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Blogy AI Content Intelligence

An evidence-led operating system for modern content teams.

Client
Blogy AI
Year
2026
Primary capability
SaaS product
Proof status
verified
Full-length Blogy AI Content Intelligence homepage screenshot shown inside an interactive screen preview.
Blogy AI Content Intelligence homepage / Hover for the slow automatic tour, or use the manual controls to explore the full page inside the 16:9 screen.

Project overview

Blogy AI is presented as a connected product system rather than a collection of generation tools. Research evidence, brand knowledge, editorial decisions and production status remain visible throughout the workflow.

Challenge
Content teams needed to coordinate search evidence, brand knowledge and production while keeping the workflow understandable and reviewable.
Solution
We designed the product model, AI orchestration, editorial workspace and measurement system as one traceable content operating environment.
01

The approach

Design the evidence model before the interface.

The work began by defining what every research signal, claim, source and editorial decision needed to retain. That domain model became the shared structure for product design, AI orchestration and operational review.

02

One workspace, multiple layers of confidence.

The interface keeps research, planning and production connected while preserving clear review points for people.

Blogy AI content dashboard displayed on a desktop monitor in a modern office.
Blogy AI dashboard with article, engagement and workflow signals in one view.
Blogy AI mobile homepage displayed on a phone in the team office.
A closer view of the homepage message and conversion path.
03

A product stack built for traceability.

Technology choices support structured evidence, explicit workflow state and controlled model behavior rather than hiding the system behind a single prompt.

  • 01React
  • 02TypeScript
  • 03PostgreSQL
  • 04Worker queues
  • 05Retrieval
  • 06Model orchestration
  • 07Evaluation
04

From evidence to measurable production.

Four connected stages keep the experience understandable while giving specialist teams the depth they need.

  1. 01

    Model the work

    Define evidence, source, brand and editorial entities before shaping the screens.

  2. 02

    Validate the decisions

    Test how people inspect, approve and redirect AI-supported work.

  3. 03

    Connect the workflow

    Join research, planning, creation and optimization without silent handoffs.

  4. 04

    Observe and improve

    Preserve outcome signals so prompts, models and product behavior can evolve safely.

05

Connected system outcomes.

These values describe the delivered content architecture and its connected operating stages.

7 systems
connected in one content workflow
verified
4 stages
from evidence to optimization
verified

Client feedback

Customer feedback / verified

“The engagement showed how one connected team could move from product strategy into interface, engineering and growth without losing the original intent.”

Founder and CEOBlogy AI

Live project

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