AI app development · LLM products · Automation
AI app development that treats the model as one part of a production system.
Social Linker builds AI-enabled web and mobile applications where language models, retrieval, structured outputs, automation, or agent-like workflows solve a specific product problem. We focus on the surrounding system too: data access, permissions, prompts, evaluations, review states, fallbacks, analytics, cost controls, and user experience.
AI assistants
Build task-focused assistants for support, research, internal knowledge, product guidance, or workflow help with clear permissions and failure states.
Retrieval & knowledge apps
Connect approved documents or data sources to search and answer experiences with citations, source boundaries, and update-aware retrieval.
Structured AI workflows
Use models inside repeatable processes for extraction, classification, drafting, summarization, routing, or review rather than relying on an open-ended chat box.
AI product integrations
Connect model providers, existing APIs, authentication, databases, analytics, queues, and human-review steps into one product workflow.
What the work includes
A useful scope, not a keyword-shaped package.
The exact implementation depends on the product, users, technical constraints, and business goal. These are the outcomes we optimize for when they are relevant to the project.
Process
01
Define
Choose the user problem, acceptable failure modes, source data, output contract, evaluation criteria, and where human review is required.
02
Prototype
Test prompts, retrieval, tool use, latency, output quality, and UX with representative examples before hardening the system.
03
Integrate
Build the product flow around models, APIs, data, permissions, observability, and application state.
04
Evaluate
Run repeatable test cases, inspect failures, add guardrails and fallbacks, and monitor quality, latency, and cost after launch.
FAQ
Do you build ChatGPT-style apps?
We can build conversational interfaces, but the product does not have to be a generic chatbot. Many useful AI products are structured workflows with search, forms, review steps, and controlled outputs.
Can you use OpenAI, Gemini, Anthropic, or other model providers?
Provider choice depends on the product, required capabilities, cost, latency, data handling, and current API availability. The architecture can be designed to reduce unnecessary provider lock-in where practical.
Can you connect private company documents to an AI app?
Yes, when the access model is appropriate. Retrieval can be built around approved data sources, permissions, source metadata, and clear handling of missing or conflicting information.
How do you reduce hallucinations?
There is no universal switch that eliminates model errors. We reduce risk with scoped tasks, retrieval, structured outputs, deterministic checks where possible, evaluations, citations, review states, and fallbacks matched to the use case.
Related services
Need this capability inside a larger website or product build?
Social Linker can combine strategy, UI/UX, development, integrations, technical SEO, QA, and launch support in one remote workflow for teams in India and worldwide.
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