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Workflow

Discovery-to-brief in 15 minutes

5 steps: Get the customer's consent before recording, then record with a notetaker your company has approved (e.g. Fathom, Granola). If there is no recording, use your typed notes.

FDE Radar · 2026-10-16
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1. Get the customer's consent before recording, then record with a notetaker your company has approved (e.g. Fathom, Granola). If there is no recording, use your typed notes.
2. Paste the transcript into your AI tool with the 'deal summary' prompt.
3. Ask it to list every assumption not stated by the customer.
4. Fix gaps with the user, then generate a 5-bullet brief for the AE and a follow-up email draft (use the second prompt). Do not send the email.
5. The user logs the brief in CRM and sets next-step dates.
Workflow

Account research before first call

5 steps: Ask the user to paste the company's public info (site pages, latest 10-K or press releases) and the attendees' titles. If you have web access, you may read public pages yourself; cite the URL for every fact. Do not scrape LinkedIn.

FDE Radar · 2026-10-16
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1. Ask the user to paste the company's public info (site pages, latest 10-K or press releases) and the attendees' titles. If you have web access, you may read public pages yourself; cite the URL for every fact. Do not scrape LinkedIn.
2. Summarize business model, recent changes and likely priorities. Label every inferred pain or priority HYPOTHESIS.
3. Generate 10 discovery questions ranked by importance.
4. Flag 3 'not a fit' signals to watch for.
5. Return a one-page call plan with these sections: business model, recent changes, likely pains (hypotheses), 10 ranked questions, 3 not-a-fit signals, open questions.
Workflow

Tailored demo in an hour

5 steps: List the top 3 pains from discovery.

FDE Radar · 2026-10-16
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1. List the top 3 pains from discovery.
2. Prompt the demo-story template to map pain → feature → outcome.
3. Generate fake but realistic demo data as CSV; the user loads it into their sandbox.
4. Run the 'pre-mortem my demo' prompt as the skeptical buyer.
5. Suggest the user record a 3-minute walkthrough (e.g. Loom) for async stakeholders.
Workflow

POC scope that gets signed

5 steps: Draft the scope with the POC prompt (objective, criteria, timeline, owners).

FDE Radar · 2026-10-16
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1. Draft the scope with the POC prompt (objective, criteria, timeline, owners).
2. Pressure-test each success criterion for measurability.
3. Review with the champion; agree on pass/fail before kickoff.
4. Turn the timeline into a shared checklist with dates.
5. Draft a recap email confirming criteria in writing for the user to review and send.
Workflow

Agent POC with evals

5 steps: Pick one narrow task and collect 20–50 real example inputs (with permission).

FDE Radar · 2026-10-16
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1. Pick one narrow task and collect 20–50 real example inputs (with permission).
2. Build the first version with an agent framework (e.g. LangGraph, OpenAI Agents SDK).
3. Write expected outputs and pass/fail checks for each input (first prompt), then run them through an eval tool (e.g. promptfoo, now part of OpenAI and still MIT open source, or DeepEval).
4. Trace failures with an observability tool (e.g. Langfuse, now part of ClickHouse and still open source, or LangSmith).
5. Report pass rate against the agreed criteria with the second prompt, not vibes. A zero-tolerance check that fails means the POC fails, whatever the average.
Workflow

Security questionnaire first pass

5 steps: Gather your approved security docs (SOC 2 summary, DPA, architecture).

FDE Radar · 2026-10-16
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1. Gather your approved security docs (SOC 2 summary, DPA, architecture).
2. Prompt the AI to answer only from those docs and mark gaps NEEDS REVIEW.
3. Route NEEDS REVIEW items to security/legal owners.
4. Store final, approved answers in your RFP tool (e.g. Loopio, or Responsive, formerly RFPIO) for reuse.
5. Track turnaround time per questionnaire.
Prompt

Discovery call prep

I have a discovery call with [COMPANY], a [INDUSTRY] company, with [ROLE OF ATTENDEES]. Our product does [ONE-LINE PRODUCT]. Using only publ

