Autoblocks 2.0

Seeko OpenClaw Blog About Clutch AI Teammates Work with us We make AI work for your business. We work hands-on with mid-market teams to find the highest-leverage AI opportunities, build working systems in focused sprints, and deploy them securely on Clutch. You own everything we build. Work with us See Clutch → Insights from 280+ interviews with leaders from How we work Audit. Transform. Operate — a clear path forward. 01 AI Audit $7,500 · 1-2 weeks Full assessment of your workflows, tools, and AI readiness. Identifies the top 3-5 automation opportunities with ROI estimates. Works as a standalone deliverable or scopes the program. 02 Transformation Program $40-60K · 2-3 months 2-3 implementation sprints, each delivering a working AI system in 2-4 weeks. Scoped from the audit. Built to ship. 03 Managed Ops $5,000/mo · Ongoing Ongoing monitoring, optimization, and expansion of deployed AI systems. SLA-backed support and quarterly reviews. Kicks in after a program. Tell us what you're working on → Haroon Choudery Founder, Seeko Haroon has spent the last decade building AI infrastructure and advising the teams deploying it. He built Autoblocks, the evaluation and observability platform used in production by companies like Hinge Health and ClickHouse. He writes to 50,000+ subscribers at AI Ready and hosts conversations with engineering leaders at OpenAI, Intercom, and Retool. Previously: ML systems at Deloitte, early team at Hex. In 2017, he co-founded AI For Anyone and taught 70,000 students about AI (covered by CNBC). At Seeko, he works directly with teams. Solo on audits, or with specialists from his network on Transformation Programs. 50,000+ newsletter subscribers CNBC → featured in Autoblocks AI evaluation platform (founder) About Haroon → When your program calls for agent deployment: Clutch Deploy a team of AI employees. Securely. Clutch is the platform we built for deploying and managing AI employees in production — with the security, access controls, and monitoring your organization needs. Zero-trust isolation Every AI employee runs in its own sandboxed environment. No shared state, no lateral movement. Credential management Securely provision and rotate credentials without exposing secrets to AI systems. Fleet dashboard Monitor every AI employee across your org — status, outputs, costs, errors — in one view. RBAC & audit trails Control who can deploy, modify, or retire AI employees. Full audit log for compliance. Learn more about Clutch Powered by OpenClaw Our approach is built on a pattern we see with every client: “ The best AI systems evolve. They start flexible — exploring, figuring out the right workflow — and over time, the stable patterns crystallize into reliable, fast code. The AI handles what's novel. Everything else hardens into infrastructure your team owns. An ops team spent 8 hours a week on customer reports. After a two-week sprint, that's automated — and the team owns the system. From our research on how AI systems mature — read more on our blog → Get started Ready to see what AI can do for your business? Tell us what you're working on.Fill this out and Haroon will get back to you within 48 hours.Company size1–1011–5051–200201–500500+Get in touch Common questions What does a typical engagement look like? + Most clients start with an AI Audit ($7,500, 1-2 weeks) — we assess your workflows, map where AI creates the most leverage, and scope 2-3 implementation sprints. From there, a Transformation Program ($40-60K, 2-3 months) puts working systems into production. Some teams start with strategy only, others jump straight to building. We scope everything after a first conversation. Can we just do the audit? + Yes. The AI Audit works as a standalone deliverable. You get a prioritized roadmap with ROI estimates for your top automation opportunities. Many companies use it to build internal alignment before committing to a full program. Do we need a technical team? + It helps, but we work with teams at every level of AI maturity. Part of our job is making sure your people can operate and extend whatever we build together. How is this different from a training workshop? + Workshops teach theory. A Transformation Program finds the specific workflows eating your team's time, then builds the systems that handle them across multiple sprints. Your team learns by shipping real systems. What is Clutch? + Clutch is the platform Seeko built for deploying and managing AI employees in production. It handles zero-trust security isolation, credential management, monitoring, and team access control. When agent deployment is the right solution within a Transformation Program, we deploy on Clutch. Do we need to use Clutch? + No. We work with whatever infrastructure you have. But when agent deployment is the right solution, Clutch handles the operational problems that come after: credential management, monitoring, team access, and zero-trust isolation. How is this different from just using OpenClaw? + OpenClaw is brilliant for a single agent on a single machine. But Jensen Huang said it best — every company needs an OpenClaw strategy. Clutch is what you need when that strategy goes to production: a team of AI agents across your org with zero-trust isolation, credential management, and full audit trails. Seeko helps you figure out the strategy. Clutch runs it. Let's figure out what AI looks like for your business. Tell us what you're working on — or what you're trying to figure out. Haroon will get back to you within 48 hours. Work with us --- Seeko OpenClaw Blog About Clutch AI Teammates Work with us About I'm Haroon Choudery. I'm the founder of Seeko. I've spent the last several years building AI infrastructure. I built Autoblocks, one of the first evaluation and observability platforms for AI systems. Engineering teams at companies like Hinge Health and ClickHouse use it to make their agent systems reliable in production. I write AI Ready, a newsletter on AI readiness that goes out to 50,000+ subscribers. And I host AI Ready, a show where I talk with engineering leaders at companies like OpenAI, Intercom, and Retool about how they actually build with AI. Before all of that: ML consulting at Deloitte, early team