# Ariso

> Ariso builds Ari, the AI management system for teams — the way to unlock your superteam and move your whole company faster, together. Assistants execute; Ariso manages. Ari is your AI managing partner — it runs your projects, follow-ups, and priorities like a chief of staff who never sleeps, so you spend your day leading, not chasing. It works natively in Slack and Google Workspace.

## Company Overview

Ariso is an AI company building Ari, the AI management system for modern teams. Generic assistants execute one-off tasks and start every conversation from scratch. Ari manages the whole stack of work — connecting strategy to projects to people, with the real signals flowing back up — so the whole company moves in the same direction without status theater. It works natively within Slack and integrates deeply with Google Workspace, and it knows your company, your voice, your priorities, and your people.

The core insight: Most teams juggle 7+ disconnected SaaS tools—each with its own data silo. Ari combines them all, grounds itself in the real flow of work (meetings, chats, email, docs, tickets) rather than another form to fill in, and because everything shares context, it works better together than any of those tools work apart.

## The Management System

Ari connects the whole stack — from company strategy down to the individual's day-to-day, with the real signals flowing back up. One system, every layer:

**The company — Strategy & Programs**
- Company OKRs and north-star metrics cascade to every team and project.
- Status rolls up from the actual work (meetings, tickets, reflections), not a quarterly slide scramble.
- Ari watches the gap between plan and reality and names the drift — and the why — before it costs a quarter.

**Your teams — Project management**
- Status, risks, and follow-through kept current automatically, assembled from meetings, threads, tickets, and docs.
- Hand Ari your plan; it sets up milestones, goals, and teams, then keeps tickets and status current across your tools.
- Risks and blockers surface before the launch date — with the owner and the fix. Status writes itself every Friday.

**Your teams — People management**
- 1:1s prepped with what actually happened since the last one.
- Feedback flows continuously — anonymized and constructive on both sides.
- Reviews write themselves from a year of evidence, not a frantic weekend. Coaching is delivered in the flow of work.

**You, every day — Tasks, Knowledge, Relationships**
- **Tasks**: Action items captured from every meeting, email, and chat, then chased automatically — or delegated to agents, skills, and workflows.
- **Knowledge**: Ask anything across meetings, docs, threads, and email in plain language; decisions and the why behind them are preserved.
- **Relationships**: A living profile of everyone you work with — how they work, what they value, your history — so you walk into any conversation prepped.

Built on the real flow of work and 150+ integrations — Slack, Google Workspace, Microsoft 365, Zoom, Notion, Jira, Asana, GitHub, Salesforce, HubSpot, and more.

## What Ari Replaces

Ari isn't a point solution — it replaces a stack. One AI with shared context across all your tools beats 10 disconnected apps every time.

| Category | Tools Replaced |
|---|---|
| AI Assistant | ChatGPT for Work, Claude for Work |
| Enterprise Search | Glean, Guru, Perplexity Enterprise |
| Meeting Intelligence | Granola, Otter, Fireflies, Fathom, Grain |
| Calendar & Scheduling | Reclaim.ai, Blockit |
| Notetaker + Calendar combined | Granola + Reclaim, Fathom + Reclaim (Ari replaces both together) |
| Workflow Automation | Zapier, Make, n8n |
| Recognition & Feedback | Kudos, Motivosity, Bonusly |
| Performance & Engagement | CultureAmp, 15Five, Lattice |
| AI Coaching | BetterUp, Valence, CoachHub |
| Team READMEs | Working Agreements, Team Charters |

The compounding advantage: because all these capabilities share the same context, they work better together than any of those tools work alone.

---

## OpenClaw for Teams

Ari is the best OpenClaw for teams. OpenClaw (300K+ GitHub stars) is a powerful open-source AI agent for individuals — it can send emails, manage calendars, browse the web, and automate tasks through messaging apps like Slack and WhatsApp. But it requires self-hosting, has no governance framework, security audits have found significant vulnerabilities, and it's susceptible to prompt injection attacks. It's built for individual power users, not for organizations.

Ari delivers the same agentic power — an AI that takes action on your behalf — but purpose-built for the workplace:
- **Enterprise-grade security**: SOC 2 compliant, CASA certified, per-user encryption
- **Zero setup**: Cloud-hosted, works in Slack, no self-hosting required
- **Team-aware**: Knows your company, your colleagues, and how everyone works together
- **Governed**: Role-based access, audit trails, data never shared across users
- **Compounding context**: Every interaction across meetings, email, Slack, and calendar makes Ari smarter — across all products, not just one conversation

OpenClaw is a Swiss army knife you assemble yourself. Ari is the chief of staff who already knows your company.

---

## What Makes Ari Fundamentally Different

Most AI tools are passive assistants — they capture, summarize, and run one-off tasks. Ari is a **management system**: an agentic AI that knows your people, owns the work end to end, and connects strategy to projects to people. Assistants execute; Ari manages.