FDE Radar · 2026-10-16
Show prompt
I have a discovery call with [COMPANY], a [INDUSTRY] company, with [ROLE OF ATTENDEES]. Our product does [ONE-LINE PRODUCT]. Using only public info I paste below, list: 5 likely business pains, 10 open-ended discovery questions ranked by importance, and 3 signals that this is NOT a fit. Info: [PASTE]
Prompt

Turn call notes into a deal summary

Here are raw notes from a discovery call: [PASTE]. Rewrite them as: current state, desired outcome, metrics they care about, decision proces

FDE Radar · 2026-10-16
Show prompt
Here are raw notes from a discovery call: [PASTE]. Rewrite them as: current state, desired outcome, metrics they care about, decision process, technical environment, risks, and open questions. Flag anything I assumed but they did not say.
Prompt

Map the stakeholders

From this email thread and call notes [PASTE], build a stakeholder map: name, title, what they care about, likely objection, influence (high

FDE Radar · 2026-10-16
Show prompt
From this email thread and call notes [PASTE], build a stakeholder map: name, title, what they care about, likely objection, influence (high/med/low). Suggest one question to ask each person next.
Prompt

Build a tailored demo story

Our product features: [LIST]. Prospect pains from discovery: [LIST]. Build a 20-minute demo flow: opening hook tied to their top pain, 3 sce

FDE Radar · 2026-10-16
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Our product features: [LIST]. Prospect pains from discovery: [LIST]. Build a 20-minute demo flow: opening hook tied to their top pain, 3 scenes (pain → feature → outcome), and a close asking for a specific next step. Cut any feature that doesn't map to a pain.
Prompt

Generate realistic demo data

Generate 25 rows of realistic but fake sample data for a [INDUSTRY] demo of [USE CASE] as CSV with columns [COLUMNS]. Include 3 edge cases t

FDE Radar · 2026-10-16
Show prompt
Generate 25 rows of realistic but fake sample data for a [INDUSTRY] demo of [USE CASE] as CSV with columns [COLUMNS]. Include 3 edge cases that would make the demo more convincing. No real company or person names.
Prompt

Pre-mortem my demo

Here is my demo outline: [PASTE]. Act as a skeptical [BUYER ROLE]. List the 7 moments where you would lose interest or push back, and how I

FDE Radar · 2026-10-16
Show prompt
Here is my demo outline: [PASTE]. Act as a skeptical [BUYER ROLE]. List the 7 moments where you would lose interest or push back, and how I should fix each.
Skill

Python

Free: LearnPython.org

LearnPython.org · 2026-10-16
Skill

SQL

Free: SQLBolt

SQLBolt · 2026-10-16
Tool

Navattic

Interactive demos

navattic.com · 2026-10-16
Tool

Reprise

Demo sandbox/overlay

reprise.com · 2026-10-16
Tool

Walnut

Interactive demos

walnut.io · 2026-10-16
Tool

Supademo

Interactive demos

supademo.com · 2026-10-16
Article

Forward Deployed Engineers

Marty Cagan argues FDEs work best when field learnings get turned into reusable platform capabilities.

SVPG · 2026-10-16
Repo

n8n-io/n8n

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

github.com · 2026-10-19
Repo

firecrawl/firecrawl

Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥

github.com · 2026-10-19
Repo

ollama/ollama

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

github.com · 2026-10-19
Repo

langgenius/dify

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

github.com · 2026-10-19
Repo

anthropics/claude-code

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

github.com · 2026-10-19
Post

Prashant Lakhera (@lakhera2015)

🚀 Forward Deployed Engineer might be one of the most interesting roles to watch in the AI job market right now. A few years ago, when we talked about Forward D

x.com · 2026-09-17
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🚀 Forward Deployed Engineer might be one of the most interesting roles to watch in the AI job market right now.

A few years ago, when we talked about Forward Deployed Engineers, one company immediately came to mind: Palantir. That is changing very quickly.

