291 stories
Design AI agent authorization policies with fixed rules and runtime checks. See how Airlock handles allowed operations, sensitive content, and human approval.
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.
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.
A behind-the-scenes look at the campaign system behind Quiver’s launch—from positioning and product proof to content, distribution, approvals, and measurement.
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.
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.
Compare MCP vs A2A across architecture, discovery, task state, security, and use cases, then learn when to use MCP, A2A, both, or neither.
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.
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…
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.
A practical guide to choosing a niche, packaging services, pricing projects, winning clients, and operating AI automations safely after launch.
AI Phone Agent With Live Human Handoff for Complex Calls keeps support operations leaders from losing CSAT scores to stranded caller failures.
Learn how AI email agents automate triage, drafting, sending, and follow-ups with risk-based approvals, observability, and secure inbox operations.
Behavior deviation detection, reasoning artifact capture, and adversarial prompt detection run continuously so human reviewers act on signals, not haystacks.
Most AI agent platform roundups compare frameworks, builders and runtimes as if they were the same purchase. We scored ten on one question: can it safely run real work after the demo?
By 2026, 66% of customer service organizations were using AI agents, up from 39% in 2025, a 1.7× year-over-year increase. The shift marks a change in operating design, not just a surge in chatbot experiments.
Learn how to engineer the instructions, state, retrieval, memory, tools, and evaluation that reliable AI agents need at runtime.
Unproductive meetings waste startup runway. Fix them by auditing your calendar with the 5 Ps framework and building searchable memory.
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