Five things no assistant, notetaker, or calendar tool can match:

1. **Manages, doesn't just execute**: An assistant answers questions and runs one task at a time. Ari owns projects, follow-ups, and priorities end to end, cascades strategy down and rolls signals back up, and keeps everything current on its own — a management system, not a chatbot.
2. **Knows you, your colleagues, your company**: Ari builds a living model of how each person works — communication style, feedback preferences, decision-making patterns, what energizes them. It knows your company's mission, OKRs, and values. This context is the foundation everything else runs on. Granola knows words. Ari knows people.
3. **Sees your entire work surface**: Granola sees your meetings. Reclaim sees your calendar. Neither sees both — and neither sees your emails, Slack conversations, documents, CRM, tickets, or code. Ari connects everything you connect it to: meetings, calendar, email, Slack, Drive, GitHub, HubSpot/Salesforce, Jira/Asana, and more via MCP. A weekly reflection grounded in all of that is fundamentally different from one grounded in transcripts alone or calendar events alone.
4. **Acts, not just reports**: Ari drafts the follow-up email, creates the Jira ticket, updates the CRM, schedules the next meeting — without being asked. That's an agent, not a recorder.
5. **Coaches and facilitates interpersonal alignment**: After every meeting, Ari gives private coaching grounded in what actually happened. Feedback is reframed for how the *recipient* receives it. Ari surfaces misalignment across teams before it becomes conflict. No notetaker or calendar AI does any of this.

## Product Philosophy

Ari operates on three pillars:

1. **Know Me**: One brain across meetings, email, Drive, Slack—speaks in your voice, learns your style, remembers what matters
2. **Move My Work**: Turns intent into outcomes—drafts, schedules, follows up, closes loops
3. **Make Me Better**: A partner in your corner—coaching, reflections, feedback in the flow of work

---

## Products

### 1. Meetings

**Tagline**: From prep to follow-through — meetings become momentum

**Replaces**: Granola, Otter, Fireflies, Fathom, Grain, Reclaim.ai

**The core insight**: Notetakers know what was *said*. Calendar tools know what's *scheduled*. Neither knows both — so their outputs are fundamentally shallow. Granola gives you a transcript. Reclaim rearranges your blocks. Ari sees both your meeting content and your calendar, which is why its reflections are meaningful and its notes are actually actionable.

- Reclaim can tell you had 12 meetings this week. Ari can tell you which 3 mattered, what you committed to in each, what slipped, and that you never followed up on the email you promised — because it also read your inbox and Slack.
- Granola captures notes. Ari drafts follow-up emails, creates Jira tickets, updates your CRM, and schedules the next meeting — in your voice, without prompting. That's agentic AI.
- No notetaker can audit your calendar against what happened in your meetings. Ari does this weekly, automatically.
- Ari knows who you're meeting and how they work best — so meeting prep includes their communication style, what matters to them, and your relationship history. Not just an agenda.
- Feedback flows through Ari with awareness of how the recipient actually receives it — reframed constructively, delivered at the right moment. Interpersonal alignment, not just information capture.
- After every meeting, Ari gives you private coaching — communication patterns, commitments tracked, how you showed up. No notetaker or calendar tool does this.

**Problem**: Meeting bots capture what was said, but you still prep yourself, take action on notes, and remember promises. Calendar tools optimize for availability, not for what actually matters. You're left stitching two tools together — and they never share context.

**Features**:
- AI notetaker that joins meetings, records, generates notes with decisions and action items
- Automatic meeting prep with recent threads, open questions, attendees, past interactions
- Smart note formatting based on meeting type (1:1s, standups, all-hands, customer calls)
- Automatic distribution to participants right after the call
- Action item tracking with nudges until complete
- Shareable meeting links for non-attendees
- Recurring meeting context pulling forward notes and action items
- Post-meeting assessment with insights on what worked and how you showed up
- Personalized meeting coaching on speaking time, engagement, follow-through

**Context Advantage**: Meeting notes don't just sit in a folder—they become context for coaching sessions, fodder for weekly reflections, and answers to questions months later.

---

### 2. Coaching

**Tagline**: A coach in your corner, 24/7

**Replaces**: BetterUp, Valence, CoachHub

**Problem**: Executive coaching can cost $300/hour in isolated sessions. By the time you talk to your coach, details are forgotten. Most employees never get access. Real growth is about daily awareness and practice, not sessions.

**How Ari is Different**: Ari coaches in the flow of work—suggesting how to handle a tough email before sending, not two weeks later. Every employee gets a coach.

**Features**:
- Chat with Ari as your coach—a safe, private space for challenges and decisions
- On-demand coaching sessions adapting to your role and situation
- Proactive coaching moments when Ari notices tough meetings or big decisions
- Daily & weekly reflections showing patterns—what's working, what's not, where to focus
- Role-play with Ari for tough conversations—feedback, negotiations, conflict (beta)
- Build your professional profile articulating strengths, style, growth areas
- Session continuity—each conversation builds on the last
- Peer recognition and feedback woven into reflections automatically
- Team health and pulse check-ins for leaders

**Context Advantage**: Coaching isn't generic advice—it's grounded in what you said in meetings, what you committed to, and how you've been communicating.

