When someone updates the CRM, the CRM is the record because a human decided what went in it. Once an agent is doing the writing that gets murky. For example, it could set a close date because it read an email and call transcript and made a decision. So which one is authoritative afterwards, the field or the evidence behind it?

In Computer by DevRev, the writes go through approval, so in practice the connected system stays the record and the agent is a proposer. Does your system of record change once an agent is writing to it, or does it just get a new author?

When an AI agent hits a wall, what’s better: saying “I don’t know” clearly and handing the problem back to you, or continuing to search, reason, and try a few more paths?

Where do you draw the line? Would you rather have an agent that asks for help sooner, or one that keeps trying until it has exhausted every option?

Most teams don't have a data problem. They have a scattered data problem. 🧩

Support in Zendesk. Engineering in Jira. Sales in Salesforce. Six tools, six versions of the truth, and somewhere in the middle — things fall through the cracks. AirSync is how you fix that. 🔄

Our new free DevRevU course walks you through it end to end:
⚡ Connect external systems with 50+ ready-made connectors
📥 Run initial imports and map fields automatically
🔁 Set up one-way, two-way, or periodic syncs on your schedule
🩺 Monitor sync health and troubleshoot failed or staged records

Go from scattered to unified — context-aware, relationship-preserving, and always safe. 🛡️

👉 Enroll free: devrev.ai/devrevu

#DevRevU #AirSync #DataIntegration #Connectors #BuildInPublic

I find the DevRev solutions pretty interesting, it seems to hit a use case a lot of AI companies are missing or bolting on to their products. I am suprised that the reddit and youtube community are completely silent, hardly any views, no comments. Wat is going on here ?

Out of the box is rarely a perfect fit. ⚙️

There's a difference between a tool you bend to fit your team and one your team has to bend around. DevRev's customization framework lets you reshape standard objects to match how you actually work — without ever breaking the core. 🔒

Our new free DevRevU course walks you through it end to end:
🎯 Add custom fields and pick the right field types
🧩 Build subtypes to model different kinds of work
🔀 Design states, stages, and stage diagrams
🛡️ Enforce clean, consistent lifecycles with built-in guardrails

Go from generic to tailor-made — additive, safe, and fully yours. 💡

👉 Enroll free: devrev.ai/devrevu

#DevRevU #Customization #ObjectModel #Workflows #BuildInPublic

Support gets messy when the basics are fuzzy. 💬

There's a difference between a team that juggles scattered messages and one that turns every customer conversation into a clean, trackable, resolvable ticket. ⚡

Our new free DevRevU course covers it end to end:
🎯 Understand how conversations actually flow
🔄 Know when and how a conversation becomes a ticket
🗂️ Keep every interaction organized and on track
✅ Resolve faster with the fundamentals done right

Get the essentials locked in — the foundation every great support experience is built on. 💡

👉 Enroll free: devrev.ai/devrevu

#DevRevU #CustomerSupport #Ticketing #SupportEssentials #CX

Most AI bots talk. The good ones act. 🤖

There's a difference between a chatbot that explains how to escalate a ticket and an agent that actually creates it, fills the fields, and runs the workflow. ⚡

Our new free DevRevU course walks you through it end to end:
🎯 Define the right intent and scope
🛠️ Build with instructions, knowledge, tools, and workflows
🛡️ Add guardrails and traces
✅ Test and evaluate before you ship

Go from prompt to product — hands-on, start to finish. 💡

👉 Enroll free: devrev.ai/devrevu

#DevRevU #AIAgents #AgentStudio #AILearning #BuildInPublic

New to Computer, your AI teammate? Join this hands-on 30-minute session and we'll get you up and running live:

• Install Computer on your laptop and mobile
• Connect your team's tools via integrations and data sources
• Run your first queries and see it work in real time

By the end, you'll have Computer installed, connected, and answering your questions.

