Theaimart / Blog
Intelligence · Engineering · AI Economy · Research
Engineering, research and product writing from Theaimart on AI infrastructure, model APIs, app distribution and software monetization.
FeaturedAI Apps
An AI app store is a marketplace where developers publish AI-powered apps and people find, compare and open them. Here is how one works, what separates it from a general app store, and what to check before you use an app.
Latest
Distinguish an AI agent from an MCP server using architecture, tool execution, authorization and failure examples. Decide which layer your application needs.
4 min read
Understand AI app stores, the GPT Store and agent marketplaces by runtime, billing, portability and publishing responsibilities. Choose the right distribution model.
4 min read
Compare AI agent marketplaces by runtime, buyer access, publishing requirements and total task cost. Separate hosted agents from tools and discovery listings.
4 min read
Choose Mac AI apps by native integration, browser access, Apple Silicon support and offline behavior, with practical checks for permissions and total cost.
4 min read
Compare Zapier, Make and n8n for small-team AI workflows, including billing units, approvals, retries, duplicate actions and the cost of operating automations.
4 min read
Compare image-generation APIs by request model, asynchronous delivery, output quality and accepted-image cost. Includes queue, retry, storage and evaluation guidance.
4 min read
01 / ADX
Advertising infrastructure, app and web monetization, SDK engineering, and technology for publishers and advertisers.
Design an advertising request gate, audit SDK data flows and test refusal and revocation using current platform documentation and explicit integration boundaries.
5 min read
Reconcile an AI app's ad opportunity, fill and show funnel, then compare net advertising revenue with the variable cost of completed AI tasks.
6 min read
A detailed 2026 guide to AdMob alternatives for Indian app developers, comparing ad networks, mediation platforms, formats, integration trade-offs and how to measure real revenue.
37 min read
02 / AIx
AI inference, model APIs, LLM deployment and hosting, inference cost and performance, and the infrastructure behind them.
Compare speech-to-text APIs by streaming behavior, language fit, transcript quality and billing. Includes cost normalization and a production evaluation protocol.
4 min read
Build an AI app budget that includes development, model usage, hosting, support and failures, with explicit assumptions and reusable cost formulas.
6 min read
Build a constrained FastAPI chat gateway with authentication, validation, deadlines and sanitized errors, using an executable example and mocked tests.
6 min read
04 / Engineering
Rust, backend infrastructure, performance, scaling, architecture and SDK engineering — how Theaimart systems are built.
Build a bounded Rust agent with a local Ollama model, validated tool arguments, checked arithmetic and explicit failure handling. Includes runnable source and tests.
4 min read
Choose API rate-limit algorithms, run a tested Python token bucket, and understand concurrency, distributed atomicity, retries and quota boundaries.
5 min read
Build a read-only inventory MCP server with the official Python SDK v2, then test discovery, typed results, errors and actual stdio subprocess execution.
7 min read
03 / AI Apps
Building, distributing and monetizing AI applications across platforms, and the marketplaces and developer ecosystem around them.
Choose AI image generators by editing controls, typography, licensing and effective cost. Compare creative workflows without fabricated quality scores.
4 min read
Compare AI meeting assistants by capture method, reviewable summaries, participant access and data controls. Includes a pilot for checking actions and decisions.
4 min read
Choose PDF research tools by source traceability, extraction quality, OCR needs and review cost. Compare NotebookLM, Acrobat AI Assistant and Elicit.
4 min read
05 / Research
Original experiments, technical studies, benchmarks and analysis of AI and infrastructure trends.
Design a reproducible AI API latency study with explicit TTFT boundaries, workload controls, timeout reporting and a complete experiment manifest.
5 min read
Define AI API reliability with logical-request SLIs, explicit error classes, deadlines, retry accounting and a reproducible evidence packet.
5 min read
Evaluate AI application distribution using explicit attribution, activation, cohort and experiment definitions without confusing channel clicks with causal growth.
5 min read
06 / Company
Product updates, launches, announcements and stories from inside Theaimart.
A source-based explanation of Theaimart’s MDX blog pipeline, flat routes, category hubs, metadata generation and publication validation.
5 min read
Understand the separate roles of Theaimart’s AI App Store, AIx model APIs and ADX advertising, including distribution and integration boundaries.
4 min read
Browse by topic