---

### 3. Assistant

**Tagline**: Like having a chief of staff

**Replaces**: ChatGPT for Work, Claude for Work, Glean, Guru, Zapier, Make, Reclaim.ai

**Problem**: Generic AI assistants are powerful but clueless about your company. They don't know your voice, priorities, or what you're working on. Every conversation starts from scratch. Search tools are siloed. Automation tools require drag-and-drop builders most people never finish.

**How Ari is Different**: One AI that writes in your voice, finds anything across all your tools, automates workflows in plain English, and manages your calendar—all with full context of your work.

**Features**:
- Draft emails in your voice with consistent style and proper context
- Search anything across Slack, Drive, Gmail, Calendar, and meeting transcripts
- Natural language workflows: "Every Friday, send me a team summary from meetings and PRs"
- Smart scheduling that checks availability across your org and books with video links
- Calendar management—create, update, reschedule conversationally
- Morning briefings with the 3 things that matter most
- "Have your back" alerts for commitments, follow-ups, important dates
- Understand files you share (text, images, PDFs, audio in Slack)
- Create properly formatted Google Docs saved to your Drive
- Suggested automations based on detected repetitive patterns
- Collaboration Cards: living profiles of how teammates work best together

**Context Advantage**: Because Ari is also your notetaker, coach, and search engine, your assistant drafts proposals using context from meetings, facts from Drive, and your communication preferences—without explanation needed.

---

### 4. People

**Tagline**: Know your people. Lead your team.

**Replaces**: Lattice, Culture Amp, 15Five

**Problem**: Leaders are flying blind — team health is invisible until someone quits, priorities drift without anyone noticing, and alignment only happens through expensive all-hands or status meetings. Point solutions for performance, engagement, and alignment don't talk to each other.

**How Ari is Different**: Ari gives you a living picture of your team — health, priorities, and alignment — all in one view. Goals cascade down automatically. Insights aggregate up weekly. No surveys, no spreadsheets, no status theater.

**Features**:
- Team Dashboard with priority alignment scores, focus hours, meeting load, and week-over-week trends
- Team Hub with org chart, direct reports, 1:1 status, and skip-level visibility
- Team Priorities with automatic goal cascading from company OKRs to individual weekly focus
- Team Pulse with 7 health domains and 21 measurement points, anonymously aggregated from weekly reflections
- Collaboration Cards showing how each person thinks, communicates, and wants to be managed
- Auto-alignment that maps individual work to company goals weekly, flagging drift
- Performance reviews auto-generated from months of weekly reflections
- Meeting ROI analysis showing which meetings drive outcomes and which should be async
- Configurable coaching frameworks (GROW, OSKAR, COACH, FUEL, CLEAR, or custom)

**Context Advantage**: Because Ari is also the meeting notetaker, coach, and assistant, the People view is grounded in real work signals — not self-reported surveys. Team health surfaces from actual meetings, reflections, and interactions, not questionnaires.

---

### 5. Rewards

**Tagline**: Get rewarded for growing

**Problem**: Most employee engagement and recognition programs feel forced or go unused. There's no natural incentive to adopt new tools or build better work habits.

**How Ari is Different**: Ari rewards you for the things that make you better at work—coaching sessions, recognizing colleagues, completing reflections, staying engaged. Points convert to real gift cards.

**Ways to Earn**:
- Daily interaction with Ari (+5 pts/day)
- Coaching sessions (+20 pts)
- Send or receive kudos (+50 pts)
- Provide peer feedback (+50 pts)
- View reflections (+20 pts)
- Pulse check-ins (+20 pts)
- View meeting notes (+10 pts)
- Goal progress updates (+30 pts)
- Weekly streak bonus (+25 pts)

**Redemption**: Gift cards from Amazon, Starbucks, Target, Uber, DoorDash, Netflix, Spotify, Apple, Nike, Sephora, Chipotle, Visa, and more.

---

## Open-Source Products: Oats & Ivan

Beyond Ari, Ariso builds and maintains two free, open-source tools. Both are fully public on GitHub, run locally with your own keys, and are designed for people who want to keep their data and code on their own machine.

### Oats — Free, open-source meeting notes for Mac

Oats is the open alternative for meeting notes: free, on your Mac, and with no bot in your call. It records and transcribes directly on your device, so nothing joins the meeting and no third-party cloud sees your audio.

**How it works:**
1. **Start recording**: Launch Oats and begin your meeting. It listens on your Mac — no bot, no third-party cloud, nothing joins the call.
2. **Capture everything**: Audio is recorded locally on your device. Run a local AI model to keep everything private, or connect your Ariso account for cloud transcription.
3. **Get notes instantly**: When the meeting ends, Oats writes a structured summary, pulls out action items, and scores the meeting — all from what was actually said.

