The signal, with the sources / English edition

AI agents, explained
for the work ahead.

Understand what changed.
Know what still needs proving.

Primary-source analysis, reference guides and practical tools for people putting AI to work.

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Keep these close

Reference guides

Methods and boundaries to return to. Source check dates show our review activity, not a new product release.

From reading to doing / Practical tools

Before you trust an agent,
define a fair trial.

Choose the task. Set its boundaries. Record what happened, including the time you spent fixing it.

Open the evaluation planner

Free to use in your browser. You run the trial.

A plan, before a promise

Define the work

One task. An output you can check.

Set the boundary

Permitted actions. A repeatable reset.

Keep the whole record

Pass, fail, or still unverified.

An empty record is more honest than an assumed result.

The reading desk

All on the reading desk

Developments and reference guides. Publication dates and source check dates are different things.

AgentsReference guide

How to evaluate an agent beyond its best demo

Define the final outcome, preserve failed attempts and measure correction effort. A synthetic invoice example shows how to turn that advice into a usable evaluation.

Sources checked
Sources checked 3 min readRead

Go to the original

The source desk.

The documents behind the analysis. Publication dates and our check dates are different things.

How we use sources
01
Liquid AI: Run fast, private agents on-device with LFM2.5-24B-A2B huggingface.co

Source published:
Our check:

02
Liquid AI LFM2.5-24B-A2B model card huggingface.co

Source published: Not stated
Our check:

03
LFM Open License v1.0 huggingface.co

Source published: Not stated
Our check:

04
Google DeepMind: Accelerating the search for antimicrobial peptides with Google Antigravity deepmind.google

Source published:
Our check:

05
A2A and MCP: Detailed Comparison a2a-protocol.org

Source published: Not stated
Our check:

06
MCP: The 2026-07-28 Specification blog.modelcontextprotocol.io

Source published:
Our check:

07
Anthropic: Demystifying evals for AI agents www.anthropic.com

Source published:
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08
Anthropic computer-use documentation platform.claude.com

Source published: Not stated
Our check:

09
METR: Task-Completion Time Horizons of Frontier AI Models metr.org

Source published: Not stated
Source updated:
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10
METR: Time Horizon 1.1 metr.org

Source published:
Our check:

Our working method

A claim is a starting point.

Read the standards
  1. Read the original.Source checking and drafting are AI-assisted. Primary documents stay linked.
  2. Name the boundary.Distinguish vendor claims, research findings and editorial implications.
  3. Keep the unknowns.SI Microstudio is responsible for the publication. Source analysis is not a hands-on test.