I spent some time
Post

Data Science Dojo (@DataScienceDojo)

We're excited to have Aater Suleman, Co-founder of Vixul, Hannah Marlowe, Senior Director of AI Forward Deployed Engineering at Databricks, and Dan Maloney, CEO

x.com · 2026-10-08
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We're excited to have Aater Suleman, Co-founder of Vixul, Hannah Marlowe, Senior Director of AI Forward Deployed Engineering at Databricks, and Dan Maloney, CEO of LandingAI, joining the panel "Secure AI Needs Forward Deployed Engineers" at the Agentic AI Conference! 🎙️

Secure,
Post

Roc Rizzardini (@rocrizzardini)

You hired a forward deployed engineer to write code. The survey says the job is 31% code. The other 47% is why the role exists. Perspective AI surveyed 1,500 f

x.com · 2026-10-10
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You hired a forward deployed engineer to write code. The survey says the job is 31% code. The other 47% is why the role exists.

Perspective AI surveyed 1,500 forward deployed engineers at 154 companies, February to April 2026 (published May 18, 2026):

1. The median week: 47%
Post

Mark Ajzenstadt (@mardehaym)

Hot take: forward-deployed engineering is overrated. Gartner predicts that by 2028, 70% of enterprises will abandon agentic AI built by vendor forward-deployed

x.com · 2026-10-07
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Hot take: forward-deployed engineering is overrated.

Gartner predicts that by 2028, 70% of enterprises will abandon agentic AI built by vendor forward-deployed engineers, citing rising costs and the inability to evolve those systems independently.

I’ve spent over a decade
Post

Alfin (@AlfinCodes)

Anthropic is hiring Forward Deployed Engineers (FDEs) But what the hell is a Forward Deployed Engineer?

x.com · 2026-10-11
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Anthropic is hiring Forward Deployed Engineers (FDEs)

But what the hell is a Forward Deployed Engineer?
Post

The Adaptive Engineer (@zahiruddin_t)

Everyone talks about Forward Deployed Engineers at OpenAI, Anthropic, and Palantir. But I think there's an equally important role The Internal Forward Deployed

x.com · 2026-10-12
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Everyone talks about Forward Deployed Engineers at OpenAI, Anthropic, and Palantir.
But I think there's an equally important role 
The Internal Forward Deployed Engineer.
The engineer who helps teams across an enterprise adopt AI.
AI tip

Give the model the role and the reader

Say who it is writing as and for whom (e.g. 'a CFO who skims'). Output changes more from audience than from adjectives.

FDE Radar · 2026-10-16
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Say who it is writing as and for whom (e.g. 'a CFO who skims'). Output changes more from audience than from adjectives.
AI tip

Paste the source, don't describe it

Paste call notes, docs or logs. Summaries of summaries lose the details that matter.

FDE Radar · 2026-10-16
Show details
Paste call notes, docs or logs. Summaries of summaries lose the details that matter.
AI tip

Ask it to flag gaps instead of guessing

Add 'If the input doesn't support an answer, write NEEDS REVIEW.' This cuts made-up details in customer-facing work.

FDE Radar · 2026-10-16
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Add 'If the input doesn't support an answer, write NEEDS REVIEW.' This cuts made-up details in customer-facing work.
AI tip

Use structure for reusable outputs

Request fixed sections or a table so status updates and POC docs look the same every week.

FDE Radar · 2026-10-16
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Request fixed sections or a table so status updates and POC docs look the same every week.
AI tip

Iterate in two passes

First ask for a draft, then ask it to critique the draft as the skeptical buyer, then revise.

FDE Radar · 2026-10-16
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First ask for a draft, then ask it to critique the draft as the skeptical buyer, then revise.
AI tip

Keep a personal prompt library

Save prompts that worked with your [BRACKET] variables. Our prompts page is a starting point.

FDE Radar · 2026-10-16
Show details
Save prompts that worked with your [BRACKET] variables. Our prompts page is a starting point.
Start here

Cursor

AI code editor with an agent mode and a familiar VS Code feel.

  • Our pickan editor first, agent second, so it's the gentlest start if you already code in VS Code.
  • free plan: yes
cursor.com · checked 2026-10-19

LangSmith

Hosted tracing, datasets and evals from LangChain, works with any framework.

langchain.com · checked 2026-10-19
Start here

Navattic

Interactive, click-through product demos built from captures of your app.

  • Our pickclick-through demos with no code; already on our tools list.
  • free plan: yes
navattic.com · checked 2026-10-19

Storylane

Interactive product demos and guided tours.

storylane.io · checked 2026-10-19
Start here

Granola

Notepad that adds AI notes to what you type in a meeting.

