TheFocus.AI Labs — reports from our team, to our clients, ourselves, and our agents
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How agents talk — to each other, to your tools, and to the world outside the box. The humans move up a level.
Issue No. 8 · Q3 2026 · 10 memos filed · binds Sep 30
Discoveries — draft findings for the quarterly retrospective
- 01
Labs is the magazine home again: quarters as issues, departments as lanes, twice-weekly filing into the open issue — with the newsletter as delivery, not a second archive.
↳ Introducing Labs · Jul 16
- 02
The field converged from every direction on one claim: the model is no longer the bottleneck — the harness, the context, and your attention are. Even the model vendors said it from their own keynotes.
↳ The World's Fair Report · Jul 15
- 03
Token costs reversed their multi-year decline mid-2026 — +29% intelligence-adjusted, +76% raw. If it holds, efficiency stops being optional and the token budget becomes a first-class design constraint.
↳ The World's Fair Report · Jul 15
- 04
Boring file architectures won retrieval: memory systems shipping with no vector database at all, embeddings reframed as cached compute, grep as the baseline.
↳ The World's Fair Report · Jul 15
- 05
Implementation got cheap, so the remaining work is getting the agent pointed at what you actually want — grill, spec, tickets with blocking edges — before anyone opens a PR to discover the plan.
↳ mattpocock/skills v1.1 · Jul 24
- 06
MCP grew a UI surface: the 2026-07-28 revision moved interactive widgets, tasks, and auth into negotiated extensions, with a stateless core so the USB port for agents can scale.
↳ Agents Get a UI · Jul 30
- 07
With A2A at v1.0 and MCP growing tasks and extensions, the protocols nearly rhyme by feature list — the real boundary is stance: MCP is a transparent workbench you compose, A2A is an opaque peer you delegate to. Choose the steps, or name the outcome.
↳ Where A2A Begins and Ends · Aug 4
- 08
Speed is a usability gate on top of quality ranking, not a substitute for it. whichllm's --speed fast floor (30 tok/s) will drop a higher-scoring quant before it will recommend molasses.
↳ whichllm: pick a local model that is actually fast · Aug 17
- 09
The phone-only project now has a front door: Grok Bot signs in with your Cursor account and hands repo work to a Cursor Cloud Agent, so the switchboard is something you text rather than wire. It only works if the environment was set up on Cursor first.
↳ Never Touch the Laptop · Sep 3
- 10
Jev is a classifier interface inside the model: you ask a fixed menu of judgments instead of continuing, completing, or calling tools. DeepSeek can return the same typed answers; speed and constraints are the difference — Jev’s p50 was 400 ms against 2,377 ms, and one wrong answer still came back at 0.98.
↳ Jev: Judging, Not Calling Tools · Sep 20
The log
- Measurement 010
- Measurement 009Drive Never Touch the Laptop: Running a Whole Project from Your Phone Grok Bot dispatching to Cursor Cloud Agents, Cursor environment setup, Amp orbs, Codex Cloud, and Claude Code on the web mapped across 13 axes — voice, secrets, MCP, previews, and the build loop — against the idealized phone-only project.
- Memo 008
- Memo 007
- Memo 006
- Measurement 005
- Memo 004
- Memo 003
- Memo 002
- Measurement 001
Get the dispatch.
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