AI Engineer (full channel)
Every upload from the AI Engineer channel, tracked daily. The pool that curated collections split off from.
Event 8
Track 17
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76 ↑684
Cohere: Building enterprise LLM agents that work (Shaan Desai)
3.4K views 72 likes 2 comments
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77 ↑690
Agent Evals: Finally, With The Map
3.3K views 53 likes 0 comments
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78 ↑698
Your Evals Are Meaningless (And Here’s How to Fix Them)
3.2K views 60 likes 4 comments
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79 ↑712
Every Solo Agent Builder Eventually Reinvents a Worse Version of CI/CD - Sumaiya Shrabony
3.1K views 50 likes 5 comments
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80 ↑713
The Cure for the Vibe Coding Hangover — Corey J. Gallon, Rexmore
3.1K views 93 likes 11 comments
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81 ↑713
How to Build Trustworthy AI — Allie Howe
3.1K views 68 likes 2 comments
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82 ↑717
The Model Isn’t Wrong—You’re Just Bad at Prompting
3K views 76 likes 5 comments
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83 ↑719
The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly
2.9K views 49 likes 5 comments
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84 ↑723
The Prompt Is Still a Punch Card - Ted Johnson, JoinIn AI
2.9K views 55 likes 3 comments
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85 ↑728
Stop Writing Tone Instructions. Layer Them. - Isadora Martin-Dye, Isadora & Co
2.8K views 59 likes 5 comments
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86 ↑735
MCP Agent Fine tuning Workshop - Ronan McGovern
2.8K views 90 likes 5 comments
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87 ↑736
Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo
2.7K views 93 likes 7 comments
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88 ↑737
Text-to-Speech Data Preparation and Fine-tuning Workshop - Ronan McGovern
2.7K views 93 likes 1 comments
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89 ↑727
The Missing Layer After Launch - Raphael Kalandadze, Wandero AI
2.7K views 55 likes 12 comments
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90 ↑741
The Miranda Hypothesis: How Hamilton Poisoned Persona Evals - Jacob E. Thomas, Results Gen
2.7K views 23 likes 0 comments
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91 ↑735
Agents are Robots Too: What Self-Driving Taught Me About Building Agents — Jesse Hu, Abundant
2.6K views 54 likes 3 comments
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92 ↑737
The AI bugpocalypse is here. Now what? - Jack Cable, Corridor
2.6K views 40 likes 3 comments
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93 ↑737
Agentic Enterprise - What your CEO must know about AI - Hubert Misztela
2.6K views 62 likes 2 comments
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94 ↑739
Platforms for Humans and Machines: Engineering for the Age of Agents — Juan Herreros Elorza
2.6K views 43 likes 1 comments
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95 ↑747
I Run a Fleet of AI Agents Across Three Machines. Here's What Broke. - Kyle Jaejun Lee, KRAFTON
2.5K views 72 likes 8 comments
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96 ↑749
Break It 'Til You Make It: Building the Self-Improving Stack for AI Agents - Aparna Dhinakaran
2.5K views 53 likes 1 comments
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97 ↑752
Agents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGov
2.5K views 65 likes 0 comments
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98 ↑750
WTF do people use Open Models for??
2.5K views 36 likes 18 comments
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99 ↑754
The Coherence Trap: Why LLMs Feel Smart (But Aren’t Thinking) - Travis Frisinger
2.4K views 65 likes 4 comments
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100 ↑754
Breaking the Chain: Agent Continuations for Resumable AI Workflows - Greg Benson
2.4K views 59 likes 5 comments