Patrick Thompson

Tech companies won't stop talking about agents. So we got some real agents to introduce ours. Kind of. First up: Ethan Hunt. clarify.ai/agents

A year ago we promised you an autonomous CRM. Today we deliver on it. Clarify Agents are live. clarify.ai/agents

@akcushman Can do all of this in @getclarify with our Agents capability. Adding LinkedIn integration this quarter.

Request for startups: I want an AI agent that plugs into my slack, email, Attio, LinkedIn, granola, etc. tracks all correspondence with our pipeline + potential prospects — and then reminds us to follow-up if we haven’t heard back from them and ingests all relevant context

@grinich 💯

@eoghan This is great! Keen to get a @getclarify integration.

We're announcing the most significant new strategic development since the start of the Customer Agent category: Fin now has specialized roles. And starting today anyone can sign up for and deploy the Fin Sales Role in minutes. Fin is now by far the very best sales agent on the market, and it's been live with some of the most innovative digital brands for months, conversing with thousands of prospects, aiding discovery, building pipeline, booking meetings and starting trials. We started the Customer Agent category with a focus on service by launching Fin three months after the launch of ChatGPT. Since then Fin has continued to lead the space, today delivering over 2 million resolutions a week for over 8k customers, including Anthropic, DoorDash, Snowflake, Asana, Mercury, Polymarket and many more exceptional brands. But our vision for Fin has always stretched far beyond service. And for the past 6 months we’ve been building Fin as a single Customer Agent, delivering a seamless experience across all stages of the customer lifecycle. We do not believe customers or businesses will want multiple agents for different parts of the lifecycle—because the agents won’t have shared memory and goals, and will have to compete with each other, delivering a poor customer experience and sub-optimal business results. We’ve more roles to come, including another dropping in two weeks. For now please watch our launch video or visit our launch page to learn more: fin DOT ai SLASH sales

We launched the Founder-Led Sales Guide yesterday - the most comprehensive resource on the internet for early-stage selling. Featuring advice from founders like @patrickt010 @destraynor @marty_kausas and more. Read it for free at clarify.ai/fls

@businessbarista @da_fant We’re working on this for GTM teams at @getclarify

Someone is going to build a worldclass “Brain” for enterprises & make a stupid amount of money. Why? As @da_fant said, “coding w ai is solved bc all context is in the git repo. knowledge work is difficult bc context is spread out. an ai system that creates a git repo w all context for a knowledge worker will be able to 100% automate the work.” When companies talk about being data ready for AI, this is what they’re implicitly saying. Engineering has been prepared for this moment for a long time because of the deterministic nature of code, the centralization/versioning of data (read: GitHub), and AI tools that are largely build by engineers for engineers. But for the rest of white collar work, there’s a TON of catching up to do to properly harness the power of the technology. The big challenge here, and why no one has truly cracked the code for "an ai system that creates a git repo w all context for a knowledge worker" is because unlike code, most knowledge is 1) distributed, 2) unstructured, and 3) unverifiable. It's distributed: transcripts live in Granola. Documents in Notion. Customer Data in Hubspot. ERP. Emails. Slack messages. Random spreadsheets. SOP docs. Etc. Etc. Building an ingestion engine that connects to all of your disparate data sources and auto-updates based on the shelf-life of the data is the first, and frankly, easiest step of the process. Next, it's unstructured: let's say I want to create a proposal for a potential client. To nail the proposal, I want it to pull important information from a variety of sources. The specific asks & background from our initial sales call. Previous proposals to anchor ourselves to a proven format. And completed sprint boards from Linear, so the pricing & timeline in the document is grounded in truth. Whether it's a thoughtful filesystem (a la Obsidian) or an OpenClaw-esque memory structure, the brain needs to be great at self-organizing in a thoughtful schema. This is very hard, especially if you want to build a generalizable brain that can be shaped to an array of different enterprises. And finally, most knowledge is unverifiable: writing a function, running a unit test, and seeing if the code works is easy. It works or it doesn't. Using AI to accelerate your content creation process is highly subjective. What is a good/bad idea? Is the content in your voice or not? Does it feel like slop or novel? Answering these questions are both difficult and non-verifiable. That same system described above doesn't just have to be great at organizing & forming coherent relationships, but it also has to be great at self-improving based on feedback from the user. Memory systems (like those introduced by OpenClaw) are great to a point, but as you scale the corpus of data within your company's brain, things like compaction and cleaning become wildly important to avoid the needle in the haystack problem. Someone is going to figure out how to solve this problem, and when they do, not only will they make a shit ton of money, but they'll be robinhood for knowledge workers, enabling non-engineers to enjoy the sort of leverage that only technical folks have felt for the last few years.

