026 · CL-E · AGENT INFRASTRUCTURE

A strong model drives: it plans, judges and writes the final word. Cheap, uncapped lanes do the typing and the browsing. A read-only scout does volume retrieval. A reviewer with fresh context checks the work.

I picked the execution model with a bake-off: same harness, same 34-check verifier, only the model changed. DeepSeek Flash scored 34 of 34 in 69 seconds; GPT-5.6 Luna scored 34 of 34 in 189.

2.7x · faster at the same score

Telegram bridge

SR-013 · 2026 · CL-E · AGENT INFRASTRUCTURE

Full Claude Code from my phone, built on an open-source bridge and extended: one private group per project, voice notes transcribed, a scheduler for recurring jobs.

Anything longer than a couple of minutes goes to a background lane, so the chat stays free while the job runs.

Approvals only apply to the message I reply to.

Seeded-defect QA

SR-014 · 2026 · CL-E · AGENT INFRASTRUCTURE

A builder agent does not get to grade its own gates. A 13-agent workflow built each quality gate, then attacked it with a planted defect it should catch.

A gate that misses its own seeded defect is fixed or marked not trusted.

Lego system

SR-015 · 2026 · CL-F · OFF-DUTY BUILDS

Sort by shape, never by colour: eight labelled bins. Next comes an inventory of every part, then custom instruction booklets designed only from parts already owned.

Designing around the inventory is what saves the money.

Jeep WK2 parts hunt

SR-016 · 2026 · CL-F · OFF-DUTY BUILDS

A scheduled agent hunts used body panels for a 2014 Grand Cherokee: checks fitment, emails yards, logs quotes and replies.

It negotiates. Nothing gets bought without my confirm.

Library-hold sweeper

SR-018 · 2026 · CL-F · OFF-DUTY BUILDS

Three small command-line tools: check my holds, sweep what is on the shelf at my branch right now, and place a hold.

The catalogue API signs every request, so the sweeper implements the signature instead of driving a browser.