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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

13 articles
Developer

LangChain Open-Sources the Paid Media Agent It Uses to Run Its Own Ads

LangChain has open-sourced the internal Paid Media Agent it uses to run its own advertising, detailing the build in a September 13, 2026 blog post. The Slack-based agent combines ad-platform data with warehouse lead and pipeline data weekly, posting summaries and branded PDFs. LangChain reports paid media grew from 0 to 20% of marketing pipeline in six months, a 30% drop in cost per qualified lead from June to August, and roughly $5K per month saved by replacing agency analysis.

Sep 1814 minNeura News
Developer

LangChain's Paid Media Agent Took Paid Ads From 0 to 20% of Marketing Pipeline in Six Months

LangChain published a case study on its internal Paid Media Agent, which it says took paid media from 0 to 20% of marketing pipeline in six months, cut cost per qualified lead 30% from June to August and saved about $5K per month by moving analysis in-house. The long-running Slack agent combines ad-platform and warehouse data, posts weekly reports and PDFs, and proposes keywords, targeting and ad copy. LangChain open-sourced the agent and will host a webinar on September 23.

Sep 1815 minNeura News
Developer

LangChain Open-Sources the Paid Media Agent That Took Its Marketing Pipeline From 0 to 20% in Six Months

LangChain has open-sourced the Paid Media Agent it built for its own marketing team, publishing an engineering writeup on September 13, 2026. Paid media went from 0 to 20% of marketing pipeline in six months, cost per qualified lead fell 30% from June to August, and in-housing analysis saved about $5K per month. The Slack-based agent ships with ad-platform tools, paid media skills, a sample wiki, reporting, and approval workflows.

Sep 1813 minNeura News
Developer

LangChain's Paid Media Agent Cuts Weekly Reporting Cost 40x and Runtime 13x

LangChain published a blog post on September 13, 2026 detailing its internal Paid Media Agent, which cut the cost of its weekly reporting workflow by 40x and made it 13x faster. The open-sourced agent runs in Slack every Monday, combining ad-platform data with warehouse pipeline data, and moved calculations from the model into deterministic Python code. Runtime dropped from 18 minutes to 85 seconds.

Sep 1811 minNeura News
Developer

LangChain Open-Sources Paid Media Agent, Reports 30% Lower Cost Per Qualified Lead

LangChain has open-sourced its Paid Media Agent, publishing a technical deep-dive on its architecture, context design, tool discovery, isolation, and approval workflows. The agent runs weekly in Slack, combining ad-platform data with warehouse pipeline data to report on ad spend. LangChain reports paid media grew from 0 to 20% of marketing pipeline in six months, with cost per qualified lead down 30% from June to August.

Sep 1611 minNeura News
Developer

Harrison Chase: Companies Must Own Their Intelligence, Not Rent It

LangChain published a strategy essay by Harrison Chase on July 25, 2026, arguing that companies will not build lasting advantage on generic AI alone. Chase defines owning intelligence as control over the model, harness, and context layers of an agent system, plus the economics, quality, boundaries, and observability needed to manage it. He contends that company-specific details never live in a generic model's weights, so the durable advantage comes from intelligence adapted to a specific business.

Sep 167 minNeura News
Developer

LangChain Open-Sources the Paid Media Agent That Took Its Pipeline From 0 to 20%

LangChain has open-sourced the Paid Media Agent it built to run its own advertising campaigns, reporting that paid media went from 0 to 20% of its marketing pipeline in six months. Cost per qualified lead fell 30% from June to August while monthly spend rose about 60%. The agent lives in Slack, posts weekly reports, and proposes campaign changes that require human approval before any ad platform is touched.

Sep 1612 minNeura News
Developer

LangChain's Deep Agents v0.7 Cuts Token Use by 65% With Leaner Prompts

LangChain released Deep Agents v0.7 on July 29, 2026, an open-source agent harness update that cuts base input tokens by 65% on a default-agent turn, from roughly 6,000 to about 2,000 tokens. The release trims the built-in prompt, shortens tool descriptions, and makes the todo list middleware optional. It also adds middleware configurability and filesystem improvements that users have requested for months.

Aug 36 minNeura News