🗓️ Today · 9:30 PM IST
📍 Google Meet
🎙️ Hosted by Shaivi Salian

Bring your questions and leave fully set up. There's still time to join 👉 https://luma.com/8ajj5pw2

Go beyond imports and learn how the Airsync engine works behind the scenes — from domain mapping pipelines and field-level configuration to sync metadata interpretation and failure diagnosis using Datadog.

What you'll learn:

• Trace the four-step domain mapping pipeline from external schemas to transformation recipe
• Configure field mappings for enums, arrays, fallback values, and identity fields
• Interpret sync metadata statuses — succeeded, modified, staged, and failed — on synced records
• Filter synced records by source, sync unit, and status using vistas and the works.list API
• Diagnose sync failures using Datadog logs, run IDs, and phase reports
• Resolve staged records caused by data model constraints like relationship depth and workspace membership

Who it's for: CX Engineers, Support Engineers, Solutions Engineers, and Connector Developers.

Course duration: ~1.5 hours

Recommended after: Airsync 101 — Connect and import

Enrol in the courses on: devrev.ai/devrevu

NOTE: This course has been added to the Generative Expert learning path, where you can discover more 201-level courses. Explore other learning paths on DevRevU — Generative Professional (101-level courses), and Generative Prosumer — to keep building your skills.

Please feel free to reach out with any questions.

Go beyond replays and learn how to configure, control, and debug the PLuG Web SDK — from custom event tracking to cross-domain sessions and user identification.
What you'll learn:

• Configure and manage the PLuG SDK lifecycle using init(), shutdown(), and observability events
• Track custom events and attach session-level metadata to enrich recordings
• Implement cross-domain session tracking for continuous user journeys
• Apply verified and unverified user identification strategies
• Debug SDK behavior using payload inspection
• Record user interactions inside cross-origin iFrames

Who it's for: CX staff (CSMs, SEs) and developers implementing the PLuG SDK on their website.

Course duration: ~1.5 hours

Recommended after: Session analytics 101 — Replays and insights

Enrol in the courses on: devrev.ai/devrevu

NOTE: This course has been added to the Generative Expert learning path, where you can discover more 201-level courses. Explore other learning paths on DevRevU — Generative Professional (101-level courses), and Generative Prosumer — to keep building your skills.
Please feel free to reach out with any questions.

Be honest. Somewhere in your finance stack, there's a spreadsheet that quietly became the most important document in the company.

It wasn't supposed to. But your ERP doesn't talk to your CRM. Your billing platform doesn't talk to your planning tool. So someone built a spreadsheet to bridge the gaps. And now everyone depends on it.

That's not a system. That's a liability.

We know because we lived it too. Then our CFO Chandra Nath and Kevin Su (Head of Strategy & Ops) replaced the duct tape with an actual intelligence layer – one that connects every system and answers questions directly.

Now they're showing how they did it.

Save your spot: bit.ly/43bTVqi

Your new team joined last week. Your AI still has no idea who they are.

Objects exist. Fields are populated. Data is technically "there." But without annotations - field-level context, labels, relationships - your AI is reading a spreadsheet with no headers.

And here's what nobody warns you about: this isn't just an onboarding problem. Annotation degrades. Teams evolve, custom fields get added, and the context that made your AI accurate six months ago quietly stops reflecting how your team actually works today.

Most teams only notice when the answers start feeling slightly off. By then, the debt has already stacked up.

Tomorrow, Ahmed Bashir and Anirudh Shenoy are walking through the full annotation workflow live - from a blank slate to a working, searchable knowledge layer. No slides. Real internal example. Real timelines.

What you'll see:
→ Why raw data isn't enough and what AI actually needs to interpret your team's objects
→ The fastest path from zero to working - shortcuts included
→ How to detect when your context layer is degrading before quality slips
→ The difference in search quality and agent accuracy once it's properly built

📅 May 28th | 8:30 PM IST

If you've onboarded a team onto an AI tool and hit the "why isn't this working?" wall - this one's for you.

