Haseeb Annadamban
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Services

AI features for Rails products

AI development services
for Rails apps.

I help established Rails teams connect a focused AI-assisted feature to their existing data, permissions, jobs, APIs, and business logic—without beginning with a separate platform or a rewrite.

See production experience Discuss the feature

01 / Production background

Applied AI,
built with Ruby.

My Rails and AI experience are not separate tracks. I have implemented client-facing AI features in Ruby products, connecting models to real users, domain workflows, and production application logic.

Financial compliance platformRuby + AI

AI-powered compliance workflows

Built employee-compliance and vendor-due-diligence systems, integrating AI into serious operational and regulatory workflows.

Nonprofit education platformRuby + speech AI

Pronunciation and reading tools

Built pronunciation-checking and reading-enhancement tools by integrating speech-to-text AI models into the platform’s learning experience.

Current public workOpen source

Reviewable workflow tooling

Public projects demonstrate structured workflows, deterministic helpers, approval gates, tool integration, and private agent deployment.

Inspect the repositories Engineering evidence · No client-adoption claim

02 / Good fit

The product exists.
The feature is new.

This service is for teams that already have a Rails application and a specific workflow where model capabilities may add value. It is not a generic request to “add AI everywhere.”

Signal 01

Existing context

The application already contains the users, permissions, data, and business rules the feature needs.

Signal 02

Specific use

The team can describe the task, current friction, and what a useful result would look like.

Signal 03

Human owner

Someone who understands the domain can review the first version and its important outputs.

Signal 04

Bounded start

One feature can be isolated and delivered before committing to a wider AI programme.

A typical pilot

Integrate one feature.

  • Clarify the use case and completion criteria
  • Map existing Rails data, permissions, and services
  • Implement the model and application integration
  • Use background processing where appropriate
  • Keep outputs structured and reviewable
  • Document operation, limits, and handover

Not assumed

A new platform around it.

  • A rewrite of the existing Rails product
  • Multiple unrelated AI features
  • Model training or research programmes
  • Unrestricted autonomous actions
  • Guaranteed model quality or business returns
  • Infrastructure not required by the first feature

03 / Working process

Fit the feature into
the real application.

The difficult part is often not the model call. It is connecting the feature to the product’s domain rules and making its behavior understandable to the people operating it.

  1. 01

    Define

    Choose one feature, the user it serves, the current process, and a useful first outcome.

  2. 02

    Connect

    Identify the Rails models, permissions, jobs, APIs, and external tools involved.

  3. 03

    Implement

    Build the bounded feature with appropriate review points, fallback behavior, and operational limits.

  4. 04

    Handover or continue

    Document the implementation and either transfer it to the team or define the next project phase.

Engagement options

Pilot, scoped project, or contract.

A bounded feature can begin as a pilot. A feature already validated by your team may be better handled as a scoped implementation or a defined contract. I will recommend the format that matches the work.

Have a Rails product and a specific AI feature in mind?

Keep the product.
Add the useful part.

Describe the feature