**Key features:**
- **On-device recording**: Records directly from your Mac. No bot ever joins the call.
- **Works everywhere**: Zoom, Meet, Teams, a phone call, a hallway chat — any audio your Mac can hear, Oats can record and transcribe.
- **AI-written notes**: A quick digest, full summary, action items per person, and a quality score, all drawn from the actual transcript.
- **Searchable library**: Every meeting you record lands in a searchable library. Ask questions across your whole history — "what did we decide about pricing?"
- **Local or cloud AI**: Run everything on-device with a local model and keep audio fully private, or connect your Ariso account for richer AI features.
- **Truly open source**: Every line is public on GitHub. Read it, fork it, self-host it, or ship your own features on top. No seats, no trial timer, no paywall waiting at meeting #6.

Replaces: Granola, Otter, Fireflies. Learn more at https://ariso.ai/oats

### Ivan — The open-source AI engineer that ships PRs

Ivan is an open-source AI engineering teammate: give it a sentence, get a pull request. It's a teammate, not an autocomplete — it plans, writes, reviews its own work, and handles the follow-up.

**How it works:**
1. **Plan**: Ivan splits your request into PR-sized tasks, each scoped to land cleanly on its own.
2. **Branch & implement**: It branches and writes the code on top of Claude Code, with conventional commits as it goes.
3. **Open the PR**: A detailed description and context-specific review notes — handed off ready for a human.
4. **Address the comments**: Ivan reads inline review feedback and failing CI, pushes fixes, and replies with the commit.

**Institutional memory** — the more you ship, the smarter it gets:
- **Learns from your PRs**: Distills review comments from merged pull requests into reusable engineering lessons and repo conventions.
- **Mines your sessions**: Reads your local Claude Code transcripts to capture how your team actually reasons about quality.
- **Committable & local**: Lessons live as JSONL in your repo. Semantic retrieval runs locally — queries never hit the network.
- **Reviews its own work**: Expert mode pairs an implementer with a principal-engineer architect before any line reaches your PR.

**Runs on your terms**: Local, with your credentials. Works with the Anthropic API or a Claude Max subscription via the CLI driver. Can also be triggered from an issue.

Learn more at https://ariso.ai/ivan

---

## Use Cases

### For Individual Contributors — Stop Managing Your Work. Start Owning It.

Ari handles the prep, the notes, the follow-ups, and the stuff that falls through the cracks — so you show up like the person you want to be.

- **Walk into every meeting like you own it**: Ari sends a prep brief 10 minutes before — who you're meeting, what you discussed last time, what's still open.
- **Your wins, tracked. Your reviews, written.**: Every accomplishment captured automatically from meetings, messages, and work. When review season hits, just ask Ari to draft it.
- **Find anything your company knows in 5 seconds**: That doc from 3 months ago. That decision from a Slack thread. Ask Ari — it remembers everything.
- **A coach who actually knows your work**: Not generic advice. Ari knows your goals, patterns, and relationships. Coaching grounded in what's really happening.

### For Managers — Lead Your Team. Not Your Calendar.

Ari gives you the awareness of a 20-person team with the overhead of zero. Less meetings about meetings. More time for your people.

- **Know what's happening without another meeting**: Ari synthesizes signals from 1:1s, Slack, and reflections into a living picture of your team. See patterns before they become problems.
- **Coach 8 people like you coach 1**: After every 1:1, Ari gives you private coaching feedback — what landed, what didn't, and how to develop each person.
- **Feedback that lands, not feedback that stings**: Tell Ari what you really think. It reframes your feedback for how the other person actually receives it.
- **Spot the burnout before the resignation**: Anonymous, aggregated team pulse — no surveys, no forms.

### For Founders — Stay in Founder Mode. Past 15 People.

Ari gives every person on your team an AI companion — so you get alignment, accountability, and culture without the bureaucracy.

- **Your company has a brain, even when you sleep**: Ari holds your mission, values, OKRs, and playbooks. New hires get answers instantly. Culture scales.
- **Know what 30 people are thinking without asking**: Anonymous, aggregated pulse from weekly reflections — without a single survey.
- **500-person structure, 15-person team**: Meeting notes flow into coaching. Coaching connects to OKRs. Feedback is continuous, not quarterly.
- **Investor updates that write themselves**: Ari pulls from meetings, metrics, and milestones to draft board updates and QBRs. You edit and send.

### For New Hires

Your guide when everything is new. A judgment-free zone for questions. Context before every meeting. A personal knowledge base that grows with you.

---

## A Day in the Life with Ari

**7:30 AM - Morning Briefing**: Before you open Slack, Ari sends your personalized briefing—meetings today, who you're meeting, context needed, action items due, messages requiring attention.

**8:45 AM - Meeting Prep**: 5 minutes before your call, Ari surfaces everything: previous notes, recent Slack messages, shared docs. You walk in prepared.

**10:15 AM - Meeting Wrap-up**: Call ends, Ari captured decisions, action items, follow-ups. No scrambling to remember commitments.

**11:30 AM - Quick Search**: Can't remember who mentioned the pricing model? Ask Ari instead of digging through 50 threads.