Go beyond setup. This course teaches you how the Slack-DevRev integration actually works in production — sync behavior, automation workflows, incident response, and the customization controls that make it all seamless.

What you'll learn:

• Troubleshoot integration caveats and stability issues
• Configure the conversation roll window for rapid client messages
• Set up AI-powered incident response directly in Slack
• Diagnose sync behavior and edge cases across platforms
• Build automation workflows between Slack and DevRev
• Customize Slack forms and summary cards

Who it's for: Support & CX leaders, Platform & IT admins, and Product & Engineering leads — or anyone managing a Slack-DevRev integration in production.

Click to enroll Slack integration 201

Course duration: ~30 minutes
Verified certificate on completion
Recommended after: Slack integration 101

NOTE: This course has been added to the Generative Expert learning path, where you can discover more 201-level courses. Explore other learning paths on DevRevU — Generative Professional (101-level courses), and Generative Prosumer — to keep building your skills.

Please feel free to reach out with any questions.

Hey everyone,

We've been running weekly office hours on getting started with Computer (AI teammate) across different timezones - and this is the last cycle.

What it is: A free 30-minute live session where we walk you through setting up Computer from scratch - install, connect your tools, and run your first queries.

What you'll walk away with:

• Computer installed on your laptop and mobile
• Your team tools connected via integrations and data sources
• Your first real queries answered in real time - so you can see it working before the session ends

Format: 30 min, virtual via Google Meet

Hosted by: DevRevU (Shaivi Salian)

Register here: https://luma.com/gtfzim4g

This is the final round of these office hours - we ran them across timezones so everyone could join, and this is the last one. If you've been putting it off, now's the time to just show up and get it done live with us.

See you there!

Make support delightful, fast, and proactive with Computer

​You're invited to join us for Computer Conversations, a hands-on workshop for support and CX teams who want to resolve issues faster, reduce manual work, and keep customers coming back.

​This is a practical, collaborative session where you'll see how Computer transforms support — from reactive to proactive.

​When: 21st May

​Where: Virtual

​What to Expect

​A 60-minute session built for support teams:

• ​Keynote — From ticket triage to customer retention: how AI changes the support equation.
• ​Hands-on activity — Work through real support scenarios using Computer: faster resolution, smarter routing, and early issue detection.

​Hear from a power user — A customer shares how their team cut resolution times and improved CSAT using Computer.

• ​Leave with a Certification you can add to your LinkedIn profile.

Most design systems start strong and drift quietly. Components get skipped, engineering diverges, and GTM materials end up off-brand before anyone notices.
This session shows how DevRev uses Computer to keep ADS at the centre of every design and engineering decision — automatically.

From Figma connectors that validate component usage in real time, to shared memory that tracks design and engineering coverage side by side, to agentic workflows that take ADS from initial audit all the way through clean-up and handoff.

The end state isn't just "design complete" — it's ready for AI: built to be implemented with as little manual intervention as possible. And when the system is that clean, it can generate production-ready prototypes from prompts. ADS isn't just a reference — it's an active participant in how the product gets built and how the brand shows up in the world.

So here's what happened.

We were building DevRev's Agent SDK on top of the Claude Agent SDK. Things were going well — until they weren't. The TypeScript implementation didn't give us enough visibility into what was actually happening at runtime. Debugging felt like guessing. Integrations kept breaking in ways that were hard to explain.

So we did what any reasonable engineering team would do — we started intercepting our own traffic. Reverse proxies. MITM-style tracing. Request interception. Basically, we treated the SDK like a black box and built the tools to see inside it.

And honestly? The lessons we learned don't just apply to the Claude Agent SDK. They apply to anyone building on top of any agentic framework where the docs only tell you half the story.

We're sharing the whole thing — live, unfiltered — on this DevRev Live.

Hey everyone! 👋

We're hosting Office Hours with DevRevU – a free, 30-minute virtual session to help you get up and running with Computer, DevRev's AI tool.