Proud to introduce Prospecting in Clarify. Source leads with Lead Finder, send outbound with Campaigns, and close deals - all right in your autonomous CRM. Live for all users today. clarify.ai/prospecting @getclarify

Full episode with @camplejohn, @patrickt010 and @sniyogi: → YouTube: youtu.be/6RQs_OgqqPM → Spotify: open.spotify.com/episode/4iUS7S… → Apple Podcasts: podcasts.apple.com/us/podcast/id1…

Keep an eye out for a big update from us next week!

@darian314 @Nasdaq Let's go!

Thank you @NASDAQ!

@darian314 @GradientVC @agarfinks @FortuneMagazine Y'all are legends 🙌🚀

We're thrilled to announce @GradientVC's Fund 5: $220M, oversubscribed, and fully independent. As @agarfinks wrote in @FortuneMagazine's Term Sheet this morning — we founded Gradient when nobody took AI seriously. Turns out that was the point. 📰 fortune.com/2026/03/17/goo…

@aikarjal We're building this at @getclarify, our previous company was a CDP, and now we're building a CRM that has a flexible data model and is connected to all of your customer data. Launching our agents framework soon on top of it!

Someone needs to build a company around Customer Context Graph. Collect all the threads – emails, meeting transcripts, slack messages, contracts, deliverables, detail, info, and config – from your customers into context that can be explored and queried by agents. This info is scattered between CRMs, ticketing systems, note takers, product, landing pages – it's inherently cross platform information. You need a new solution. Kind of how Segment did it trad SaaS apps. With this context, you can fire up Claude Cowork or similar for ad-hoc work or build extremely powerful agent automation flows. Expose the context as skills, MCP, and file system. Even better if you build it as open-source with a hosted option so people can take it on-prem as needed. Create a connector ecosystem around it. This will power every single next-gen AI-native full-stack business. Sort of like the context graph (@ashugarg @JayaGup10 ) that has been discussed recently but I'm thinking something very concrete: "Get me all the context about this particular customer." A customer-level, cross-system context substrate that agents can explore and act on

@bprintco We've been building this @getclarify. Agent-based + context-aware. We do have a pretty interface but you can do everything from the agent as well.

I see a lot of people posting about replacing their CRM with something they vibe coded. That’s cool. I love it. But what I haven’t seen yet is someone actually reimagining what a CRM should be in an AI world. Right now everyone is just rebuilding Salesforce with prettier buttons. I don’t want a better interface. I don’t want more dashboards. I don’t want another place to click around. I want a completely different way to interact with my business. I don’t want to: - search for a customer - open their record - pull up their estimate - copy/paste my line items - checkbox attachments - click send I want to pull out my phone and say: “Send John Smith an estimate for 3 acres at tier 2 brush density and tier 1 terrain.” And it just does it. Or: “Follow up on all pending estimates for the next 30 minutes. Give me a quick summary of each job and connect the call.” Or: “Which customers haven’t paid in 14 days? Text them a reminder and flag the ones that don’t respond.” Or: “Who are my top 10 repeat customers? Draft a thank-you email and a referral offer.” Or: “What jobs next week need equipment mobilized? Notify the operators and update the schedule.” That’s the CRM I want. I don’t want a Salesforce clone. I want someone to take this to the next level. There are some absolute killers out there right now building insane things. Someone is going to crack this. Build that please.

@adamwathan Thanks for sharing. ❤️ Mad respect for your contributions. You’re a legend.

🎧 Recorded a new morning walk this morning, hard one to share because I'm sure people will want to roast me for it but have been transparent up until now so publishing it anyways.

@benln We do #4 pretty well at @getclarify, plus it’s a full blown CRM that automates a lot of the pre/post follow-up.

Side-project ideas:

@matt_teeixeira @darian314 We got a few of those on the team!

@darian314 The "G'day" sounds very 🇦🇺

Salesforce is the AOL of the AI era - decaying slowly and not innovating Clarify is the CRM for the AI era and it’s why so many companies are switching! Let AI run your sales process and build a data model specifically for your business. Today they launched Rep and it’s just awesome 🚀 check it out:

Big news: we just launched Rep, your personal sales agent 😉 It preps your day, keeps deals moving, handles the busywork, and lets you ask anything about your pipeline. 👉See it in action below and try it for free here: clarify.ai/rep