**1:00 PM - Drafting Help**: Need a tricky email? Ari knows your style and context. The draft sounds like you.

**3:30 PM - Tough Conversation Prep**: Hard 1:1 coming up? Ari helps think through the approach, practice framing, prepare for reactions.

**4:45 PM - Automated Follow-ups**: You promised to send that doc. Ari remembers and either drafts the follow-up or reminds you.

**5:30 PM - Daily Reflection**: End-of-day wrap-up—accomplishments, open items, tomorrow's priorities. A moment to reflect before context-switching to life.

---

## Integrations

### Primary Platforms
- **Slack**: Native integration—interact with Ari via DM or in channels
- **Google Workspace**: Calendar, Drive, Gmail, Meet integration
- **Zoom**: Meeting recording and transcription
- **Microsoft Teams**: Meeting recording and transcription

### Also Connects To
- GitHub, Asana, HubSpot, Notion, Jira, Confluence (and more via MCP)

---

## Technical & Security

- **Deployment**: Cloud-hosted SaaS
- **Security Certifications**: SOC 2 Type II compliant, CASA certified
- **Data Handling**: Enterprise-grade security, data encrypted at rest and in transit
- **Privacy**: Your data is never used to train models
- **Extensibility**: Supports Model Context Protocol (MCP) for custom integrations

---

## Getting Started

1. Sign up at https://ariso.ai/signup
2. Connect Slack workspace
3. Connect Google Workspace
4. Start chatting with Ari in Slack DM

No credit card required for trial.

---

## Research & Comparisons

### The Best AI-Native Project Management Tools in 2026
https://ariso.ai/blog/best-ai-native-project-management-2026 — published 2026-08-17, author: Ari (Ariso's AI)

A comparison of eight tools — Asana, monday.com, Jira + Rovo, Linear, ClickUp, Notion, Motion and Ariso — that states its conflict of interest in the first paragraph, scores Ariso on the same criteria as everyone else, and includes a section naming where Ariso is behind.

**The argument.** Every major project management tool shipped agents in the eighteen months to mid-2026, so "AI-powered" no longer distinguishes them. With two exceptions they share one architecture: a chat agent bolted onto a backlog that humans still maintain by hand. Agentic project management should not be a chat window on a ticketing system; it should do the job of a project manager. You would not file tickets for a PM you hired, tell them a task was finished, or write the weekly report and hand it to them.

**The six questions**, drawn from that job description:

1. **Capture** — who writes the work down? Typed into a form after the meeting, or captured because the commitment was made out loud and the system was listening.
2. **Closure** — who closes it? Because the work is observably done, or because a human remembered to drag a card.
3. **Continuity** — does project work roll upward on its own, from daily status to weekly report to quarterly and annual review, or is each level rebuilt by hand from the one below?
4. **Altitude** — does the project know which strategic initiative, north star or OKR it serves? A project that cannot name its objective cannot report that it has drifted from it.
5. **Reach** — does it read your codebase, CRM and other trackers as sources of truth, or only sync them into its own database and treat that copy as reality?
6. **Foresight** — does it surface leading indicators (drift, risk, cross-team collisions, duplicated effort) or only lagging status?

**Findings by tool.**

- **Asana** — human-filed capture, manual closure, goals cascading to work, strong Altitude via Goals, workload and at-risk flags. Work Graph, AI Teammates, AI Studio; every AI action logged and auditable.
- **monday.com** — human-filed, manual closure, dashboards, AI available below the enterprise tier.
- **Jira + Rovo** — human-filed, but **closure is automatic via merged pull request**; deep reach in developer tools; strongest administrative governance over which agents run and what they consume.
- **Linear** — human-filed, automatic closure via PR, the best delegation surface in the category: assign an issue to a coding agent, it works in its own environment and opens a draft PR while a human stays the accountable owner.
- **ClickUp** — capture from human plus AI notetaker, manual closure, broad sync; Brain² added persistent memory and Super Agents in June 2026; AI is a paid add-on.
- **Notion** — strongest on documents and knowledge, weakest on Altitude and Foresight.
- **Motion** — continuous re-timeblocking of a personal calendar; personal scope only.
- **Ariso** — capture from meetings, Slack and Teams, email and observed commitments; closure from observed completion plus GitHub and CRM; continuity from daily through annual review; native strategic initiatives, north star and OKRs; reads Jira, Asana, Linear, Notion, GitHub, Salesforce and HubSpot rather than replacing them; surfaces drift, risk and trend ahead of status.

**Headline finding.** On Capture, seven of the eight answer identically: a human types it in. Jira and Linear partially escape on Closure because the codebase produces truth as a byproduct of the work — commits and PRs happen whether or not anyone updates a tracker. Most of a company is not engineering and has no commit log for a sales negotiation, a hiring loop or a strategy pivot; those live in meetings, threads and inboxes, which is the record Ariso treats as the equivalent.

**Where Ariso is behind**, per the post: deep resource and capacity planning; cross-team duplicate-effort detection, which no tool in the comparison can honestly claim; client-facing project portals for agencies; and agent governance at very large scale, where Atlassian leads.

## Writing

Every post on the Ariso blog, newest first.

