Every other AI tool starts from zero and forgets you the moment you close the tab — so you spend your day re-explaining the same context. Haverstock is built the other way round: one brain learns your business once, and a whole studio of specialist agents shares it. Explain yourself once — every agent already knows.
Point tools start cold on every task, so you burn your day re-explaining the same things — your codebase, your customers, your rules. Haverstock learns all of it once: your docs, code, PDFs and the open web, organised into living "brains" and answered with citations. Every agent in the studio plugs straight into her — so you never explain yourself twice, and nothing you've taught the system is ever lost.
A ⌘K ask bar over everything Haverstock knows. Answers come back grounded in real sources — never invented — with links straight to the documents, code and pages they came from.
Devices are provisioned over a USB serial window with a per-device broker credential, then verified against the middleware…
Separate brains per project, team or product — plus a super-brain that reasons across all of them.
Point Haverstock at a URL, a repo or a PDF and she ingests text and figures on the spot — no batch pipeline.
Exposed as a Model Context Protocol server, so any agent or IDE can
recall, ask and remember.
Native web search for cited links; document vision for diagrams, tables and drawings inside PDFs.
Buy a point tool and it knows nothing about you. Every agent here starts already knowing your business — because they all share Haverstock's memory. So the studio compounds: each agent you add makes the rest smarter, instead of being one more disconnected app to set up. Pick the job — the context is already there.
The brain. A living, multi-brain memory that learns from your docs, code and the web, and answers with citations — the shared memory every other agent in the suite reads from.
Design systems on a visual canvas where nodes are real services. Run a Brain review to score the design out of 100 with concrete patches.
Learns a new data schema and designs the screens to match — forms, tables and detail views, generated and ready for an admin to publish.
An autonomous build orchestrator. Hand it a spec and Haverstock's context, and it drives the coding agent to a finished result — no babysitting.
Define your objects once and Nova runs the whole app inside the AI — Haverstock is the runtime. No forms to wire, no CRUD to write.
Turns Haverstock's memories and your bug reports into executable regression tests in your repo's own framework — so what you fixed stays fixed.
Turns a repository into a complete manual — crawls your code and notes, generates architecture diagrams and screenshots of the live app.
The connector. A visual, drag-and-drop automation builder that wires your apps, APIs and agents together — triggers, conditions and actions.
Watches your event streams for free — rules and statistics catch the anomalies, and Haverstock explains the ones that matter with an evidenced verdict.
The preflight gate for videos, decks and diagrams — lints, watches the frames with vision, and learns which warnings you waive.
One canonical work spine for bugs, issues and features across the whole studio — logged, triaged and linked straight back to the brain.
Define a report once; every run pulls live data, writes a grounded narrative and ships an HTML/PDF — on a schedule, with deltas since last time.
A sellable CMS and page-builder that dogfoods thinkclara.ai itself — pages and content backed by the same brain the agents share.
Audits a site for search and AI-answer visibility, scores it, and hands prioritised fixes to the studio — across your whole fleet at once.
Turns what the studio actually shipped into posts, campaigns and demos — every claim backed by a receipt, every post approved by you first.
Pipeline, contacts, quotes and invoices that live in the brain — so every deal remembers its own history and the next step writes itself.
Roadmap, go-to-market and pricing weighed against your actuals — the studio's direction desk, grounded in the same brain everything else uses.
A chatbot that drops into your own product, answering from Haverstock's knowledge with strict scope control so it only speaks to what it should.
One inbox for customer support across every channel — Haverstock drafts the replies, auto-resolves the easy ones and hands the rest to Izzy.
Where the suite meets the physical world — device telemetry plus a voice-and-avatar front end that can see, speak and respond.
The brain is the platform. New agents plug into the same memory — so the suite grows without you ever relearning your world.
Connect your sources — repos, documents, live systems. Haverstock reads them so you never have to explain them again.
Design with Archie, build with Cody & Nova, grow with Serena & Remy, support with Sunny. None of them start cold — they all draw on the same memory.
Add a new agent tomorrow and it already knows everything the others do. The studio gets smarter the more of it you run.
The Haverstocknites are the developers and architects behind Haverstock and the whole Agent Studio suite. Bring them onto your project and they'll help you design, build and ship your own AI product — on the same foundations we run ourselves.
Sit down with senior architects to map your systems, pick the right model and design an agent architecture that scales — the way Archie scores ours.
We build your agent on Haverstock's knowledge engine — memory, retrieval, tools and guardrails — tuned to your domain and your data.
Wire your agent into the tools you already run — APIs, data sources and workflows — using the same connector fabric that powers Bridget.
Ship it: an embeddable assistant in your product, deployed to your cloud, with documentation and a team that stays on to help you run it.
A focused workshop that turns your idea into a scoped architecture and a build plan — usually a week or two.
We design and deliver a defined product or agent end-to-end, on a clear timeline and budget.
Haverstocknite architects and engineers join your team for the long haul as a fractional, senior AI unit.
The gap in AI tooling isn't intelligence — it's memory. Every tool starts cold, so you spend your day re-explaining the same context. We built Haverstock to close that gap: one knowledge engine, learned once, shared by a suite of agents that each do one job exceptionally well.
Agent Studio is a growing family of products built on one principle — a studio of agents, one brain. Every agent inherits the same memory, so the more of the studio you run, the smarter all of it gets. That's the opposite of a drawer full of disconnected tools that each start from nothing.
Get early access to Haverstock and the Agent Studio suite — one brain your whole team can build on.
No spam. We'll reach out from thinkclara.ai.