  • Our picknotes on your own machine with no bot joining the call. Check your company approves it first.
  • free plan: yes
granola.ai · checked 2026-10-19
Advanced

Gong

Revenue intelligence: call recording, deal tracking and coaching across a sales team.

  • Our pickteam-wide call recording and deal tracking, usually bought by the sales org.
  • free plan: not listed
gong.io · checked 2026-10-19
Start here

Grok Bot Outbound Prospecting template

Finds prospects that match your ideal customer and drafts a first message to each, for your review.

  • Importable; every fact needs a source URL or stays blank, and it never sends without a yes. (template by Krista Letz)
x.ai · checked 2026-10-19
Start here

Zapier

No-code automation across thousands of apps.

zapier.com · checked 2026-10-19
Tool

TestBox

Live demo environments

testbox.com · 2026-10-16
Tool

HowdyGo

AI demo sandboxes

howdygo.com · 2026-10-16
Tool

Vivun

Presales AI agent

vivun.com · 2026-10-16
Tool

Loopio

RFP response

loopio.com · 2026-10-16
Tool

Gong

Call intelligence

gong.io · 2026-10-16
Tool

Saleo

Live demo data

saleo.io · 2026-10-16
Tool

Rocketlane

Customer onboarding / implementation

rocketlane.com · 2026-10-16
Tool

Arcade

Interactive demos

arcade.software · 2026-10-16
Tool

Highspot

Sales enablement

highspot.com · 2026-10-16
Tool

Seismic

Sales enablement

seismic.com · 2026-10-16
Tool

Loom

Async video

loom.com · 2026-10-16
Tool

Cursor

AI code editor

cursor.com · 2026-10-16
Tool

LangSmith

LLM tracing & evals

langchain.com · 2026-10-16
Tool

n8n

Workflow automation

n8n.io · 2026-10-16
Tool

Zapier

Workflow automation

zapier.com · 2026-10-16
Tool

Fathom

AI meeting notes

fathom.video · 2026-10-16
Tool

Granola

AI meeting notes

granola.ai · 2026-10-16
Skill

Containers

Free: Docker Get Started

Docker Get Started · 2026-10-16
Prompt

Scope a proof of concept

Draft a POC scope for [COMPANY] testing [PRODUCT] for [USE CASE]. Include: objective, 3–5 measurable success criteria, in/out of scope, data

FDE Radar · 2026-10-16
Show prompt
Draft a POC scope for [COMPANY] testing [PRODUCT] for [USE CASE]. Include: objective, 3–5 measurable success criteria, in/out of scope, data and access needed from them, timeline by week, owners on both sides, and exit decision. Keep it to one page.
Prompt

Pressure-test success criteria

Here are proposed POC success criteria: [PASTE]. For each, say if it is measurable, who measures it, how it could be gamed or misread, and r

FDE Radar · 2026-10-16
Show prompt
Here are proposed POC success criteria: [PASTE]. For each, say if it is measurable, who measures it, how it could be gamed or misread, and rewrite vague ones into concrete pass/fail tests.
Prompt

Data and security questionnaire prep

The customer sent this security/IT questionnaire: [PASTE]. Using our documentation [PASTE], draft answers. Mark any question where our docs

FDE Radar · 2026-10-16
Show prompt
The customer sent this security/IT questionnaire: [PASTE]. Using our documentation [PASTE], draft answers. Mark any question where our docs don't clearly support an answer as NEEDS REVIEW instead of guessing.
Prompt

Architecture explainer for execs

Explain this integration architecture [PASTE DIAGRAM DESCRIPTION OR NOTES] to a non-technical VP in under 200 words: what connects to what,

FDE Radar · 2026-10-16
Show prompt
Explain this integration architecture [PASTE DIAGRAM DESCRIPTION OR NOTES] to a non-technical VP in under 200 words: what connects to what, where their data goes, and what their team has to do. No jargon without a plain-English gloss.
Prompt

Write a solution design doc

Turn these notes into a solution design doc with sections: context, requirements, proposed design, integrations, data flow, security conside

