Using Slack as a "Knowledge Base"? Here's What You're Missing out on
Slack feels like a knowledge store because answers happen there. Its design actively destroys institutional knowledge. Here's why docs-as-code fixes it.
Blog
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When YOU are the Docs Team - Lessons from Working with Some of the Best Writers and Managers in the Industry
Whether you're the only technical writer at your company or leading the docs team, some of the structural challenges are similar: not enough resources to build infrastructure, a manager who doesn't know your craft, and an AI moment that's changing what the job entails.
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Help Center vs Docs-as-Code: When to Switch
A practical guide to choosing between a help center and docs-as-code, with specific signals for when to migrate and when to stay.
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Which Agent Memory Provider Should You Choose, and Why Memory Alone is not Enough
A practical guide to choosing an agent memory provider by workload, with clear tradeoffs, technical specs, and what to add so reliability holds up in production.
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How to Increase the Deflection Rate of Your Support Agent and Build a Feedback Loop
Most support agent deflection problems aren't model problems — they're documentation problems. Here's how to diagnose yours and build a feedback loop that compounds over time.
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What is Agent Context Engineering? And How is it Different from Prompt and Harness Engineering?
Learn what agent context engineering is, how it differs from prompt and harness engineering, why most agent failures are context failures, and a four-layer framework for building reliable AI agents.
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What It Looks Like When Your Docs Keep Up With Your Product
Three real workflows from teams using Promptless that show what changes when your tooling handles detection, context gathering, and the first draft.
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A Practical Guide on How to Optimize Your Docs for Agents
A practical guide for technical writers on adapting documentation for AI agent consumption, grounded in how agents actually access and use docs today.
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Ambient Capture: The Missing Layer in Modern Documentation
Ambient capture is the intelligent listening and recommendation layer for docs owners, continuously detecting docs-impacting changes so writers can focus on analysis and communication rather than surveillance.
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Why we're building Promptless
AI won't replace human labor. But people that use AI well will replace those that don't. Promptless exists to make sure as many people as possible are in the first group.
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Parrots are underrated pets and tools
You know dozens of useful heuristics but can't hold them all in your head while doing actual work. LLMs can run those obvious-in-hindsight checks in parallel in the background, acting as cognitive prosthetics that apply known wisdom continuously so you don't have to remember to.
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Writing code was hard, actually
The revisionist claim that writing code was never the hard part arrives conveniently at the moment AI makes it cheap to produce. But the market, the machine, and the engineers who built it all tell a different story.
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"I Have No Mouth, and I Must Scream"
What happens when you give an AI agent a Slack channel to complain in.
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Launch Week: December 2025
Five major features we launched this December, from custom voice matching to automated screenshot updates.
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Running a Lightweight Research Paper Club
How we run a weekly paper club at Promptless that's surprisingly useful, surprisingly easy, and has led to tangible product improvements.
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How Vellum uses Promptless to draft over 50% of their doc updates
By democratizing documentation contributions, every team member now drives content—making docs a true team sport powered by Promptless.