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All servicesAvailable for select projects
Applied AI & workflow automation
Add AI Where It Improves the Product—not Just the Pitch
I design and integrate AI features that work inside real software workflows, from document analysis and scoring to assisted dashboards and multi-step business automation.
AI implementation grounded in user value, structured outputs, operational safeguards, and realistic model limitations.
01 / The real problem
An AI demo is easy; a dependable product workflow is not
Teams often start with a model API and only later confront the harder questions: what context to send, how to validate outputs, where humans stay involved, and how the feature fits the rest of the product.
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AI is added without a clear user decision or workflow it should improve.
02
Prompts return inconsistent output that downstream features cannot safely use.
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Manual handoffs remain because the model is not connected to business systems.
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Cost, retries, privacy, review steps, and failure states are ignored during the prototype phase.
02 / What I can build
A clear, usable scope—not a vague capability list.
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Document and transcript analysis
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AI scoring workflows
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Proposal drafting automation
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AI-assisted dashboards
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n8n automation workflows
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OpenAI, Gemini, and Anthropic integrations
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LangChain and LangGraph workflows
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Structured outputs and human review steps
03 / Relevant technology
The stack follows the work.
Technology choices are matched to the scope, existing systems, and delivery constraints—not added to make the list longer.
AI platforms
OpenAIGeminiAnthropic
Orchestration
LangChainLangGraphn8n
Product layer
Next.jsTypeScriptNode.jsPostgreSQL
04 / How the work moves
A defined path from scope to handover.
Discovery Call
We discuss the goal, requirements, users, workflows, timeline, and technical direction.
Scope & Architecture
I define the core features, data structure, integrations, user flows, and delivery plan.
Build & Integrate
I develop the frontend, backend, APIs, AI workflows, dashboards, and required integrations.
Test, Launch & Handover
I test the workflows, help with deployment, document the setup, and hand over the project clearly.
05 / Engagement options
Start with the scope that fits where you are now.
These are scope guides, not instant quotes. The final plan depends on requirements, existing systems, integrations, and delivery risk.
Validate one use case
AI Feature Pilot
For testing one well-defined AI feature inside an existing or lightweight product flow.
Typical timeline
2–3 weeks
Scoped after discovery
- Use-case definition
- One model integration
- Structured prompt flow
- Basic UI
- Output review
Scope note: One primary input/output workflow with limited external integrations.
Connected product feature
Workflow Integration
For AI that needs product context, business rules, storage, and external systems.
Typical timeline
4–7 weeks
Custom project quote
- Multi-step workflow
- Model and API integrations
- Stored outputs
- Human review states
- Operational error handling
Scope note: Model performance depends on the available data and agreed acceptance criteria.
Advanced automation
AI Operations System
For multi-stage AI and automation workflows used across a business process.
Typical timeline
7+ weeks
Phased engagement
- Workflow orchestration
- Multiple data sources
- Approval and audit states
- Monitoring hooks
- Technical documentation
Scope note: Complex integrations and production monitoring are planned in phases.
06 / This service is best for
A strong fit when the outcome is clear.
- Product teams adding a purposeful AI feature
- Businesses automating document-heavy workflows
- Teams building AI-assisted internal dashboards
- Agencies needing AI implementation support
- Operations teams connecting AI with n8n workflows
07 / Relevant experience
Relevant AI and automation experience
Relevant work includes AI call and transcript analysis, compliance-oriented tools, HR matching workflows, proposal generation with review steps, lead routing, and AI-assisted dashboard experiences. Details are presented carefully where client work is confidential.
Transcript analysisProposal automationAI scoringHuman review
Explore project work08 / Common questions
Clear answers before the first call.
If your question is specific to an existing product or technical constraint, bring it to the discovery call.
AI Product Features & Automation
Ready to discuss this project?
The best next step is a short call. We'll review your idea, technical requirements, timeline, and the right way to build it before committing to development.