FDE Radar · 2026-10-16
Show prompt
Turn these notes into a solution design doc with sections: context, requirements, proposed design, integrations, data flow, security considerations, alternatives considered, open questions. Notes: [PASTE]
Prompt

Debug log triage

Here is an error log from a customer environment: [PASTE]. Summarize what likely failed, the 3 most probable root causes in order, and the e

FDE Radar · 2026-10-16
Show prompt
Here is an error log from a customer environment: [PASTE]. Summarize what likely failed, the 3 most probable root causes in order, and the exact next diagnostic step for each. Say clearly if the log is insufficient.
Prompt

Objection response drafts

Prospect objection: "[OBJECTION]". Context: [DEAL CONTEXT]. Give 3 responses: one that asks a clarifying question, one that reframes with a

FDE Radar · 2026-10-16
Show prompt
Prospect objection: "[OBJECTION]". Context: [DEAL CONTEXT]. Give 3 responses: one that asks a clarifying question, one that reframes with a business outcome, one that offers proof (POC, reference, doc). Keep each under 60 words.
Prompt

Competitive positioning

We're competing with [COMPETITOR] for [USE CASE]. From the public info I paste [PASTE], list where they are genuinely stronger, where we are

FDE Radar · 2026-10-16
Show prompt
We're competing with [COMPETITOR] for [USE CASE]. From the public info I paste [PASTE], list where they are genuinely stronger, where we are, and 4 discovery questions that surface our strengths honestly. Don't invent claims about them.
Prompt

Build vs buy rebuttal

The customer's engineering team says they can build this in-house. Draft a respectful talk track covering total cost of ownership, time to v

FDE Radar · 2026-10-16
Show prompt
The customer's engineering team says they can build this in-house. Draft a respectful talk track covering total cost of ownership, time to value, maintenance, and what they'd still own. Include 3 questions to quantify their build estimate.
Prompt

30-60-90 implementation plan

Create a 30-60-90 day implementation plan for [CUSTOMER] deploying [PRODUCT] for [USE CASE] with [TEAM SIZE]. Include milestones, dependenci

FDE Radar · 2026-10-16
Show prompt
Create a 30-60-90 day implementation plan for [CUSTOMER] deploying [PRODUCT] for [USE CASE] with [TEAM SIZE]. Include milestones, dependencies, customer-side owners, risks, and what 'live' means at day 90. Use TBD for any owner or date I haven't given you.
Prompt

Risk register

From this project plan [PASTE], build a risk register table: risk, likelihood, impact, early warning sign, mitigation, owner. Add 3 risks th

FDE Radar · 2026-10-16
Show prompt
From this project plan [PASTE], build a risk register table: risk, likelihood, impact, early warning sign, mitigation, owner. Add 3 risks the plan doesn't mention but deployments like this commonly hit, labeled GENERIC.
Prompt

Runbook from tribal knowledge

Here's a messy Slack thread about how we set up [SYSTEM] for a customer: [PASTE]. Turn it into a numbered runbook with prerequisites, steps,

FDE Radar · 2026-10-16
Show prompt
Here's a messy Slack thread about how we set up [SYSTEM] for a customer: [PASTE]. Turn it into a numbered runbook with prerequisites, steps, verification checks, and rollback steps. Mark anything the thread doesn't cover as GAP instead of filling it in.
Prompt

Weekly customer status update

Write a weekly status email for [CUSTOMER] from these notes [PASTE]: green/yellow/red status, done this week, next week, blockers needing th

FDE Radar · 2026-10-16
Show prompt
Write a weekly status email for [CUSTOMER] from these notes [PASTE]: green/yellow/red status, done this week, next week, blockers needing their action (with owner and date), decisions needed. Under 200 words.
Prompt

Escalation email

Draft a calm escalation email to [CUSTOMER EXEC] about [ISSUE]: what happened, impact, what we've done, what we need from them, and the date

FDE Radar · 2026-10-16
Show prompt
Draft a calm escalation email to [CUSTOMER EXEC] about [ISSUE]: what happened, impact, what we've done, what we need from them, and the date of the next update (use [DATE] if I haven't given one). No blame, no hedging.
Prompt

