Confidential portfolio · shared by direct link · not indexed

Franco Celeste

AI Consulting and Solutions

Miami, FL · Remote-ready · Independent practice, 12 companies across 6 industries

$134,000annual workflow waste identified in one diagnostic
$74,230net annual savings mapped (55% projected cost reduction)
$61,000per year in unworked lead leakage surfaced
100+AI agents built across 700+ hours of applied work

Every figure on this page comes from a documented engagement deliverable. Client names available on request under NDA; industries shown.

Case Files

Forensic expert services

End-to-end AI client-acquisition system, launched and live

CS-01
Problem
Specialist firm with strong credentials and no repeatable pipeline: no outbound engine, no CRM intake, no way to capture website visitors.
Build
Compliant cold-email infrastructure on warmed dedicated domains (SPF/DKIM/DMARC, CAN-SPAM unsubscribe verified on every template), HubSpot CRM intake, and a Claude-powered website chatbot on Cloudflare with hard monthly spend caps and fallback behavior. Daily launch surveillance with a written health brief.
Outcome
Launched July 2026 and operating live under a managed send ramp. Results earned a follow-on program proposal spanning a 12-bot expansion roadmap.
Claude APICloudflare WorkersInstantlyHubSpotEmail deliverabilityCompliance

Luxury auto rental

Automation Leverage Audit: $134K of invisible cost, quantified

CS-02
Problem
Six-person exotic rental operation across two cities, spending heavily on a sales process nobody had ever measured. 71% of it turned out to be manual.
Build
Full workflow-costing diagnostic: labor, revenue leakage, ad waste, and rework modeled step by step; six fix opportunities mapped, four of them no-code and startable within a week. Delivered as a board-ready report in 48 hours.
Outcome
$134,000/yr total workflow cost baselined; $74,230/yr net savings mapped (55% projected reduction); $61,000/yr in lead leakage surfaced.
Process diagnosticsROI modelingWorkflow costingExecutive reporting

Commercial real estate · SaaS

Full-stack AI SaaS, built solo from zero to paid subscriptions

CS-03
Problem
Brokers spend hours drafting offering memoranda and deal analyses by hand; existing tools don't produce client-ready drafts.
Build
Sole architect and builder of a subscription web app: Cloudflare Workers + D1, magic-link authentication, Claude-powered document generation with pinned model versions, PDF pipeline with email delivery, Stripe subscriptions with customer portal, tiered usage caps with burst limits.
Outcome
Live product with self-serve checkout. Passed a formal pre-launch legal-claims audit (FTC click-to-cancel, CAN-SPAM, state consumer-protection statutes) — every customer-facing claim rewritten to survive scrutiny.
Claude APICloudflare D1StripeAuthPDF generationLegal-claim compliance

Family enrichment studio

Lifecycle marketing automation in the client's own voice

CS-04
Problem
Boutique studio running onboarding, retention, and win-back communication entirely by hand, with no consistent follow-up.
Build
Complete customer-journey automation on the studio's booking platform: trigger design, audience filters, delays, channel selection, exit conditions, and message copy written to match the owner's documented brand voice.
Outcome
Delivered, approved, and paid in full, with a 30-day support window and a results-report close-out. Copy approved by the owner without voice corrections.
Journey designBrand-voice copyMarketing automationClient delivery

Production conversational AI

From chatbot to real-time AI video avatar, with cost discipline

CS-05
Problem
Business websites either have no conversational layer or an unbounded one that hallucinates claims and runs up API bills.
Build
Claude-backed chatbot on Cloudflare (Worker + D1) with versioned system prompts restricted to documented case figures only, later upgraded to a real-time conversational video avatar with minute caps and automatic text-chat fallback when limits are reached.
Outcome
Live in production since May 2026. Zero fabricated-claim incidents by design: the prompt cannot cite numbers that don't exist in source documents.
Conversational AIVideo avatarPrompt versioningCost capsGuardrails

Internal platform · AI operations

The operating system behind every case file on this page

CS-06
Problem
Industry surveys report that while 76% of developers use or plan to use AI tools, only 29% trust AI output accuracy (Stack Overflow). The norm is autocomplete and chat; unverified AI output is the bottleneck.
Build
A governed multi-agent operating system on Claude Code that runs the entire practice: 8 specialized agents under a documented org chart with explicit handoff contracts (strategy, sales, adversarial review, debugging, live client surveillance, session lifecycle) and 25 custom skills. A two-gate ship pipeline verifies every client-facing figure against source-of-truth files, then runs a separate 8-point brand/voice/scope check. Persistent cross-session memory with scheduled pruning audits, automatic pre-edit backups, secret/PII leak scans before every deploy, a monthly 4-sweep self-audit, and encoded governance: reversible decisions delegated to AI within defined impact thresholds, irreversible or external actions gated to the operator.
Outcome
Trust is not required, because outputs are verifiable by construction. One operator delivers diagnosis, build, launch, sales, and daily client surveillance at agency scale: every engagement above (CS-01 through CS-05) was produced through this system.
L1

Chat prompting

Ask a chatbot, paste the answer. Where most AI use still lives.

L2

Copilot autocomplete

Inline suggestions inside an editor. The developer norm (76% adoption).

L3

Single-agent tasks

An agent completes a scoped task end to end, human reviews everything.

L4

Agentic orchestration

Multi-step agents that plan, call tools, and run tests. The 2026 frontier.

L5

Governed multi-agent business OS this system

Specialized agent teams with handoff contracts, verification gates, persistent memory, self-auditing, and encoded decision governance, operating a real business daily.

Maturity ladder is a self-assessment framed against published adoption data (Stack Overflow developer surveys); it is an architecture comparison, not an external certification.

Claude CodeMulti-agent orchestrationVerification gatesPersistent memorySelf-tuningGoverned autonomy

Capabilities

LLM solution design

Claude API architecture, agentic workflows, tool use, multi-agent orchestration, model pinning with regression tests, eval gates and red-team review before anything ships.

Full-stack delivery

Cloudflare Workers, Pages, and D1; JavaScript/Node; Stripe subscriptions and webhooks; magic-link auth; PDF pipelines; Git-based auto-deploy.

GTM and automation systems

HubSpot, Instantly, email deliverability (SPF/DKIM/DMARC, warm-up, unsubscribe compliance), lifecycle journeys, AI video (HeyGen, Tavus).

AI governance and compliance

Claim audits against FTC, CAN-SPAM, and state consumer-protection statutes; AI-draft disclaimers; conservative ROI bands; secrets management; leak scanning before every deploy.

Founder-led sales

Full-cycle B2B sales, self-sourced: prospecting, discovery, proposals, negotiation, close, delivery. $5,900 closed in 2026 from a cold start with no brand; an $18K deal reopened at CEO level by restructuring risk terms instead of discounting.

How I Work

Contact

This portfolio is shared privately with prospective employers and is not publicly listed. Client references and named verification available on request under NDA.

fceleste617@gmail.com · Miami, FL