Claude Fable 5.1 cuts agent costs
Big model day, small excuse to wait. The strongest updates here are about shipping more capable agents without letting video bills, private files, or batch jobs get in the way.
In today’s edition
- Claude Fable 5.1 is available today, with lower cache-read costs aimed at reducing agent workload spend.
- Gemini’s agentic video understanding can analyze long videos using up to 88% fewer tokens.
- Perplexity Computer can now keep sensitive Mac files local while using cloud models for planning.
- Replit MCP lets ChatGPT, Claude, Slack, and other MCP clients manage Replit Apps from chat.
Claude Fable 5.1 lands with cheaper agent runs
Claude Fable 5.1 is now available everywhere, positioning a more capable coding and knowledge-work model as a direct option for long-running agent workflows.
- Claude says Fable 5.1 is built for complex, long-running tasks and research work.
- On Terminal-Bench 4.0, Claude reports a 55.8% score for Fable 5.1, versus 42.0% for Fable 5.
- Cache reads cost 75% less than before, which Claude says can reduce typical workload costs by around 25%.
- For highly agentic workloads, Claude says the practical cost reduction can reach 45%.
What it means Test Fable 5.1 on your longest coding and agent loops first, where cheaper cache reads could improve both task quality and unit economics.
Source: claudeai
Gemini gets selective about long videos
Gemini’s latest models can now take a goal-directed approach to video analysis, choosing what to inspect across frames, audio, and transcripts instead of scanning every file at a fixed rate.
- Google DeepMind says the feature delivers better video-analysis accuracy while using up to 88% fewer tokens.
- The model dynamically adjusts frame rate to find the moments needed for a task.
- The biggest efficiency gains are aimed at long-form video, from 10-minute guides to multi-hour content.
- Google AI Studio also published a developer guide for getting started with agentic video understanding.
What it means Revisit video-heavy workflows now, because selective analysis can make searchable archives, call review, and long-form content agents far cheaper to run.
Source: GoogleDeepMind
Perplexity splits private work from cloud work
Perplexity Computer can now start a task in the cloud and shift sensitive steps to a local model running on your Mac.
- Hybrid compute is available today in the Perplexity Mac app.
- Cloud models handle search, planning, and reasoning, while local models handle private files or sensitive information.
- Perplexity says the system combines the work into one output without sending sensitive data to the server.
- A privacy gate detects PII before it leaves the device, and Perplexity is open-sourcing that classifier.
- The feature is available for Pro, Max, and Enterprise subscribers on macOS 15+.
What it means Use hybrid designs as a product pattern for privacy-sensitive agents, keeping planning in the cloud while routing customer documents and personal data to local compute.
Source: perplexity_ai
Replit MCP puts app operations in chat
Replit MCP lets MCP clients steer Replit’s agent and manage Replit Apps from the tools where teams already work.
- Replit says its power users have used MCP to create, find, inspect, update, and publish apps since the beta release.
- The company says you can use Replit MCP from ChatGPT, Claude, Slack, or any MCP client.
- Examples include running a property business through a fleet of apps from chat.
- Users have also audited 50+ apps with scorecards in one prompt and checked every Replit app database in one sweep.
What it means Connect Replit MCP to your team’s preferred AI client and try managing a portfolio of apps, audits, or maintenance checks through one conversational control layer.
Source: Replit
Airtable was just acquired - do you need to migrate?
A look at whether Airtable users need to migrate after its acquisition.
Watch on YouTube →