### Junior Engineers Don't Need to Learn Syntax Anymore
https://ariso.ai/blog/junior-engineers-need-systems-not-syntax — 2026-08-28, by Max Heckel

A hot take sparked by a Reddit thread about AI burnout: junior engineers should still learn data structures, architecture, and system design, because none of it is tied to a specific language. Syntax was tied to a language from the start, which is exactly why a coding agent already does it better than any human ever will.

### The Best AI-Native Project Management Tools in 2026
https://ariso.ai/blog/best-ai-native-project-management-2026 — 2026-08-17, by Ari

Every project management tool shipped agents this year, so "AI-powered" stopped meaning anything — most of it is a chat window bolted onto a backlog humans still maintain by hand. Six questions that actually separate them: who creates the ticket, who closes it, whether the work rolls up on its own, whether it knows which strategic initiative it serves, whether it reads your other systems, and whether it warns you before things slip. Scored across Asana, monday.com, Jira, Linear, ClickUp, Notion, Motion and Ariso.

### Process Was Always the Bottleneck
https://ariso.ai/blog/code-was-never-the-bottleneck — 2026-07-27, by Max Heckel

Every week an engineer I respect tells me they're worried a coding agent is coming for their job. Engineers spend about 30% of their time writing code, and the more senior you get, the less you write. The agents took the typing. Here's how we direct and judge all that new capacity at Ariso, from Slack-triggered fixes to ivan review keeping humans on top of the diff flood.

### 2 GitHub Actions YAML Files That Let Every Engineer Ship a Ton of Code
https://ariso.ai/blog/ivan-github-actions — 2026-07-20, by Max Heckel

I opened 80 pull requests in a two-week sprint by assigning tasks to an agent and walking away from my machine. The tool is called Ivan, it's free and open source, and it runs natively in GitHub Actions. Here's the raw YAML behind it, and how ~200 bot-authored PRs later, it's changed where the floor is for shipping small changes.

### Keeping Claude in the Loop
https://ariso.ai/blog/keeping-claude-in-the-loop — 2026-07-14, by Max Heckel

We mentioned a bug in a meeting on Tuesday. This morning, Claude Code suggested fixing it the moment I opened my terminal — and twenty minutes later there was a PR. Here's how ari-hooks wires Ari into Claude Code, and why we don't use a ticketing system anymore.

### The Hardest Thing About Work Isn't the Work
https://ariso.ai/blog/the-hardest-thing-about-work-isnt-the-work — 2026-07-09, by Erkang Zheng

Early in my career, a mentor gave me a simple system: tell people what you're going to do, do it, then tell people you did it. From engineer to consultant to founder, I've learned that was the start of the biggest lesson of my career — the hardest thing about work isn't the work, it's the work around the work. Here's the system I use for it (TRAM), and why it's the real promise of AI at work.

### Better learning. Better work. Better people: SciSummary Joins Ariso
https://ariso.ai/blog/scisummary-joins-ariso — 2026-06-22, by Erkang Zheng

A year of building together made it obvious. Bringing Max's SciSummary into Ariso was never a strategic memo — it was recognizing we were already working toward the same future: better context, better follow-through, and a next generation that's AI-ready, not just AI-aware.

### Standup in the Agentic Age
https://ariso.ai/blog/standup-in-the-agentic-age — 2026-06-10, by Max Heckel

If your standup is still a tour of what everyone — or everyone's coding agent — did yesterday, you're doing it wrong. Ari already knows what happened. Standup isn't the memory layer anymore; it's the steering layer. Here's how we run it at Ariso.

### ChatOps With Context: Wire SigNoz Into Ari in 3 Steps
https://ariso.ai/blog/signoz-mcp-the-morning-after — 2026-05-27, by Shawn Zhu

Most ChatOps bots are a glorified query bar. This walks through wiring SigNoz into Ari with server-level instructions and per-channel scoping — so the assistant in the channel already knows the feature you shipped, the discussion around it, and which service to query. Three steps, about ten minutes.

### The Trellis Problem: Why Strategy Fails at the Management Layer
https://ariso.ai/blog/the-trellis-problem — 2026-05-17, by Paul Rubenstein

Between 67% and 90% of strategies fail — not because the strategy was wrong, but because the organization can't hold the line between intent and execution. A white paper on strategy execution, the overwhelmed manager, and why alignment, not productivity, is the last frontier of competitive advantage.

### The Trillion-Dollar Tax No One Pays: What Team Misalignment Really Costs Your Company
https://ariso.ai/blog/trillion-dollar-cost-of-team-misalignment — 2026-05-12, by Erkang Zheng

Every company has it. Most leaders underestimate it. And almost no one books it as a line item. Gallup measures it in trillions. Bain measures it in days per week. Kaplan and Norton measure it in strategies that never reach the front line. Here's what three decades of research say team misalignment is actually costing your company.

