12 October 2026 · Will Hardman
Misplaced Trust: How Research Agents Judge Credibility
How do research agents decide what content is credible? Can we trust them to judge their sources wisely? And if not, can we fix it?
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Field notes on agentic AI, deep research agents and getting from pilot to production — written by the Veratai team.
9 April 2026 · Will Hardman
How to design a Deep Research Agent (that’ll actually work)
Here's an unfashionable opinion in 2026: most of the work of building a good agent has nothing to do with the agent. It's data curation, eval design, workflow mapping, and arguing about schemas. The coding bit is maybe 20% of the task. This blog covers a good chunk of the remaining 80%.
23 January 2026 · Will Hardman
How to create a Self-improving AI agent
If you’re developing an AI agent and you want it to improve itself with usage, this post is for you.
30 December 2025 · Will Hardman
How to Kick Off a Deep Research Agent Build
Our experience shows that the most successful Agentic AI projects begin with specific preparation steps. In this blog, the first in our series on how to build AI agents, we're going to take a look at Veratai's process for designing deep research agents for the enterprise.
4 December 2025 · Will Hardman
How to build a research agent for your team
At Veratai, we've been building AI agents for organisations that want to automate complex information gathering workflows. Here is our five-phase methodology for reliably delivering working systems rather than expensive proof-of-concept graveyards.
21 October 2025 · Will Hardman
DIY Deep Research Agents
“Deep Research” is one of the breakout agentic use cases of 2025. Having run well over a hundred deep research tasks and built three custom agents for clients, here are the eight factors that decide when “rolling your own” research agent is the superior choice.
10 October 2025 · Will Hardman
Why is AI like Interstellar Travel?
The Incessant Obsolescence Postulate says that any spacecraft you launch today risks being overtaken by a future one. AI adoption faces the same dilemma: deploy now, or wait for better models? Here’s why, in most cases, you should launch now.
24 September 2025 · Charlie Anderson
Pick the right problem: How to Avoid AI Project Failure
Artificial Intelligence is no longer a sci-fi dream — it’s woven into the fabric of modern business. But here’s the catch: as many as 95% of generative AI projects fail, especially in sales and marketing. So how do you ensure yours lands in the 5% that succeed?
4 September 2025 · Will Hardman
Picking your agentic AI toolset: a guide for the perplexed
In this essay I’ll compare three real-world agentic AI platforms - n8n, Lindy and CrewAI. They neatly represent different points on the “agentic” spectrum: the agent-on-rails (n8n), specialised (“assistant-like”) agents (Lindy) and the high autonomy, multi-agent toolkit (CrewAI).
1 September 2025 · Will Hardman
How to find your best AI Automation opportunities
In this post, we introduce a simple, 2x2 matrix that we use to triage and organise AI automation opportunities. It will help you to determine which ideas to pursue and how to get going.
14 January 2025 · Charlie Anderson
4 ways companies that value their customers should use AI (and 4 to avoid!)
Consumers are becoming wise to “AI slop”. For companies that put the customer experience first, here are four ways we recommend using AI – and four to avoid.
7 January 2025 · Will Hardman
Podcast: Deep Dive into Vision Language Models (VLMs)
Over Christmas, Nathan Labenz and our Data Science Director Will Hardman spent 4 hours doing an extended deep dive into Vision Language Models (VLMs) on Nathan’s awesome podcast, The Cognitive Revolution. The podcast can be found on The Cognitive Revolution website, or wherever you get your podcasts.
9 December 2024 · Will Hardman
Developing an AI Strategy: Analysis & Synthesis
Analysis & Synthesis is the third (and final) stage of Veratai’s methodology for developing AI strategies. How can you take a list of ideas and turn them into a winning strategy? We explain the alchemy of the process in this blog.
25 November 2024 · Will Hardman
#The_Deep_End: Alignment post-training for LLMs: lessons learned making it work
Alignment post-training is the art of getting an AI model to complete tasks in a way that meets the criteria of its users. In this blog, I document what I learned getting this process to work for a production-grade LLM.
11 November 2024 · Will Hardman
Developing an AI Strategy: Effective Research
The second post in our series on developing an AI strategy covers Research & Ideation: how to build background knowledge, ask the right questions, find and evaluate good sources, and develop a long-list of big ideas.
9 October 2024 · Will Hardman
The first step toward an AI strategy: good stakeholder interviews
Good stakeholder interviews are the first - and perhaps the most critical - step in developing an Enterprise AI Strategy. Learn how to do them successfully in this blog post.
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