Building Production Agents with Jev and LangGraph
See how LangGraph orchestrates Jev, TypeSafe AI's decision model, to build faster, cheaper production agents.
LangChain Blog8 min read
Human-in-the-Loop Agents
281 stories
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 readBest AI Agents for Personal Use in 2026: What to Choose and Why
Compare the best AI agents for personal use by task, autonomy, privacy, integrations, cost, and setup, with an honest framework for choosing.
Rerun Blog14 min readClaude Agent SDK: How to Build Production AI Agents
Learn how to take the Claude Agent SDK from prototype to production with sandboxing, durable sessions, permissions, observability, approvals, and recovery.
Rerun Blog15 min readAI Voice Agents Explained in 15 Minutes!
Try Superhuman Go, from the makers of Grammarly, today: http://superhuman.com/aish Voice agents are quickly becoming the most in demand AI systems. But how exactly does an AI system listen, understand, and take actions in real time without lagging?
Aishwarya SrinivasanAI Agents for Education: Teaching, Support and Administration
Education agents should expand institutional capacity without inheriting institutional authority. Use cases across teaching, student support, and administration, three detailed workflows, an action matrix, FERPA and GDPR caveats, and a staged path from shadow mode to limited autonomy.
Rerun Blog20 min readOne-on-one with your manager: How to prepare and what to ask
One-on-one meetings with your manager require preparation, the right questions, and a system to track commitments over time.
Granola Blog11 min readAutomating coherent long-form video generation
Recent advancements in video diffusion demonstrate remarkable high-fidelity generation with models that can render realistic scenes in seconds. However, while diffusion models generate high-fidelity video clips, transforming them into coherent long storytelling engines remains challenging.
Google Research Blog10 min readDeterministic rules and AI judgment: how Airlock governs agent actions
Design AI agent authorization policies with fixed rules and runtime checks. See how Airlock handles allowed operations, sensitive content, and human approval.
WorkOS Blog4 min read65 agent frameworks you can copy, each with its source. Several of the best took a rule out of the prompt.
Spotify wrote its routing rules into CLAUDE.md and Claude could ignore them; a hook that blocks whole-file reads over 350 lines could not be ignored. 65 steps, templates and file formats, each with its source, sorted by what you are trying to build.
MakersClaw Blog21 min readWhat Is AI-Native? Architecture, Products, and Real-World Examples
A practical definition of AI-native, the architecture behind it, real examples, and a 10-point test for separating genuine AI-native products from AI add-ons.
Rerun Blog12 min readHow We’re Launching Quiver With Quiver
A behind-the-scenes look at the campaign system behind Quiver’s launch—from positioning and product proof to content, distribution, approvals, and measurement.
Quiver GTM Blog14 min readIntroducing DigitalOcean Managed Agents: One AI-native stack to power your intelligence
AI agents are ready to do more. Your infrastructure should be, too. We’re introducing DigitalOcean Managed Agents, a purpose-built platform for running and scaling agentic workloads without building or maintaining the underlying infrastructure.
DigitalOcean Blog12 min readAI sales agents for sales enablement programs: the complete guide for sales leaders
AI sales agents for sales enablement programs work as governance infrastructure, not rep replacements, delivering measurable ROI. This guide shows sales leaders how to deploy agents for onboarding acceleration and cadence standardization while maintaining audit trails that survive CFO scrutiny.
Instantly Blog15 min readMCP vs A2A: Key Differences, Architecture, and When to Use Each
Compare MCP vs A2A across architecture, discovery, task state, security, and use cases, then learn when to use MCP, A2A, both, or neither.
Rerun Blog11 min readCanary rollouts: upgrade models in production without downtime
A hard model swap exposes every user at once, and rolling back means cold-starting the old deployment under pressure. Here's how staged traffic ramps, metric gates, and automatic rollback work on dedicated inference.
Together AI Blog19 min readJev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped…
Latent Space150 min readFrontier Overhangs
Pacing the frontier may be sincere, but it would also be strategically useful for the frontier labs to have time to reduce overhangs caused by model advancement.
Stratechery16 min read
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