Internal deal debrief

Summarize this deal for my internal team from these notes [PASTE]: why we won/lost, what the customer actually valued, product gaps raised (

FDE Radar · 2026-10-16
Show prompt
Summarize this deal for my internal team from these notes [PASTE]: why we won/lost, what the customer actually valued, product gaps raised (each with a verbatim quote from the notes or "no quote", a theme, and the deal size), and 3 lessons for the next similar deal.
Prompt

Executive business review

Draft an EBR outline for [CUSTOMER] after [N] months using these usage metrics and outcomes [PASTE]: goals vs results, value delivered, adop

FDE Radar · 2026-10-16
Show prompt
Draft an EBR outline for [CUSTOMER] after [N] months using these usage metrics and outcomes [PASTE]: goals vs results, value delivered, adoption gaps, roadmap asks, and a proposed expansion next step. Only use the numbers provided.
Prompt

AE brief and follow-up email

From this corrected deal summary [PASTE], write (1) a 5-bullet brief for my account executive: pain, deadline, must-haves, buying path, next

FDE Radar · 2026-10-16
Show prompt
From this corrected deal summary [PASTE], write (1) a 5-bullet brief for my account executive: pain, deadline, must-haves, buying path, next step with date, and (2) a short follow-up email to the customer recapping what we heard and the agreed next steps. Use only facts in the summary.
Prompt

Build the eval set

Here is the agent's task: [TASK]. Here are real example inputs, shared with permission: [PASTE]. For each input, write the expected output a

FDE Radar · 2026-10-16
Show prompt
Here is the agent's task: [TASK]. Here are real example inputs, shared with permission: [PASTE]. For each input, write the expected output and 1-3 pass/fail checks a script or reviewer can apply. Mark ambiguous inputs AMBIGUOUS instead of choosing an answer, and list them for the customer to label.
Prompt

Pass-rate report

Agreed criteria: [PASTE]. Eval results: [PASTE]. Report the pass rate for each criterion with counts (e.g. 27/30), say pass or fail against

FDE Radar · 2026-10-16
Show prompt
Agreed criteria: [PASTE]. Eval results: [PASTE]. Report the pass rate for each criterion with counts (e.g. 27/30), say pass or fail against each threshold, list the failing ids, and give one concrete next fix. Use only the numbers provided.

(To agree the criteria first, use the poc-scope-that-gets-signed skill.)
Workflow

Integration debugging loop

5 steps: Reproduce the issue and capture logs, request/response and environment. Redact tokens, API keys, passwords and personal data before pasting anything into an AI tool.

FDE Radar · 2026-10-16
Show details
1. Reproduce the issue and capture logs, request/response and environment. Redact tokens, API keys, passwords and personal data before pasting anything into an AI tool.
2. Paste logs into the triage prompt for ranked root causes.
3. The user tests the top hypothesis with Postman, curl or a small script, and pastes the result back.
4. Document the fix as a runbook entry.
5. Share a plain-English summary with the customer.
Workflow

30-60-90 implementation plan

5 steps: Feed scope, team size and success criteria into the 30-60-90 prompt.

FDE Radar · 2026-10-16
Show details
1. Feed scope, team size and success criteria into the 30-60-90 prompt.
2. Generate a risk register and add customer-specific risks.
3. Ask the user for customer-side owners for every dependency; write TBD where none is given.
4. The user reviews the plan in the kickoff meeting and gets explicit agreement.
5. Turn milestones into weekly status-update headings.
Workflow

Weekly status update on autopilot

5 steps: Keep a running notes doc per customer during the week.

FDE Radar · 2026-10-16
Show details
1. Keep a running notes doc per customer during the week.
2. Friday: paste notes into the status prompt (RAG status, done, next, blockers).
3. Check every owner and date is real.
4. Return the email as a draft. The user sends it and pins it in the shared channel.
5. Escalate any red item with the escalation prompt the same day.
Workflow

Runbook from Slack chaos

5 steps: Export the relevant thread(s). Remove tokens, passwords and customer personal data first.

