ConfiaTech

AI · Frontend

AI コンテンツ生成プラットフォーム

クリエイターの執筆を加速するライティングアシスタント。

ClientBotBlogrIndustryContent MarketingDuration12 weeksTeam1 PM, 2 engineers, 1 ML engineer
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BotBlogr — hero mockup

Screens

01

課題

Content creators needed faster way to produce high-quality, SEO-optimized blog posts.

02

アプローチ

Built LLM-powered pipeline with custom prompts, SEO analysis, and human-in-the-loop editing workflow.

結果

Outcomes we delivered.

  • 10x content production speed
  • 85% reduction in content costs
  • 2,000+ active users in 3 months
  • 4.8/5 average user rating
スタック
  • Python
  • OpenAI
  • Next.js
  • PostgreSQL
  • Vercel
  • Stripe

What we delivered

Capabilities shipped.

This engagement combined several of ConfiaTech's core capabilities. Each contributed a specific outcome to the final product.

  1. 01

    AI と機械学習

    Scope

    生成 AI、予測分析、NLP。

  2. 02

    フロントエンド開発

    Scope

    Next.js、React、Angular、Astro、WordPress。瞬時にロードする精緻なUI。

  3. 03

    バックエンド開発

    Scope

    Node.js、Python、Django、FastAPI、.NET。スケールと可観測性を考慮したAPIとサービス。

  4. 04

    QA・テスト

    Scope

    自動テストスイート、回帰カバレッジ、手動QAサイクルで、あらゆるブラウザとデバイスでリリースを安定させます。

  5. 05

    DevOps・CI/CD

    Scope

    パイプライン、コンテナオーケストレーション、Infrastructure-as-Codeにより、すべてのコミットを可観測性付きで安全に本番へ届けます。

How we delivered it

How this project shipped.

Every case study on this site follows the same delivery spine — the four-phase process we have refined across many production engagements.

  1. 01

    Discovery & Strategy

    1–2 weeks

    Stakeholder interviews, technical audit, success metrics, phased roadmap.

  2. 02

    Design & Prototyping

    2–4 weeks

    User research, design systems, interactive prototypes approved before code.

  3. 03

    Development & QA

    4–16 weeks

    Two-week sprints, weekly demos, automated testing, continuous deployment.

  4. 04

    Launch & Scale

    Ongoing

    Production rollout, observability, incident response, feature evolution.

Why ConfiaTech for projects like this

  • Expert engineers, end to end

    Every contributor on the engagement had at least five years of production experience. No learning on the client dime.

  • KPI-anchored delivery

    Outcomes — not deliverables — drive the roadmap. Weekly demos report progress against the metric, not against the backlog.

  • Runbooks before launch

    Production observability, incident playbooks, and handoff documentation ship with every release.

  • Continuity past launch

    The same engineers who built the product support and evolve it. Institutional knowledge stays inside the engagement.

Have a similar project in mind?

Walk us through your problem. Within one business day a expert engineer will recommend the engagement model, team composition, and timeline that maps closest to this case study.

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