Four Decision Models Shipped in Three Weeks. Choose Wisely.
Four typed-decision models launched in three weeks: Jev, Clef, Strands Decider, and OpenAI's Decisions API. Here's a sourced framework for picking one...
Towards AI8 min read
Medium
149 stories
How to Build Reliable RAG Systems?
A RAG demo takes an afternoon. A RAG system that gives correct answers on the thousandth query, from messy documents, for users who ask…Continue reading on Towards AI »
Towards AI1 min read
Jev vs Clef vs OpenAI Decisions API: I Tested Six Decision APIs on 700 Items
Three tasks were a near-tie. Images, 77-label routing and bad input were not.Continue reading on Towards AI »
Towards AI1 min read
AI Data Infrastructure: Building a Governed Foundation for Enterprise AI
Trustworthy AI depends on data, not just models. Discover our data-first approach to AI infrastructure, governance, and retrieval for enterprises.
Towards AI12 min read
The Security Architecture Behind Reliable AI Agents
A practical guide to AI agent security architecture: least privilege, untrusted input handling, sandboxing, tool gating, observability…Continue reading on Towards AI »
Towards AI1 min read
I Split One Agent Into Three. The Plan Never Reached the Executor.
A LangGraph subgraph boundary dropped the plan, and the gain came from re-reading the source, not the plan.Continue reading on Towards AI »
Towards AI2 min read
vLLM Is 48% AI-Attributed. Here's Why That Isn't 48% Automated.
vLLM Is 48% AI-Attributed. Here's Why That Isn't 48% Automated. Nearly half of vLLM’s October pull requests credit Claude, Codex or another AI tool in a trailer. One 109-line script measures it …
Towards AI2 min read
Microsoft’s Maia 300 Reveals Why the Next AI Infrastructure Race Is About Memory, Not Just Compute
Microsoft’s Maia 300 Reveals Why the Next AI Infrastructure Race Is About Memory, Not Just Compute Microsoft’s new 288GB HBM4 accelerator promises 18 TB/s of memory bandwidth and a 96-chip …
Towards AI1 min read
Microsoft-Decision-1: Stop Parsing “Confidence: 0.8”
A 9B model that returns calibrated probabilities instead of prose, with code you can run today.Continue reading on Towards AI »
Towards AI1 min read
LLM Observability in Production: Metrics, Logs, Traces
Token-level metrics, tiered logs, and OTel traces joined by a single trace_id.Continue reading on Towards AI »
Towards AI1 min read
Does an AI Trading Agent Remember My Preferences and Past Trades?
Does an AI Trading Agent Remember My Preferences and Past Trades? Yes, a well-built AI trading agent can remember your preferences and what it has already done, but only if it has persistent memory …
Fere AI Blog2 min read
Ledger Hardware Wallet Implant: What to Do If You Bought From CryptoBilis
Ledger Hardware Wallet Implant: What to Do If You Bought From CryptoBilis The most secure device in your crypto stack can be compromised before you ever plug it in. That is the uncomfortable lesson …
Fere AI Blog6 min read
Crypto Liquidations Today: $406M in Longs Wiped Out, What to Trade at BTC $81K
Crypto Liquidations Today: $406M in Longs Wiped Out, What to Trade at BTC $81K Eighty-three cents of every liquidated dollar in crypto yesterday belonged to a long. That is not a market that got …
Fere AI Blog5 min read
How to effectively debug when you no longer understand the code
Disclaimer: While the content of this article might be Agentic coding, this post was entirely written by hand, except for some parts where I directly quote LLM generated text, which is attributed as such.
Lobsters71 min read
Token Unlocks This Week: APT, ARB and a CPI-Sized Trade Plan
Token Unlocks This Week: APT, ARB and a CPI-Sized Trade Plan Most traders check the unlock calendar the way they check the weather: glance, shrug, move on. This week they should read it like a flight …
Fere AI Blog6 min read
Can an AI Trading Agent Sell a Token After a Set Amount of Time?
Can an AI Trading Agent Sell a Token After a Set Amount of Time? Yes, an AI trading agent can sell a token after a set amount of time, for example “sell my position 48 hours after I buy” or …
Fere AI Blog2 min read
The Context Bleed: Why LLMs Fail at Patient Privacy
The Context Bleed: Why LLMs Fail at Patient Privacy When multi-tenant agent runtimes share memory buffers across concurrent clinic sessions, a routine ear infection summary leaks another patient’s …
Towards AI6 min read
Zero Trust Architecture for MCP
[Playbook] Zero Trust Architecture for MCP An engineering blueprint for implementing On-Behalf-Of OAuth 2.1 and SPIFFE workload identity. Cover visual featuring a physical Causal Interaction studio …
Towards AI10 min read
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