FDE Radar · 2026-10-16
Show details
1. Export the relevant thread(s). Remove tokens, passwords and customer personal data first.
2. Prompt the AI to produce a numbered runbook with checks and rollback.
3. Follow the runbook yourself once on a test environment.
4. Fix steps that fail, then publish to your wiki.
5. Link the runbook in future tickets.
Workflow

Deal debrief → product feedback

5 steps: After win/loss, paste notes into the debrief prompt.

FDE Radar · 2026-10-16
Show details
1. After win/loss, paste notes into the debrief prompt.
2. Extract product gaps. Use only verbatim quotes that appear in the notes; if a gap has no quote, say so.
3. Group gaps by theme and deal size.
4. The user shares the gap list with product monthly in a single doc.
5. The user tracks which gaps ship and tells the customer.
Workflow

EBR deck in an afternoon

5 steps: Export usage metrics and outcomes for the period.

FDE Radar · 2026-10-16
Show details
1. Export usage metrics and outcomes for the period.
2. Prompt the EBR outline using only the provided numbers.
3. Ask the user for one real customer story; take one adoption gap from the data. Mark anything missing [NEEDED].
4. Propose a specific next step grounded in the data; for commercial expansion, use the user's option and pricing, never invented numbers.
5. Rehearse with the champion before the exec meeting.
beginner

Discovery call to brief

kit skill discovery-to-brief-in-15-minutes

Try this first: /discovery-to-brief-in-15-minutes then paste your call notes.

  • Kit skill + guide
fderadar.com · checked 2026-10-19
Show prompt
Try this first:
/discovery-to-brief-in-15-minutes then paste your call notes.
beginner

Account research before a first call

kit skill account-research-before-first-call

Try this first: Give it the company and the attendees' roles; get a one-page call plan with 10 ranked discovery questions.

  • Kit skill + guide
fderadar.com · checked 2026-10-19
Show prompt
Try this first:
Give it the company and the attendees' roles; get a one-page call plan with 10 ranked discovery questions.
beginner

Weekly customer status update

kit skill weekly-status-update-on-autopilot

Try this first: Paste this week's notes and Slack threads; review the draft before it goes anywhere.

  • Kit skill + guide
fderadar.com · checked 2026-10-19
Show prompt
Try this first:
Paste this week's notes and Slack threads; review the draft before it goes anywhere.
intermediate

Prospecting list for review

Grok Bot Outbound Prospecting template (Krista Letz)

Try this first: Give it 5 target companies; it returns a sourced review list and sends nothing.

  • Grok Bot template
x.ai · checked 2026-10-19
Show prompt
Try this first:
Give it 5 target companies; it returns a sourced review list and sends nothing.
intermediate

Security questionnaire first pass

kit skill security-questionnaire-first-pass

Try this first: Paste the questionnaire plus your approved security docs; it answers only from them and marks gaps NEEDS REVIEW.

  • Kit skill + guide
fderadar.com · checked 2026-10-19
Show prompt
Try this first:
Paste the questionnaire plus your approved security docs; it answers only from them and marks gaps NEEDS REVIEW.
advanced

Agent POC with evals

kit skill agent-poc-with-evals

Try this first: Start with 20-50 real example inputs; it walks you through the build, the evals and a pass-rate report.

  • Kit skill + guide
fderadar.com · checked 2026-10-19
Show prompt
Try this first:
Start with 20-50 real example inputs; it walks you through the build, the evals and a pass-rate report.
advanced

Nightly prospecting routine

guide: prospecting-agent-setup.html (built on Grok Bot's official Sales Outbound use case)

Try this first: Run the prompt by hand once, then schedule it to stop at the review list.

  • Guide
fderadar.com · checked 2026-10-19
Show prompt
Try this first:
Run the prompt by hand once, then schedule it to stop at the review list.
Repo

openai/codex

Lightweight coding agent that runs in your terminal

github.com · 2026-10-19
Repo

shadcn-ui/ui

Composable, accessible components with thoughtful defaults. Build your own component library with code you can customize, extend, and make your own.

github.com · 2026-10-19
Repo

browser-use/browser-use

Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.

github.com · 2026-10-19
Repo

supabase/supabase

The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

github.com · 2026-10-19
Repo

unclecode/crawl4ai

Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.

