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Use an Aisle task to create a deterministic AI automation that summarizes all new commits to a project and delivers them to your team.

Connect an OpenSearch instance to an Aisle project and query your server logs in plain language using AI.

I have been talking about deterministic vs agentic AI for a while, largely with a focus on how it is more reliable. The cost conversation really makes this shine too.

Export controls suspended Claude Fable 5 days after launch. The Commerce Department has lifted them and Anthropic has redeployed the model. The retention terms have not changed, so neither has our position. Plus fourteen connectors, grouped by the function that would own them.

AI assistants and dedicated AI systems do different jobs. One makes a person faster in a session; the other runs a process for the company. Every company should run both, deliberately.

How to build a shared, multi-model prompt library for your team in Aisle - with variables, per-prompt model settings, versioning, sharing, and prompts that run across ChatGPT, Claude, Gemini, Grok, and more.

What shipped this week: a rebuilt Tasks editor with tabs, inline prompts, line-level revisions, and an AI assist; three new connectors and four updates; and two new essays from the blog.

AI does not lift teams evenly. There are two accelerations happening and they are not the same thing. One has a ceiling and a shelf life. The other compounds.

A big iteration on the Tasks editor: tabs for files and prompts, a redesigned sidebar, dirty-state indicators, enhanced revision logs, and an AI assist button.

An X agent built on Aisle that drafts posts and replies, queues them for review, and rewrites its own instructions weekly based on what I approve and reject. It earns autonomy instead of starting with it.

Three ways to build the same automation on Aisle - a two-prompt workflow, a single-prompt workflow, and a native Python Task - and what each one cost in tokens, effort, and maintenance.

Anthropic released Claude Fable 5. It's available in Aisle today, shipped turned off, because Anthropic now retains 30 days of usage on this model regardless of your agreement.

Tasks lets you build AI workflows in Python and run them on a managed runtime. No servers to provision, no infrastructure to wire up.

Tasks are Python scripts that run on Aisle. The runtime supplies the schedule, credentials, retries, prompts, memory, integrations, and audit trail. Live in Aisle today.

Agents are impressive - but once you've run them in production long enough, the trade-offs become clear. Different decisions each run, off days, model personality shifts, and maintenance overhead. Here's how to think about it.

In this video we show using the Playgrounds feature to compare the responses of different models - such as Opus 4.6 and GPT 5.4 - along with different prompt settings.

Anthropic shipped Claude Opus 4.8 today. It's already in Aisle - no setup required.

Workflow canvases fit analysts building reports before LLMs existed. That fit ended when those analysts started using AI assistants. The problem is the canvas shape itself, not its size.

Deterministic vs Agentic, and where your org actually sits on the curve. Two vectors I use to figure out which AI bets are worth making and which ones are giving a dog a gun.

Projects can now export chats and RAG results to PDF or CSV, accept inline file uploads, and surface execution logs. Mixpanel MCP is live, and Memories got a UX refresh.

Most people are treating AI as one thing. It's three different bets with three different risk profiles. The order you take them in matters more than the bets themselves.

Use the Aisle memories feature to create an on the fly, searchable AI RAG database that extends past usual context limits. Upload hundreds of documents including PDF, PPT, DOC and then chat with your data.

The old SaaS moats - accumulated codebases, big teams, hard-won velocity - don't hold up in 2026. The real moat now is how you design your processes, software, and offerings for the new world.

In this tutorial, Mitch takes us through the Aisle Projects feature - how to bundle prompts, workflows, MCP connectors, and knowledge bases into a single agent-run workspace.

Projects puts every Aisle feature into one workspace that an agent orchestrates.

How much time do you spend on prompt structure? Mitchell takes us through a quick demo of the Aisle Prompt Builder, which takes a natural language task description and fleshes it out into the Aisle preferred prompt structure, complete with variables and output structure.

Strong headlines, trickier token math. Compare Opus 4.7 next to what you already run.

It's like Infrastructure Week... But better!

Upload documents, let Aisle index them, and query them from chat, prompts, and workflows in one place. Semantic search, vector descriptions, and real team use cases.

How to build a prompt in Aisle from scratch. Mitch walks through the Prompts feature: setting up a prompt, configuring structured outputs, and deploying it to your team.

All 14 Grok models from xAI, native X Search, Grok 2 Vision, Grok Imagine, and six new image generation options. Let’s get into it.

This week: live news feeds in workflows, a new GPT model, scripts on HTTP endpoints, GitHub and Bugsnag webhook triggers, and two quality-of-life fixes for long-running workflows.

Two people, a model, and one conversation. Plus versioning, Asana, Supabase, and a mobile refresh.

Google Maps integration (geocode, places, distance, timezone), a new Template node, Google Docs markdown formatting, duplicate workflows/nodes, Condition node booleans, and SRT file support in chat.

Python support in workflow scripts, a Script Generator, file inputs for Prompt Builder, Document Splitter format expansion, and three new integrations.

Looking for an n8n alternative? This article compares n8n and Aisle across hosting, prompt management, team chat, and workflow automation so you can decide which fits your team.

Claude Sonnet 4.6 is live in Aisle. Faster and smarter. Plus 30 new workflow variable operations: math, strings, arrays, objects, dates, and a Switch node. Build automation without extra code. Try it in Aisle.

Use Aisle Prompts in Claude Code, Cursor, and Copilot via MCP. Claude Opus 4.6 same-day release, plus memories with JSON blocks for structured data. Build once, deploy everywhere.

Run Aisle Prompts in Claude Code, Cursor, Copilot, and any MCP-compatible editor. One prompt library, every IDE. Changes deploy instantly. No lock-in.

New models in Aisle: Perplexity and DeepSeek R1. Redesigned workflows and Playgrounds, plus Fireflies and Mixpanel integrations. Test and deploy from one place.

How to write effective AI prompts using prompt engineering best practices. Step-by-step guide: anatomy, variables, model settings, and deployment from scratch to production in Aisle.

Aisle chat updates: view context limits, render charts and flowcharts in chat, and use Memories via MCP. Build and share AI context across tools.

How to summarize a YouTube video with AI and extract YouTube transcripts. Build one workflow, run it on any video. Step-by-step with Aisle and Supadata.

GPT 5.2 in Aisle, Prompt Builder generally available, and Connectors Directory for workflow and MCP visibility. Build and manage prompts and integrations in one place.

Structured JSON outputs for prompts, Prompt Assistant beta, and MCP streaming in Aisle. Guaranteed response schemas and real-time workflow steps.

Claude Opus 4.5 and Gemini 3 in Aisle. Playgrounds overhaul with streaming, MCP per column, and document splitting in workflows.

GPT 5.1 in Aisle, Gmail as a workflow trigger, and dedicated workflow view page. Trigger automations from email and see execution context at a glance.

Custom icons for Aisle workflows and prompts, stop button in chat, faster logs, and Supabase integration. Better control and visibility.

Gemini in Aisle, variable store and workflow debugging, memories in prompts, files in Playgrounds. Plus platform redesign and mobile preview.

Return nodes, multi pluck, Gmail/Reddit/Jira integrations, and reliability improvements in Aisle workflows. Build time-aware automations and multi-entry workflows.