Since the JSON extras API is a bit difficult to explain without an example, I also had Fable 5 and GPT-5.5 collaborate on this custom API exploration tool to test the new feature https://tools.simonwillison.net/datasette-extras-explorer#url=httpslatest.datasette.iofixturesfacetable.json_size1_facetstate&extras=countcount_sqlexpandable_columnsfacet_results
…
CODE
-
JSON Extras API Explorer with Fable 5 and GPT-5.5
By
–
-
Deep Research integrated as a native capability in Computer
By
–
We're integrating Deep Research as a native skill inside Computer.
— Perplexity (@perplexity_ai) 11 juin 2026
It now connects to the agent harness that powers Computer, with access to search as code generation, long running sandboxes, connectors, tools, and licensed data.
Available now to Pro and Max subscribers. pic.twitter.com/uHpVISkh2PWe are integrating Deep Research as a native capability inside Computer. It now connects to the agent harness that powers Computer, with access to research in the form of code generation, long-lived sandboxes, connectors,
-
Duration of work sessions and cost comparison between Codex and Fable
By
–
It really depends on the duration of your work sessions. I run loops on Codex on average for 5/10 hours. This would be incredibly expensive with Fable.
-
GoalOS-native α‑AGI Ascension using AGIALPHA GitHub repository
By
–
GoalOS-native α‑AGI Ascension using AGIALPHA GitHub : https://
github.com/MontrealAI/goa
los-agialpha-ascension
… #AGIALPHA #AGIAscension -
Prompt and loop prevent Fable 5 token waste
By
–
prompt sets goal, context, boundaries, and verification. loop handles time: effort level, checkpoints, verifier subagents, and stop rules so Fable 5 does not burn 500k to 1M tokens unchecked.
-
Workflow: Fable plans, Codex executes
By
–
Basically, here is my workflow now:
– Fable writes a detailed plan as an md file
– Send this file path to Codex with /goal -
50+ free open-source AI Agent and RAG apps
By
–
Also check out Hands on AI Engineering! 50+ AI Agent & RAG apps. 100% free and Open source.
-
Jack Dorsey’s $40B Payments Company Open Sources AI Agent Goose
By
–
A $40 billion payments company gave away its internal AI agent for free. Most AI agents lock you into one model or vendor. Switching providers usually means rebuilding your whole setup. Jack Dorsey's $40B company open sources an AI agent called goose. It takes a different
-
Inside look: fastest way to ship a production Deep Agent
By
–
An inside look at the fastest way to ship a production Deep Agent
-
Runtime Managed Deep Agents: durable threads, streaming, checkpoints, human intervention
By
–
The Managed Deep Agents runtime supports:
— LangChain (@LangChain) 11 juin 2026
✅ Durable threads
✅ Streaming runs
✅ Checkpointing
✅ Human-in-the-loop workflows
You can also use the API to create agents, update their configuration, create threads, and stream runs from your own product or platform workflow. pic.twitter.com/mkLRDcJK2xThe Managed Deep Agents runtime supports: Durable threads Streaming executions Checkpoints Workflows with human intervention You can also use the API to create agents, update their configuration,