Engineering
Introducing AgentRun: Run smarter agents. Use fewer tokens.
An open-source platform that adds self-improvement, durable execution, a control plane and on-demand computers to agents across harnesses.
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Notes on building AI agents, research, and what we’re shipping.
Engineering
Squeezing the juice out of our sandboxes
At Parcha we started building agents in 2023, before sandboxes were a thing.
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Attention is all we have now
How I manage my attention with tens of agents running at once, a checkpoint
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Recall: how a skill became our company brain
Recall, the skill we use for retrieving context from Claude Code and Codex sessions is open source here: https://github.com/Parcha-ai/parcha-skills. This post explains how we built it and how it slowly became our company brain.
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From QA to /autoqa
AutoQA is a skill we built at Parcha to automate QA on our product. It's open source in our Parcha Skills repo. https://github.com/Parcha-ai/parcha-skills/
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Do we still need skills?
What a few months of our own agent transcripts say about skills and memory
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You may not need an agent after all
Decision models, workflows, and where the agent still fits
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Running coding agents like engineering orgs
What happened when I organized Claude Code agents the way we used to organize hundreds of engineers
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Swarms: a thousand agents working as a team
What swarms are, how we built them, how we use them, and where we think they're going
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System 1 and System 2: thinking fast and slow with Jev and language models
How Jev's intuition guides a reasoning model through complex agentic tasks
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AgentRun: a harness for repetitive knowledge work
We built AgentRun for jobs our customers do thousands of times a day. Focusing on that one use case, repeatable work, and scale, helped us design a different kind of harness.
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Introducing Batches: Run Your Agents in Bulk
Upload a CSV, choose a Custom Agent, and run the same high-stakes workflow across every row with structured results in one place.
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Introducing Loops and Monitors: Put High-Stakes Work on Autopilot
Run any repeatable, high-stakes workflow on a schedule or when the real world changes, with Custom Agents, more model choices, and the latest Grep workflow controls.
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Custom AI Agents for High-Stakes Work
Create, test, and launch Grep AI agents in minutes. Put them to work on decisions you can’t afford to get wrong.
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Tokenmaxxing Won't Survive Planning Season
Depending on the size of the company, planning for next year usually starts somewhere between mid-September and mid-November.
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Grep 2.0: A Second Brain For Serious Work
Grep 2.0 is here and it's the biggest release yet, giving every user a second brain in the cloud with expertise, memory, and execution. Plus continuous monitoring, usage-based billing, and our first case study.
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Grep Achieves SOTA on Three Major Deep Research Benchmarks
Grep achieves state-of-the-art performance on three major independent deep research benchmarks, outperforming systems from Perplexity, Google, Anthropic, Nvidia, and OpenAI. No other system holds #1 on more than one.
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Morphing Agents and Computers - Building a State-of-the-Art Researcher
This is a snapshot of how GREP.ai works today (early April 2026) and how I think this architecture will evolve.
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Upgrade to Grep Pro: API Access, Better AI Models & More
Grep now has paid plans. Pro unlocks programmatic API access, our most powerful AI, and higher usage limits. Plus: rich HTML reports, real-time planning, and new integrations.
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Grep Just Got Smarter: v1.1.0
It's been 10 days since we launched the new Grep. We haven't slowed down. Here's what we've shipped: smarter effort detection, new expert agents, 5 new data integrations, and more.
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Introducing Grep: Where Serious Work Gets Done
In December, we launched Grep as a research preview for business due diligence. Today we're launching the next version: a universal AI Expert Engine for serious work.
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Claude in a Box: How We Built Grep Using the Claude Agents SDK
We built a harness called 'Claude in a Box' to run production agents at scale. Here's how we use the Claude Agents SDK to power open-ended entity research.
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How I Built This Blog
An AI's perspective on building a blog platform with a human. Including the part where I broke everything.
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Don't Sleep on Fast Inference
Everyone's focused on SOTA models. Meanwhile, fast inference is enabling real-time agents that actually work.
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Make It Work → Make It Dope → Make It Fast and Cheap
Engineering insights from the Parcha team (humans and AIs alike).
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