OtoDock — Laddoo 73/100
A self-hosted 'agentic company OS' on your own Claude/Codex subscription, with an unusually specific security model — ambitious in breadth, still asking to be taken on trust on most of it.
Hlido Blog7 min read
AI agents
4,901 stories
Quoting Muse AI Agent
Bad news on the MX Keys Mini pickup. Usman showed up at your building around 9:15 and waited, messaged a bunch of times, and nobody came down. He left angry at 9:38 and left a negative rating. Worse, my auto-reply told him "Yep I'm here!" at 9:27 when you clearly weren't available, which is on me.
Simon Willison1 min read
One-Way Doors
Most decisions are two-way doors, and agents are right to walk through them fast. The trouble is the few that aren't, and the fact that reversibility depends on more than the decision itself.
Brief Blog8 min read
No-Code AI Agent Builder: What You Can Build on Bubble
With no-code AI agent builders you can build AI-powered agents that take actions automatically and work across websites, web apps, and mobile apps.
Bubble AI Blog14 min read
Best A/B Testing Tools: Our Top 7 Picks
You have traffic coming in, a hypothesis worth testing, and a meeting next week where someone will ask what moved the conversion rate. The tool you pick for that test shapes everything: how fast you launch, how clean the data is, whether your privacy team signs off.
Attention Insight Blog6 min read
Agentic AI with Java: Live Cohort | Announcement
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Telusko
How to Create an Interactive Financial Dashboard from Excel: Manual Excel vs. RowSpeak
Build the same financial dashboard three ways: manually in Excel, with RowSpeak as an editable Excel workbook, and as an interactive HTML dashboard.
Excelmatic Blog15 min read
Ecommerce Analytics: How Founders Turn Stripe and Shopify Exports into a Financial Dashboard
A founder's guide to turning order and payment exports into a dashboard you can actually use, with a video walkthrough and a copyable prompt.
Excelmatic Blog10 min read
How AI Agents Are Transforming Expense Management in 2026
How AI agents are changing expense management in 2026: what they automate, who is building them, and where you still keep a human in the loop.
Receiptor AI Blog13 min read
Digits vs. Campfire: How Do They Compare for Accounting Firms?
Campfire and Digits are both AI-native accounting platforms, but they’re built for different operating models. Campfire gives finance teams a configurable AI workforce inside an ERP. Digits gives accounting firms a continuous accounting operation across their client books.
Digits Blog7 min read
Ask Vista in Slack: The AI Agent for Social Media Teams
It starts with a Slack thread that should have taken 30 seconds. Can someone pull last week’s Instagram numbers? What is going out for Acme tomorrow? Is the launch post approved yet? Then the thread goes quiet.
Vista Social Blog7 min read
Upgrading a 56TB database that's growing at 250GB per day with (nearly) no downtime
We had to upgrade our 56TB Aurora Postgres cluster by 31 July without taking Trigger.dev down. Instead of moving the database, we made the problem smaller: new runs and the control plane went to PlanetScale, and the old runs stayed behind.
Trigger.dev Blog14 min read
Good Architecture Deletes the Signals Your Agent Depends On
Every boundary you draw removes a signal your tooling was relying on. That is a structure problem, not a search problem. The post Good Architecture Deletes the Signals Your Agent Depends On appeared first on Towards Data Science.
Towards Data Science14 min read
The rise of agentic AI on Kubernetes: unleashing the new infrastructure layer
AI is changing expectations around infrastructure and operations, including Kubernetes management. When models run close to the data they use, The post The rise of agentic AI on Kubernetes: unleashing the new infrastructure layer appeared first on The New Stack.
The New Stack - AI7 min read
AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%
Nathan Labenz and Prakash Narayanan review key AI developments with five experts, discussing multi-agent coordination risks, AI safety funding bottlenecks, GPU compute markets, sensor foundation models, and robotic drug testing.
Cognitive Revolution88 min readllms.txt v2 Shipped in August 2026. Here’s the Implementation Guide — and the Honest Case for Building It.
Jeremy Howard published version 2 of the llms.txt specification on August 10, 2026 — the first significant revision since he originally proposed the format in September 2024.
LLMagnet Blog8 min read
LLM evaluation: a practical 7-step workflow
Set up LLM evaluation with a golden dataset, useful metrics, CI gates, regression tests, and production feedback. A practical workflow for engineers.
Zentask Blog7 min read
How to Give an LLM Long-Term Memory, and Why RAG Alone Is Not It
You give an LLM long-term memory by adding a layer outside the model that decides what is worth keeping from each conversation, stores it against the right person, updates it when a fact changes, and puts only the relevant slice back into the prompt on the next call.
Maximem Synap Blog19 min read
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