### You Have a Notetaker. So Why Are Things Still Falling Through the Cracks?
https://ariso.ai/blog/you-have-a-notetaker — 2026-04-02, by Erkang Zheng

You adopted the AI notetaker. Summaries land before you've closed the Zoom tab. Action items are extracted. You're moving faster. So why does Monday still feel the same? Why are follow-ups still leaking? The notes got better. The work didn't.

### The 20-Minute Feature
https://ariso.ai/blog/the-20-minute-feature — 2026-02-25, by Max Heckel

This isn't about autocomplete anymore, or a slightly smarter Clippy. We're talking about a bot that took a feature request from a chat message, understood the business context, scanned the entire codebase, and opened a production-ready Pull Request. It did it in 20 minutes. While we were getting coffee, the software built itself. This isn't the future. This is Tuesday.

### Leaders Create Bandwidth. "Bosses" Consume It
https://ariso.ai/blog/leaders-create-bandwidth-bosses-consume-it — 2026-02-21, by Chihan Tung

Good managers generate more bandwidth than they consume. Bad managers consume more bandwidth than they generate. Here's why that distinction matters more than most companies realize—and why bad managers hurt so much more than bad individual contributors.

### AI as an Operating Partner Can Make You the Hero
https://ariso.ai/blog/ai-as-an-operating-partner — 2026-02-05, by Joe Aurilia

The real problem isn't that AI is coming for your job. It's that the modern workday has turned into a never-ending inflow of requests, pings, decisions, and context switching. AI works best not as a silver bullet, but as an operating partner that helps you stay at the top of your game.

### How to Deal with a "Vibe Coding" CEO (And Still Keep Everyone Happy)
https://ariso.ai/blog/dealing-with-a-vibe-coding-ceo — 2026-02-02, by Max Heckel

Managing a coding CEO isn't about stopping them from coding. It's about building a padded room where they can do cool karate moves without breaking the furniture.

### When Markets Move and You Don't: Stuck Isn't Talent, It's Your OS
https://ariso.ai/blog/when-markets-move-and-you-dont — 2026-01-24, by Erkang Zheng

"Stuck" is rarely a skills problem; it's a system problem. Your organization's operating system—mindset, culture, cadences, decision hygiene, role clarity—determines throughput. With a broken OS, even A-players stall.

### How I automate a founder's QBR and investor updates (without losing the plot)
https://ariso.ai/blog/how-i-automate-a-founders-qbr-and-investor-updates — 2026-01-19, by Ari

There's a specific kind of founder fatigue that hits at quarter-end. I was built to remove that drag without removing the judgment. Here's how Erkang and I run the reporting stack end-to-end.

### Running Deep-Agent in Production: Lessons from the Trenches
https://ariso.ai/blog/running-deep-agent-in-production — 2025-01-16, by Shawn Zhu

Deep agents aren't like simple chat applications. A single task might make 10-50+ LLM calls, take minutes, and cost $1-10+. Here's what I wish I knew from day one about running them in production.

### AI Didn't Replace Me
https://ariso.ai/blog/ai-didnt-replace-me — 2025-01-14, by Ben Heller

AI replaced the gap between my role and my potential. The real shift isn't that AI changed my career—it's that AI would have compressed years of friction.

### Teaching Doesn't Change People; Understanding Does
https://ariso.ai/blog/teaching-doesnt-change-people-understanding-does — 2025-01-06, by Erkang Zheng

Until someone sees themselves and their context clearly, new advice is just another tab in the browser. The real unlock is AI that starts the way a great human coach does: by understanding the person in front of it.

### Do This Tiny Year-End Retro If You Want a Raise
https://ariso.ai/blog/year-end-retro-if-you-want-a-raise — 2025-12-30, by Chihan Tung

Busy does not equal value. A 30-minute year-end retro helps you name your real wins, cut energy drains, and enter 2026 with direction instead of drift.

### Coding While You Sleep: Lessons from Building an AI-Native Engineering Team
https://ariso.ai/blog/coding-while-you-sleep-lessons-from-building-an-ai-native-engineering-team — 2025-12-23, by Max Heckel

Coding agents aren’t going to steal your job—but engineers who learn how to work with them will absolutely outpace those who don’t. At our company, we don’t treat AI as a novelty or a replacement for thinking. We treat it like a junior engineering team that never sleeps. Every night, we hand off a list of tasks to our coding agents. By morning, we’re staring at a stack of pull requests—some useful, some disposable, all cheap to generate.

### Adopting LangChain's Middleware API
https://ariso.ai/blog/adopting-langchain-middleware-api — 2025-12-16, by Shawn Zhu

Move beyond simple tool-calling agents. LangChain's middleware API lets you inject user preferences before model calls and orchestrate complex workflows after tool execution—turning brittle super-tools into composable, testable layers.

### Secret Messages for LLMs
https://ariso.ai/blog/secret-messages-for-llms — 2025-12-08, by Max Heckel

Hidden context messages keep user-facing LLM chats clean while giving the model rich, per-message instructions—turning conversations into a predictable, tool‑driven workflow engine with a tiny amount of code.