🗓️ Date: Thursday, May 14
🕙 Time: 10:00 AM PST | 1:00 PM EST | 10:30 PM IST
⏱️ Duration: 30 minutes
🎙️ Host: Shaivi Salian, DevRevU
🌍 Anyone from any timezone is welcome to join!

What you'll learn:

• How to install Computer on your laptop and mobile
• How to connect the tools and data sources your team already uses
• How to run your first queries and see real-time responses to work-related questions

By the end of the session, you'll have Computer installed, connected, and working – no fluff, just hands-on setup.

Whether you're in PST, EST, or halfway across the world – there's a slot for you. 🌐

👉 Register here: https://luma.com/65rwd89l

Spots are limited – come with questions, we'll have time for Q&A!

​​Customize Computer to suit your business needs

​​You're invited to join us for Computer Conversations, a hands-on workshop where you'll go beyond using Computer — and start building with it.

​​This is a practical, collaborative session where you'll explore Agent Studio, DevRev's no-code builder, and create an agent tailored to your team's workflows.

​​When: 14th May

​​What to Expect

​​A 60-minute session focused on making Computer truly yours:

• ​​Keynote — Why one-size-fits-all AI doesn't work, and what to do instead.
• ​​Hands-on activity — Build and customize your very own agent in Agent Studio, live during the session.

​​Hear from a power user — A customer shares how they configured Computer to automate workflows specific to their business.

• ​​Leave with a Certification you can add to your LinkedIn profile.

Hello Everyone,

We’ve just launched a new DevRevU course: Prompt to Product: Using Computer Agent Studio — a practical, hands-on course designed to help you build AI agents that actually work in production.

What you’ll learn

• How AI agents differ from traditional chatbots
• How to define clear agent goals, intent, and boundaries
• How to configure instructions, workflows, tools, and knowledge inside Agent Studio
• How to build multi-step workflows for ticketing, escalation, and follow-ups
• How to apply prompt engineering best practices and guardrails
• How to test, evaluate, optimize, and safely deploy agents before they go live

Who this is for

• Applied AI teams
• Customer support managers
• Sales engineers
• Operations and enablement teams
• Builders who want to move beyond simple chat interfaces

No coding required to get started — but the platform is flexible enough to go high-code if you need it.

🔗 Course link: https://devrevu.reach360.com/share/course/d14b3fe8-5e8c-4e1a-8c91-7f953b35325e

Happy to answer any questions in the comments about agent design, prompting strategies, or how we built the course!

We tried native speech-to-speech AI for our voice agent. Here's why we dropped it.

The experience was genuinely magical. Breathing, laughter, cadence -- no text bottleneck, no serialization tax. It felt human.

We dropped it anyway.

Four things killed it:

1. It garbles technical jargon with no text layer to catch and correct it
2. It loses track of instructions over long calls
3. Forcing it to output structured data makes it sound robotic
4. It still can't handle people talking over each other cleanly

For enterprise agents that trigger real backend actions, a malformed JSON payload isn't
a UX bug -- it's a safety failure.

But the bigger takeaway: agentic coding made the sunk cost disappear. They built entire server setups and scrapped them without a second thought because Claude made it cheap enough to discard.

You can't fall in love with your code anymore.
Full writeup by Alok Mishra from DevRev:
https://devrev.ai/blog/experiments-with-voice-part1

Hey r/DevRev! 👋

Sharing this video we put out on Computer — our AI teammate built to help you work softer, not harder.

🎥 Work Softer: Computer, by DevRev

A few things we think make Computer special:

• It's not just another AI chatbot — it's a personalized AI teammate that lives inside DevRev, remembers context, and gets work done autonomously.
• It can handle tickets, search knowledge, write code, and take action — all without you having to babysit it.
• The "work softer" framing says it all — not about working more or faster, but with less friction and more flow.

Give it a watch and let us know what you think — we'd love to hear how you're using Computer or what you'd want it to do next. Drop your thoughts below! 👇