Automation Content Generator Lead Qualification Intelligence Engagement Engine Campaign Auditor Ralph — GTM Agent Data Foundations Canon — Normalization
How It Works SCORE YOUR HUBSPOT

From prototype
to production

No subscriptions. No vendor lock-in. No black box. Every system we build is yours: the code, the infrastructure, the documentation. We hand it over and you run it.

Validate in hours
Production-grade code
Complete ownership

Three phases. One complete solution.

A proven methodology that delivers speed without sacrificing quality or ownership

1

Prototype

Prove it works

Most Sidera builds start in n8n. The visual workflow builder validates the concept against real APIs and real data before any production code gets written. Agent systems prototype in LangGraph and follow the same validate-first approach.

Validate concepts in hours
Real-time client feedback
Test with actual APIs
Demo working prototypes
Timeline 4-8 hours
Outcome Working proof-of-concept
n8n Claude AI APIs
2

Productionize

Build it right

Validated prototypes get rebuilt as production applications. Every codebase follows the same engineering standards: service-oriented architecture, version control, and tests against real data.

Service-oriented architecture
Pluggable data sources
Full test coverage
Version control (Git)
Timeline 1-2 weeks
Outcome Production-ready app
Python Flask Docker
3

Transfer

Own it forever

You receive complete ownership: source code, documentation, and a runbook. No vendor lock-in. No subscriptions. No ongoing dependency on Sidera to keep the system running.

All source code
Docker deployment
Full documentation
30-day support
Timeline 1 day handoff
Outcome Complete ownership
Docker Cloud-Ready Self-Hosted

Why this beats the alternatives

Approach No-code only Code only Sidera
Speed to validate Fast Slow Fast
Production quality Limited Professional Professional
Client ownership Lock-in Full Full
Maintainability Visual UI Requires devs Documented
Version control None Full Git Full Git
Automated testing Manual only Yes Yes
Cost model Monthly forever High upfront One-time
The best automation systems start fast and scale forever. That's why I prototype in hours, then productionize for ownership.
REAL EXAMPLE

Case study: HubSpot Content Generator

From weekend prototype to production system

The journey

FRIDAY NIGHT
Prototype
Built n8n workflow in 6 hours
Slack command interface
Google Drive brand context
Claude AI generation
Result: Working demo for Monday
FOLLOWING WEEK
Production
Converted to Python application
Service-oriented architecture
Docker deployment
Full test suite
Result: Client-owned infrastructure
FROM MANUAL PROCESS
Time per campaign 6 hours
Copywriter costs $450
40 campaigns/year $18,000
TO AUTOMATED SYSTEM
Time per campaign 15 seconds
One-time build $8,500
Operating cost $50/month
$17.5k
Annual savings
5.7
Month payback
100%
Client owns

Under the hood: production architecture

Slack Command Interface
/campaign topic audience goal template
Flask Application (Docker)
Parse command & return 200 OK | Spawn background thread
Brand Context Service
Google Drive API | 17 brand docs
Content Generator Service
Claude AI API | 3 variations
HubSpot Service
Clone template | Patch content | Return URLs
SERVICE PATTERN
# services/
# Each service has one job
# Easy to test, modify, replace

services/
  brand_context.py      # Google Drive
  content_generator.py  # Claude AI
  hubspot.py            # HubSpot API
PLUGGABLE DESIGN
class BrandContextProvider(ABC):
    @abstractmethod
    def get_brand_context(self):
        pass

# Today: Google Drive
# Tomorrow: Notion, S3, SharePoint

GETTING STARTED

What a first engagement looks like

Most clients start with one system. The first project is scoped to produce a measurable result quickly, so you can evaluate the work before committing to anything larger.

01

Free CRM health scan

We connect to your HubSpot read-only and return a branded report showing dirty data patterns, at-risk deals, and automation gaps. No commitment required.

02

Scoped first system

Based on the scan, we propose one focused system. Typical first-project range: $8,500 to $15,000 depending on scope. Usually Canon, a lead qualifier, or a campaign auditor.

03

Build, test, hand over

Built in n8n for rapid iteration, hardened in Python for production ownership. You receive source code, documentation, and a runbook. Delivery: 2 to 4 weeks.

START WITH THE FREE SCAN

How systems grow over time

Most Sidera engagements start with a single scoped system. The work that follows depends on what the business needs next. Pricing for later stages is scoped at the point it's needed, based on what the first system proves out.

LEVEL 1

Launch

  • Working application
  • Docker deployment
  • Basic authentication
  • Single-client config
Timeline Week 1
LEVEL 2

Production hardening

  • Signature verification
  • Gunicorn web server
  • Redis queue
  • Error monitoring
Timeline +1 week
LEVEL 3

Multi-tenant

  • Per-client configs
  • Usage tracking
  • Team management
  • Admin dashboard
Timeline +2 weeks
LEVEL 4

Enterprise

  • OAuth authentication
  • Approval workflows
  • A/B testing
  • SLA guarantees
Timeline +3 weeks

Ready to build something that lasts?

Sidera prototypes your system in n8n, validates it against real data, then rebuilds it as production code you own.