Updated 14 September, 2026 · 2 min read
Why Most AI Projects Fail Before They Launch, and How to Avoid It
Agree a business baseline and a testable outcome before the first sprint.
Field notes
Field notes from engineers who ship AI every week
Practical perspectives on AI strategy, model deployment, GenAI architecture, and what is actually working in production. Written for builders, with the rough edges left in.
What we write about
Three threads, written for builders
Pick a thread. The posts inside the same thread compound, so reading two or three in order is more useful than one.
01Generative AI
Architecture, RAG, and copilots
How retrieval, evaluation, and tool-use actually play out in production, beyond the demo.
02Machine learning
Model lifecycle and ops
Training, evaluation, drift, and the unglamorous infra that keeps models honest after launch.
03Product engineering
Shipping AI inside real products
Frontend patterns, latency budgets, observability, the engineering layer most posts skip.
Updated 14 September, 2026 · 2 min read
From Manual to Autonomous: The First 90 Days of AI in Your Workflow
Start with one repeatable workflow and preserve a human path for exceptions.
Updated 14 September, 2026 · 2 min read
How to Build AI Features Without Burning Months (or Your Budget)
Scope a thin end-to-end feature and test it with representative inputs before expanding.
22 April, 2025 · 1 min read
The Silent Killer of AI ROI: Poor Data Foundations
Audit provenance, missing values, labels, and train–test leakage before tuning models.
10 May, 2025 · 1 min read
The AI Talent Crunch: Why Augmenting Your Dev Team Beats Hiring Alone
Define ownership and review routines before adding delivery capacity.
28 May, 2025 · 1 min read
Agents in Production: Lessons from Deploying 100+ AI Agents
Evaluate the complete tool-using workflow, including retries and approval boundaries.
12 June, 2025 · 1 min read
Compliance-Ready AI: Building Smart Without Legal Nightmares
Bring security, privacy, and relevant legal specialists into the design process early.
30 June, 2025 · 1 min read
RAG Done Right: Turning Your Company Docs into an AI Knowledge Base
Measure whether the correct authorized source is retrieved before judging the answer.
15 July, 2025 · 1 min read
The First Sprint Wins Playbook for AI Delivery
Make the first milestone an observable user journey with explicit acceptance criteria.
11 August, 2025 · 1 min read
AI in 2025: The 5 Business Models That Will Thrive
Evaluate the customer problem and unit economics before choosing a product category.
18 September, 2025 · 2 min read
AI Compute Costs Dropped 90%: What This Means for Startups Building AI in 2026
Estimate cost per completed task using current provider prices and your actual workload.
14 October, 2025 · 2 min read
Reasoning AI Models Explained: o3, DeepSeek-R1, and the New Era of Step-by-Step AI Thinking
Test reasoning models against simpler baselines on the decisions your application needs.
10 November, 2025 · 2 min read
Advanced RAG 2.0: Hybrid Search, Re-Ranking, and Graph RAG for Enterprise AI in 2026
Introduce retrieval complexity only when an evaluation set shows what the simpler system misses.
28 November, 2025 · 2 min read
EU AI Act Is Now Live: Complete Compliance Guide for Tech Companies in 2025
Check current official requirements with counsel; obligations depend on your role and use case.
15 December, 2025 · 2 min read
Small Language Models (SLMs) vs LLMs: When Smaller Is Smarter for Your Startup in 2026
Choose model size after comparing task quality, memory, latency, and operating requirements.
8 January, 2026 · 2 min read
Model Context Protocol (MCP): The Open Standard Transforming AI Agent Development in 2026
Treat MCP integration as an access-controlled system boundary, not automatic permission to act.
22 January, 2026 · 2 min read
Multimodal AI in 2026: Building Applications That See, Hear, and Reason Simultaneously
Evaluate each input modality and the combined task, including failures and missing inputs.
5 February, 2026 · 2 min read
Voice AI Agents in 2026: How Real-Time Conversational AI Is Replacing Entire Call Centers
Test noisy speech, interruptions, consent, and human transfer before automating live calls.
18 February, 2026 · 2 min read
Agentic AI Is Replacing Workflows: Multi-Agent Systems Running Entire Business Departments in 2026
Keep each agent’s responsibility bounded and make actions observable and reversible where possible.
28 February, 2026 · 2 min read
Vibe Coding in 2026: How AI Is Changing Software Development and What It Means for Your Team
Use coding assistants to support engineering judgment, not replace verification and ownership.
7 March, 2026 · 2 min read
DeepSeek vs GPT-5: Which AI Model Should Your Startup Choose in 2026?
Compare current model versions on your evaluation set; do not choose from headline price ratios.
13 March, 2026 · 2 min read
AI Security in 2026: Protecting LLM Applications from Prompt Injection and Model Attacks
Separate untrusted input from instructions and enforce permissions outside the model.
Updated 14 September, 2026 · 3 min read
Choosing an AI Development Company in Surat: A Buyer’s Checklist
Ask prospective partners for attributable project evidence, delivery ownership, and references.
20 March, 2026 · 2 min read
AI Development Cost in 2026: What Startups Should Budget for MVPs, Agents, and RAG Products
Budget for data preparation, integration, evaluation, and post-launch operation as well as development.
24 March, 2026 · 1 min read
Machine Learning Development Lifecycle: From Data Audit to Production Monitoring
Plan a lifecycle from data audit to evaluation, release, monitoring, and controlled retraining.
27 March, 2026 · 1 min read
Staff Augmentation vs Hiring In-House: How Fast-Growing Teams Should Scale in 2026
Match the engagement model to the role’s duration, specialization, and ownership requirements.
31 March, 2026 · 1 min read
Dedicated Development Team vs Freelancers vs Agencies: Which Delivery Model Actually Works?
Compare delivery models by coordination cost and accountability, not just hourly rates.
4 April, 2026 · 1 min read
SaaS Development in 2026: How to Add AI Features Without Breaking Your Product
Fit the feature to an existing user workflow and define its fallback before launch.
8 April, 2026 · 1 min read
MLOps Checklist for 2026: What Production ML Teams Need Before Launch
Version the inputs and artifacts, and define recovery actions alongside monitoring alerts.
12 April, 2026 · 1 min read
Custom Software Development for Operations Teams: When Off-the-Shelf Tools Stop Working
Start with the operational bottleneck and ownership model before deciding to build custom software.
16 April, 2026 · 1 min read
AI Chatbot Development Guide: What Makes a Support Bot Useful Instead of Frustrating
Ground support answers in current policies and make escalation an intentional part of the experience.
19 April, 2026 · 1 min read
Computer Vision Development in 2026: Where It Creates ROI Faster Than Most AI Projects
Tie visual detections to a specific action and evaluate them under real operating conditions.
22 April, 2026 · 1 min read
How AI Consulting Saves Product Teams From Expensive Wrong Turns
A useful consulting engagement produces decisions, evaluation criteria, and a delivery roadmap.