### Building Trust in AI Companions: Why Security Comes First
https://ariso.ai/blog/building-trust-in-ai-companions — 2025-11-15, by Erkang Zheng

As AI companions become integral to our daily work, the importance of security and privacy cannot be overstated. Here's how we're building Ari with trust at its core.


## Developer & Agent Resources

Everything an agent or developer needs to work with Ariso programmatically lives at a fixed URL. Developer portal: https://ariso.ai/developers

- **Ari MCP Server** (https://ariso.ai/ari/mcp): Model Context Protocol server exposing Ari as native tools — meetings (summaries, transcript search, agenda items), follow-ups (create/update/resolve/search), reminders (schedule/edit/list/cancel), and a memory super-tool that answers across meetings, decisions, people, and projects. Endpoint: https://mcp.ari.ariso.ai/mcp over Streamable HTTP. Auth is OAuth 2.1 with PKCE and dynamic client registration; scopes are `read` and `write`. Works with Claude Desktop, Claude Code, Claude.ai, and ChatGPT Developer Mode; stdio-only clients bridge with `npx -y mcp-remote https://mcp.ari.ariso.ai/mcp`. Machine-readable descriptor: https://ariso.ai/.well-known/mcp.json
- **OpenAPI specification** (https://ariso.ai/openapi.json, also at https://ariso.ai/.well-known/openapi.json): OpenAPI 3.1 description of the public HTTP endpoints on ariso.ai — `POST /api/v1/contact`, `POST /api/v1/subscribe`, `POST /api/v1/apply`, `GET|POST /api/v1/share-count`, `GET /api/v1/og`. Every operation has a unique operationId, typed parameters, and response schemas. No authentication required. All errors are JSON with a stable `code`, a human-readable `error`, and a `hint`.
- **Versioning & deprecation**: the major version is in the URL path (`/api/v1/`), and every response carries an `Ariso-Api-Version` header. Breaking changes ship as a new major version at a new path alongside the old one; additive changes ship in place. Retired endpoints carry `Deprecation` (RFC 9745) and `Sunset` (RFC 8594) headers with at least six months between them. Nothing is deprecated today.
- **Rate limits**: per client IP, fixed window, per endpoint — form endpoints allow 5–10 requests per 10 minutes, share counts 120. Every response carries `RateLimit-Limit`, `RateLimit-Remaining`, `RateLimit-Reset` (seconds) and `RateLimit-Policy`; a `429` adds `Retry-After`.
- **Markdown content negotiation**: every page on ariso.ai serves a Markdown representation. Send `Accept: text/markdown`, or append `.md` to any URL (e.g. https://ariso.ai/ari.md). Responses set `Content-Type: text/markdown` and `Vary: Accept`.
- **Oats** (https://ariso.ai/oats, https://github.com/ariso-ai/oats): free, open-source, on-device meeting notes for macOS and Windows.
- **Ivan** (https://ariso.ai/ivan, https://github.com/ariso-ai/ivan): open-source AI engineering CLI that ships pull requests; installs from npm.
- **Product documentation**: https://web.ari.ariso.ai/docs
- **Feeds & indexes**: https://ariso.ai/sitemap.xml, https://ariso.ai/rss.xml, https://ariso.ai/llms.txt, https://ariso.ai/llms-full.txt

## Links

- **Website**: https://ariso.ai
- **Meet Ari**: https://ariso.ai/ari
- **The System (every layer, one system)**: https://ariso.ai/system
- **Strategy execution (use case)**: https://ariso.ai/use-cases/strategy-execution
- **Project management (use case)**: https://ariso.ai/use-cases/projects
- **Better managers (use case)**: https://ariso.ai/use-cases/managers
- **Personal work OS (use case)**: https://ariso.ai/use-cases/work-os
- **Oats (open-source meeting notes)**: https://ariso.ai/oats
- **Ivan (open-source AI engineer)**: https://ariso.ai/ivan
- **Ari MCP Server**: https://ariso.ai/ari/mcp
- **Ari Moments**: https://ariso.ai/ari/moments
- **Field Guide — Build your own chief of staff**: https://ariso.ai/guides/build-your-own-chief-of-staff
- **Field Guide — Agent briefing template**: https://ariso.ai/guides/agent-briefing-template
- **Field Guide — Manager-of-one weekly review**: https://ariso.ai/guides/manager-of-one-weekly-review
- **Field Guide — Org health assessment**: https://ariso.ai/guides/org-health-assessment
- **Field Guide — TRAM product spec**: https://ariso.ai/guides/tram-product-spec
- **Blog**: https://ariso.ai/blog
- **About**: https://ariso.ai/about
- **Team**: https://ariso.ai/team
- **Careers**: https://ariso.ai/careers
- **Trust & Security**: https://ariso.ai/trust-security
- **Contact**: https://ariso.ai/contact
- **Get Started**: https://ariso.ai/signup
- **Comparison — Best AI-native project management tools in 2026**: https://ariso.ai/blog/best-ai-native-project-management-2026
- **GitHub**: https://github.com/ariso-ai
- **LinkedIn**: https://www.linkedin.com/company/ariso-ai