From B2B signals to a scoped technical pilot.
Cargo Profit Engine combines tightly capped prospect research, a tested Go scoring engine, opportunity briefs, readiness gates, and an AI customer guide.
Connected workflow
Cargo
Go
Sitelas
Quickchat
Markup AI
GitHub
CodeQR
● VERIFIED BUILD
A real lead-intelligence and developer-service engine.
The local app scores sourced companies, attaches professional buyers, builds opportunity briefs, exports machine-readable artifacts, and refuses activation until readiness gates pass.
OPERATING PRINCIPLE
Specific technical problems beat generic outreach.
The workflow narrows each strong account to one plausible integration, automation, testing, dashboard, or AI/MCP pilot with a measurable technical outcome.
CURRENT SAMPLE
accounts scored
TOP PRIORITY
P1 opportunities
● WHAT I BUILD
Technical work tied to a measurable result.
The offer is developer work: connect systems, automate workflows, make data visible, add reliability, and prototype bounded AI workflows.
API Integrations
Connect services, normalize payloads, handle retries and failure paths, and make the integration observable instead of brittle.
REST · WEBHOOKS · DATA SYNC
Workflow Automation
Turn repetitive multi-step work into an auditable pipeline with clear triggers, state, logging, and safe fallbacks.
TRIGGERS · STATE · LOGGING
Dashboards + Internal Tools
Build focused Go or Flask interfaces around real data sources so teams can inspect status, metrics, and next actions quickly.
GO · FLASK · HTML
AI / MCP Prototypes
Prototype bounded AI workflows with explicit tools, guardrails, evaluation, and human-visible outputs instead of opaque automation.
TOOLS · GUARDRAILS · EVALS
● PILOT FORMATS
Scoped around the problem, not a generic package.
Pricing is defined after reviewing the technical scope. These are example engagement shapes, not fixed public prices.
Integration Pilot
Scoped
per problem
Connect two systems and prove the data path.
✓ API or webhook integration
✓ Error handling + logging
✓ Testable input/output contract
✓ Clear success criterion
✓ Handoff notes
COMMON
Automation Sprint
Scoped
per workflow
Automate one repetitive process end to end.
✓ Workflow mapping
✓ Trigger + state handling
✓ Safe failure behavior
✓ Visibility / dashboard output
✓ Tests or validation
✓ Deployment handoff
AI / MCP Prototype
Scoped
Bounded agent workflow with real tools and evaluation.
✓ Tool contract design
✓ Permission / safety boundaries
✓ Structured outputs
✓ Evaluation cases
✓ Human-visible evidence
✓ Handoff and next-step plan
No guaranteed revenue, ROI, delivery time, certification, or business outcome is claimed. Scope and success criteria are agreed before work starts.
● BUILD EVIDENCE
Verified by code, not testimonials.
The showcase is intentionally based on what can be demonstrated: tests, artifacts, sourced data, usage accounting, and live interfaces.
“The Go engine runs the scoring, ranking, buyer attachment, opportunity brief, export, and readiness logic as tested code.”
LOCAL ENGINE
GO 1.27.1 · TESTED ON WINDOWS
“Cargo research is tightly capped and measured; the public site keeps exact prospect identities private while showing the opportunity shapes.”
SOURCE DISCIPLINE
CAPPED SEARCH · PRIVATE PROSPECT DATA
● WHY THIS WORKFLOW
Built to stay inspectable as it gets more capable.
Every layer has a visible purpose: source carefully, score deterministically, qualify professionally, gate risky actions, and publish only evidence-backed claims.
Deterministic scoring
Fit rules live in Go code and tests, so ranking logic can be inspected and changed deliberately.
Readiness gates
Email enrichment and outbound are blocked until the required relevance, suppression, basis, and sender checks are documented.
Public / private separation
Public pages show anonymized opportunity categories. Exact prospect identities and internal research stay private.
Interactive AI guide
Visitors can ask what the system does, what a pilot includes, and whether a problem fits—without exposing credentials or private prospect data.
● QUESTIONS
What customers usually need to know.
● TECHNICAL PILOT
Bring one integration or automation problem.
Describe the system, workflow, API, dashboard, or testing problem. The goal is to define one narrow proof-of-concept with a measurable technical outcome.