Current thinking on trust and reliability, the two things that kill agent features.
Harrison Chase on Deep Agents, LangSmith, and Earning Trust
NVIDIA AI Podcast 2025
Watch on YouTube youtube.com →A workflow follows steps you defined, with the model filling in the reasoning slots; an agent decides its own path with tools in a loop. Workflows are cheaper, faster and debuggable, and cover most real product needs (tagging, drafting, summarising, extracting); agents earn their complexity only when the path cannot be known in advance. OpenAI and Anthropic say the same in their guides: start simple, add autonomy when a measured need appears. When you do need one, OpenAI's Agents API (also on Amazon Bedrock) runs the loop, sandbox and computer use for you.
Part of AI agents on eChai Explore.
On the AI map, 29 October 2026 Frontier models Open-weight models Decision models
20 resources.
Current thinking on trust and reliability, the two things that kill agent features.
NVIDIA AI Podcast 2025
Watch on YouTube youtube.com →A stack-level tour of what you need around the model to make agents dependable.
Harrison Chase (LangChain) 2025
Watch on YouTube youtube.com →The LangChain founder on what separates agent demos from agents in production.
Sequoia Capital (Training Data) 2024
Open sequoiacap.com →The Sierra founder on where agents genuinely outperform, from thousands of deployments.
No Priors (Sarah Guo and Elad Gil) 2024
Listen on Spotify open.spotify.com →Includes a five-question checklist for spotting low-risk, high-impact agent use cases.
Lenny's Podcast Apr 2025
Open lennysnewsletter.com →Why agents win when scoped to one vertical job rather than general autonomy.
Pigment Perspectives Jan 2026
Open pigment.com →Notion rebuilt its agent architecture five times; hear what finally worked at 100M-user scale.
Latent Space with Simon Last and Sarah Sachs (Notion) 2025
Open latent.space →OpenAI's managed agent runtime: it handles sessions, orchestration and recovery while your app supplies the tools.
OpenAI Sep 2026
Open developers.openai.com →Everything OpenAI launched for builders on 29 September 2026, including computer use in the Agents API and the Decisions API.
OpenAI Sep 2026
Open openai.com →The most-cited engineering post on agents: five workflow patterns and when a true agent is warranted.
Anthropic Dec 2024
Open anthropic.com →OpenAI's distilled deployment lessons: use-case selection, guardrails, and orchestration patterns.
OpenAI Apr 2025
Open openai.com →The manifesto that successful agents are mostly well-engineered software with LLM sprinkled at key points.
Dex Horthy (HumanLayer) Apr 2025
Open github.com →A working engineer's decision criteria with cost and reliability tradeoffs spelled out.
Towards Data Science 2025
Open towardsdatascience.com →Short and sharp: if the steps are known in advance, a workflow wins on every axis.
Redis 2025
Open redis.io →A neutral reference explainer to align your team on terminology before the build debate.
Prompt Engineering Guide (DAIR.AI) 2025
Open promptingguide.ai →How a regulated enterprise makes the call, useful discipline for any founder.
Capital One Tech 2025
Open medium.com →Brings the production data: only 23% of orgs have scaled an agent anywhere.
IntuitionLabs 2025
Open intuitionlabs.ai →The founder-flavoured argument against reaching for the harder, smarter-sounding option.
BuildMVPFast 2026
Open buildmvpfast.com →Counters the "just wait for GPT-next" excuse; the engineering around the model decides success.
VentureBeat 2025
Open venturebeat.com →The next interaction pattern: agents that act on events, with humans approving at checkpoints.
Sequoia Capital 2025
Open inferencebysequoia.substack.com →The same ground, over in Build the product, our Starting Up track.