Sequential AgentSalesintermediate

Discovery Call Prep

Acts as · Senior B2B Account Executive and Sales Strategist

Turns your account and contact context into a focused discovery-call game plan: a briefing that separates facts from inferences, tailored open-ended discovery questions (Situation, Pain and Impact, Decision Process), the objections this specific buyer is likely to raise with honest responses, and a call agenda with the one outcome to drive toward. Pure standalone, no tools or tables required.

A single-purpose agent that runs an ordered list of tasks against your tools, knowledge and tables, the same way every run.

Official~2 min setupby Akshay Gupta
How it works

Inputs in, an ordered run, a result out.

A Sequential Agent takes typed inputs, runs its tasks top to bottom against your tools and tables, and returns a structured result, the same way on every run.

Typed inputs
Values you pass in, validated before the run spends anything.
3 tasks
Each task runs in order, passing its output to the next.
Runs standalone
No external tools or tables needed.
Result + trace
A structured output, with every step recorded.
The run loop
ReadPlanActCheckWriteTracerepeats until done

What's inside

Everything this template installs, by name.

Tools & tables
Runs standalone, no external tools or tables required
Tasks
3 ordered tasks

What it takes in

The inputs you provide on each run, validated before anything executes.

InputTypeRequired
Company And Deal ContextcompanyContextLong textRequired
Contact DetailscontactDetailsLong textRequired
Your OfferyourOfferLong textRequired
Call ObjectivecallObjectiveShort textOptional
The work, step by step

3 tasks, run in order.

Each task passes its result to the next. Here's what each does and what it produces.

  1. 01
    Synthesize the account. From {{companyContext}}, {{contactDetails}}, and {{yourOffer}}, build a focused briefing: who you are meeting and their likely priorities, what the company is probably trying to achieve, and where your offer could fit. Clearly separate stated facts from your inferences. If {{callObjective}} is provided, frame the briefing around it. Present readably, never JSON.
    Expected output
    A readable briefing using headings and bullets, no JSON and no code blocks: Who You Are Meeting (role and likely priorities), Company Situation (what they are likely trying to achieve, with stated facts and inferences labeled), and Where We Could Fit (the likely connection between their situation and your offer).
  2. 02
    Build the discovery plan. Using the Task 1 briefing, write tailored, open-ended discovery questions grouped into Situation, Pain and Impact, and Decision Process. Then list the most likely objections this specific buyer may raise, each with a concise, honest way to handle it. Tie everything to this prospect, not generic templates. Present readably, never JSON.
    Expected output
    A readable plan with no JSON and no code blocks: Discovery Questions grouped under three headings (Situation, Pain and Impact, Decision Process) with several questions each; and Likely Objections, a bulleted list where each item states the objection and a short suggested response.
  3. 03
    Lay out the game plan. Using Tasks 1 and 2, recommend a simple call structure or agenda with rough time allocation, state the single primary outcome the rep should drive toward and the ideal next step to propose, and list red flags or buying signals to listen for during the call. Present readably, never JSON.
    Expected output
    A readable game plan with no JSON and no code blocks: Call Agenda (a short ordered list of segments with rough timing), Primary Outcome and Next Step (the one goal and the next step to propose), and Listen For (bullets of red flags and positive buying signals).

What you can do with it

Tailored Call Briefing
Creates customized discovery call agendas instantly
Objection Handling Prep
Identifies likely buyer objections with strategic responses
Focused Questioning Guide
Generates open-ended questions to uncover buyer needs
Outcome-Driven Planning
Aligns call objectives with desired outcomes effectively

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