github.com · 2026-10-19
Repo

mem0ai/mem0

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

github.com · 2026-10-19
Repo

BerriAI/litellm

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

github.com · 2026-10-19
Repo

crewAIInc/crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

github.com · 2026-10-19
Repo

Aider-AI/aider

aider is AI pair programming in your terminal

github.com · 2026-10-19
Repo

stanfordnlp/dspy

DSPy: The framework for programming—not prompting—language models

github.com · 2026-10-19
Repo

langfuse/langfuse

🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

github.com · 2026-10-19
Repo

mastra-ai/mastra

Mastra is the modern TypeScript framework for AI-powered applications and agents.

github.com · 2026-10-19
Repo

vercel/ai

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

github.com · 2026-10-19
Repo

promptfoo/promptfoo

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.

github.com · 2026-10-19
Repo

google/adk-python

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

github.com · 2026-10-19
Repo

vercel/chatbot

A full-featured, hackable Next.js AI chatbot built by Vercel

github.com · 2026-10-19
Repo

pydantic/pydantic-ai

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

github.com · 2026-10-19
Repo

pipecat-ai/pipecat

Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

github.com · 2026-10-19
Repo

livekit/agents

A framework for building realtime voice AI agents 🤖🎙️📹

github.com · 2026-10-19
Repo

simonw/llm

Access large language models from the command-line

github.com · 2026-10-19
Article

Building effective agents

Anthropic's patterns for agent systems that work in practice. Useful before scoping any agent POC.

Anthropic · 2026-10-16
Article

Diary of a Sales Engineer

A podcast on Sales Engineer careers, including episodes on forward-deploy solution engineers and Field CTO paths.

DiaryofaSE · 2026-10-16
Post

sachin (@sachin_11004)

According to CNBC, Amazon Web Services and Anthropic are racing to build specialized AI engineering teams as Big Tech spends billions on artificial intelligence

x.com · 2026-10-15
Show details
According to CNBC, Amazon Web Services and Anthropic are racing to build specialized AI engineering teams as Big Tech spends billions on artificial intelligence and looks for proof that the investments can generate business results. AWS has committed $1 billion to a
Post

Santhosh Patel (@santhosh_patell)

Anthropic just put $100M into Claude Frontier Academy (Oct 2) to train 10k Forward Deployed Engineers. And they are still hiring their own Claude Code + India A

x.com · 2026-10-03
Show details
Anthropic just put $100M into Claude Frontier Academy (Oct 2) to train 10k Forward Deployed Engineers. And they are still hiring their own Claude Code + India Applied AI seats hard.

Open (Greenhouse, checked live):
• Staff Software Engineer, Claude Code - SF / NYC / Seattle
AI tip

Check your company's data policy first

Don't paste customer data, credentials or contracts into tools your company hasn't approved.

FDE Radar · 2026-10-16
Show details
Don't paste customer data, credentials or contracts into tools your company hasn't approved.
AI tip

Verify every number and claim

Treat model output as a draft. Check figures, product capabilities and competitor claims before they reach a customer.

FDE Radar · 2026-10-16
Show details
Treat model output as a draft. Check figures, product capabilities and competitor claims before they reach a customer.
AI tip

Use AI for demo data, not demo truth

Generate fake but realistic sample data; never let the model invent features your product doesn't have.

FDE Radar · 2026-10-16
Show details
Generate fake but realistic sample data; never let the model invent features your product doesn't have.
AI tip

Turn tribal knowledge into runbooks

Paste Slack threads and ask for numbered steps with verification and rollback. Then test the runbook once yourself.

FDE Radar · 2026-10-16
Show details
Paste Slack threads and ask for numbered steps with verification and rollback. Then test the runbook once yourself.
AI tip

Prep with a role-play

Ask the model to play the skeptical buyer or security reviewer and run through your demo or answers.

FDE Radar · 2026-10-16
Show details
Ask the model to play the skeptical buyer or security reviewer and run through your demo or answers.
AI tip

Learn how your tools connect to AI

Standards like the Model Context Protocol let assistants reach your tools and data; understanding them is quickly becoming part of deployment work.

FDE Radar · 2026-10-16
Show details
Standards like the Model Context Protocol let assistants reach your tools and data; understanding them is quickly becoming part of deployment work.