at Hex, co-founder of AI For Anyone. Why Seeko I started Seeko because I kept having the same conversation. Engineering leaders would reach out after reading the newsletter or hearing me on a podcast. They'd say something like: "We're using Copilot, we've built a couple internal tools, but we don't really have a strategy. We're not sure what to build next or how to think about this." They didn't need a training workshop. They didn't need a 200-slide deck from a consulting firm that's never shipped a model. They needed someone who'd actually been in the room, building this stuff, to sit with their team and figure it out together. That's what Seeko does. We help mid-market teams figure out where AI creates real leverage, then build it. Every engagement starts with an audit, then moves into a multi-month Transformation Program where we ship working AI systems in fast sprints. We don't just advise. We build. Seeko is a small, hands-on practice. Depending on the engagement, I work directly with your team or bring in specialists from my network. Either way, I'm involved in every project. You get senior attention from day one, not a junior associate learning on your codebase. The thesis There's an idea that runs through everything we do at Seeko. The best AI systems don't stay experimental forever. They start flexible: exploring, figuring out the right workflow. Over time, the stable patterns crystallize into reliable, fast, deterministic code. The AI handles what's novel. Everything else hardens into infrastructure your team owns. Most companies are somewhere on this spectrum, and almost all of them think they're further along than they actually are. That gap between perception and reality is where the most important work happens. We write about this regularly in the newsletter and on the blog. AI Ready AI Ready is where most people find me. It's a newsletter about AI readiness: how teams are actually building with AI, what's working, what isn't, and what the patterns look like when you zoom out. It's not news roundups or product announcements. It's the stuff I'm learning from working with teams and building systems myself. 50,000+ people subscribe. If you want to understand how I think about this space, that's the best place to start. Subscribe to AI Ready → Get in touch If you're working on something where AI should be playing a bigger role, and you're not sure where to start or what to do next, tell us what you're working on (or just reply to any newsletter issue). I read everything. --- Seeko OpenClaw Blog About Clutch AI Teammates Work with us OpenClaw Strategy "Every company needs an OpenClaw strategy." — Jensen Huang, CEO of NVIDIA · GTC 2026 Your OpenClaw strategy,built by practitioners. Book a strategy call 200K+ GitHub stars Deployed for enterprise teams OpenClaw-native, no lock-in The problem What is an OpenClaw strategy? Most companies fall into one of two traps: ignoring OpenClaw entirely, or letting individual teams experiment without a plan. Both are expensive. An OpenClaw strategy is a concrete plan for how your organization will identify, deploy, secure, and scale AI agents — so you capture the productivity gains without the risk. 01 Identify Workflows Map the workflows where AI agents create the most leverage — and where they don't. 02 Design Architecture Choose the right agent architecture for each use case. Not everything needs full autonomy. 03 Deploy Securely Isolate infrastructure, lock down credentials, and audit every skill before it touches production. 04 Manage at Scale Governance, monitoring, and guardrails that grow with your agent fleet — not just your first deployment. 05 Measure ROI Track time saved, error reduction, and cost per workflow — so you know what's working and what to expand. Why Seeko We're not advisors who read a whitepaper. We build this stuff. Practitioners, not advisors We built Autoblocks — one of the first AI evaluation platforms, used in production by Hinge Health and ClickHouse. We code alongside your team, not above them. 280+ production interviews Through AI Ready, we've interviewed 280+ leaders about what's actually working in production. We don't guess — we know the patterns. Built the deployment platform We built Clutch — a full-stack platform for deploying AI teammates. We understand the entire stack from agent architecture to production infrastructure. OpenClaw-native, no lock-in We build on standard OpenClaw. No proprietary wrappers, no vendor lock-in. You own everything we build, and your team can maintain it independently. How we work Three phases. Clear deliverables. 1-2 weeks AI Audit We audit your current workflows, interview key stakeholders, and identify the highest-leverage opportunities for AI agents. You get a prioritized roadmap with ROI estimates. 2-3 months Transformation Program 2-3 implementation sprints scoped from the audit. Each sprint deploys agents on isolated, secure infrastructure with credential vaults, monitoring, and team onboarding. Ongoing Managed Ops Monitoring, optimization, and expansion of deployed agents. SLA-backed support, quarterly reviews, and security kept current as the ecosystem evolves. Your strategy, deployed Meet Clutch Clutch is our platform for deploying AI teammates — the infrastructure layer that turns your OpenClaw strategy into running agents. When you're ready to scale beyond individual deployments, Clutch gives your team a single pane of glass for managing agents across the organization. Learn more about Clutch → Ready to build your OpenClaw strategy? Tell us what you're working on. Haroon will get back to you within 24 hours. Work with us --- Seeko OpenClaw Blog About Clutch AI Teammates Work with us Blog All StrategyFrom the FieldArchitecture Strategy AI-Native Engineering Is Boring (That's the Point) Everyone has access to Claude Code and Cursor. 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FEB 2026 · 7 MIN READ Architecture Agent-Native Systems Become More Deterministic Over Time, Not Less The counterintuitive truth about agent-native architecture: the best systems start flexible and gradually harden into mostly-deterministic code. The agent's job is to explore, then get out of the way. FEB 2026 · 8 MIN READ