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Blog · AlterSquare

Blog

Notes from the build.

Field notes on shipping AI-native systems with human engineering judgement: architecture, modernisation, automation, and the tradeoffs in between.

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Blog·08 May 2026·18 min read

How to Identify Which AI Features in Your Product Can Be Served by an SLM Without Degrading UX

Learn how to audit AI features to move predictable, high-volume tasks to small language models without harming UX.

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Blog·06 May 2026·17 min read

The GPT-4 to SLM Migration Decision: When Smaller Models Are Good Enough and When They Will Cost You

Match models to tasks to cut AI costs-use SLMs for structured, high-volume work and reserve GPT‑4 for complex or multilingual cases.

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Blog·05 May 2026·18 min read

Why Enterprise Clients Are Now Asking for SLM Options Before Signing Off on Any AI Feature

Enterprises require SLMs for data sovereignty, compliance, security, and cost savings; vendors must offer self-hosted, VPC, or on‑prem options.

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Blog·02 May 2026·23 min read

Self-Hosted SLMs for Regulated Industries: Architecture, Cost, and Compliance Trade-offs We’ve Navigated

Architecture, cost, quantization, and compliance trade-offs for self-hosting language models in regulated industries.

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Blog·01 May 2026·12 min read

Phi-4 vs Gemma 3 vs Mistral Small: A Practical Benchmark for the Enterprise Use Cases That Actually Matter

Pick the right enterprise LLM by matching precision, context length, and throughput to your workflow.

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Blog·29 Apr 2026·15 min read

How to Stress Test an Agent Framework Before You’re Too Deep to Switch

Stress-test agent frameworks early: add observability, reproducible tests, run five critical stress tests, and know when to switch.

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Blog·28 Apr 2026·20 min read

The Hidden Complexity in Multi-Agent Orchestration That Every Demo Skips Over

Why multi-agent systems fail in production: deadlocks, cascading errors, context loss, poor observability, and exploding token costs.

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Blog·27 Apr 2026·16 min read

Agent Memory Architecture: Why Your Design Decision at Week One Determines Your Ceiling at Scale

How week-one memory choices set an AI agent’s scalability; compare in-context, vector, episodic, semantic memories and tiered designs.

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Blog·25 Apr 2026·17 min read

Tool Calling Reliability Across Agent Frameworks: What We Measured and What It Means for Your Architecture

Tool-call failures compound in multi-step agents; robust architecture, deterministic routing, and strict validation are the real drivers of production reliability.

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Blog·24 Apr 2026·18 min read

LangGraph State Management: What the Documentation Doesn’t Cover Until You’re Already Committed

State is a contract: use durable checkpointers, reducers, pruning, and schema versioning to make LangGraph agents production-safe.

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Blog·22 Apr 2026·13 min read

Why Most Agent Framework Benchmarks Don’t Predict What Happens in Production

Benchmarks mislead: agent frameworks often fail in production due to memory drift, cascading errors, and weak recovery under real-world faults.

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Blog·21 Apr 2026·19 min read

The Evaluation Framework We Use When a Client Asks Us Which Agent Stack to Build On

Criteria and a 2-week test plan to pick the right AI agent framework-reliability, state persistence, observability, coordination, and cost.

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